Networks and the World Wide Web seem to provide an answer to efficiently creating and disseminating knowledge resources. Knowledge, however, is ambiguous in character, and contains both explicit (information) and tacit dimensions - the latter being difficult to value as well as to transfer. Participant identity, commitment and behaviour within the network also affect the sharing of knowledge. Hence, existing laws and norms (including property rights) which have been established on the basis of discrete transactions and monetary value-oriented exchange (...) may not be adequate to deal with the whole spectrum of knowledge transfer. A model is needed to address transfer across a large heterogeneous network. We introduce the concept of sub-networks where tacit knowledge resides and argue that considering social norms underlying trust and other informal mechanisms provides a more suitable basis for understanding the exchange of tacit knowledge. Norm establishment is complicated by the fact that values differ across cultures; however, the social norms that underpin sub-networks can sustain knowledge transfer within them. The purpose of this conceptual article is to introduce the concept of sub-networks and to identify the sub-network/network relationship as an area in which it is necessary to look beyond property rights and raise the issue of norms. We believe that an analysis of the role of social norms in knowledge sub-networks and their interaction with global networks points to a key element in understanding networks and any emerging theory of network ethics in the twenty-first century. (shrink)

This article explores some current transformations of the social. It argues for a shift from a model of sociality based on community towards a network sociality. This shift is particularly visible in urban spaces and in the cultural industries. However, it seems to become paradigmatic more widely of the information society. The article is to be read as a cultural hypothesis. In the first part I introduce some examples that document the rise of a network sociality. Most of (...) these examples are drawn from a two-year ethnographic study of London's new media. The second part consists of a critique of some theoretical accounts of contemporary transformations of sociality. The third part is an attempt to outline the concept of network sociality. It is a form of sociality that is ephemeral but intense, it is informational and technological, it combines work and play, it is disembedded and generic, and it emerges in the context of individualization. (shrink)

Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, (...) cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts. (shrink)

Social entrepreneurship, individual activities with a social objective, is used in this study as a conceptual tool for empirically examining farmers’ participation in alternative food networks. This study verifies whether their participation is driven by the social entrepreneurship dimension to satisfy social and environmental needs. We develop a more inclusive view of how social entrepreneurship is present among farmers participating in AFNs by using a behavioural approach based on three main psychological constructs: attitude, objective, and behaviour. The empirical results show (...) that two types of farmers participate in AFNs. One type is closer to commercial entrepreneurs; the main attitudes and objectives affecting their behaviour are oriented toward profit maximization and farm progress. The second type is closer to social entrepreneurial activity; the main objectives affecting their behaviour are oriented towards satisfying social and environmental needs. The study’s results offer implications and suggest recommendations concerning social entrepreneurial practices and the motivations of the farmers who participate in AFNs. (shrink)

Social entrepreneurship, individual activities with a social objective, is used in this study as a conceptual tool for empirically examining farmers’ participation in alternative food networks. This study verifies whether their participation is driven by the social entrepreneurship dimension to satisfy social and environmental needs. We develop a more inclusive view of how social entrepreneurship is present among farmers participating in AFNs by using a behavioural approach based on three main psychological constructs: attitude, objective, and behaviour. The empirical results show (...) that two types of farmers participate in AFNs. One type is closer to commercial entrepreneurs; the main attitudes and objectives affecting their behaviour are oriented toward profit maximization and farm progress. The second type is closer to social entrepreneurial activity; the main objectives affecting their behaviour are oriented towards satisfying social and environmental needs. The study’s results offer implications and suggest recommendations concerning social entrepreneurial practices and the motivations of the farmers who participate in AFNs. (shrink)

Animals have evolved complex foraging strategies to obtain a nutritionally balanced diet and associated fitness benefits. Recent research combining state-space models of nutritional geometry with agent-based models (ABMs), show how nutrient targeted foraging behavior can also influence animal social interactions, ultimately affecting collective dynamics and group structures. Here we demonstrate how social network analyses can be integrated into such a modeling framework and provide a practical analytical tool to compare experimental results with theory. We illustrate our approach by examining (...) the case of nutritionally mediated dominance hierarchies. First we show how nutritionally explicit ABMs that simulate the emergence of dominance hierarchies can be used to generate social networks. Importantly the structural properties of our simulated networks bear similarities to dominance networks of real animals (where conflicts are not always directly related to nutrition). Finally, we demonstrate how metrics from social network analyses can be used to predict the fitness of agents in these simulated competitive environments. Our results highlight the potential importance of nutritional mechanisms in shaping dominance interactions in a wide range of social and ecological contexts. Nutrition likely influences social interactions in many species, and yet a theoretical framework for exploring these effects is currently lacking. Combining social network analyses with computational models from nutritional ecology may bridge this divide, representing a pragmatic approach for generating theoretical predictions for nutritional experiments. (shrink)

Social distance often motivates consumers to increase their interactions through social networking sites. This study identifies antecedents of consumer brand usage and brand connection of SNSs, under the influence of consumer perceived ethics (CPE), during the COVID pandemic and afterward (N = 308). The proposed model was tested using partial least squares-structural equation modeling with AMOS 23. In both periods, this study shows CPE consistently affects consumer engagement and involvement. The results demonstrate that in social isolation, affective engagement has higher (...) relevance to driving Self-Brand Connection (SBC) among consumers and SNSs. On the other hand, CPE was demonstrated to provide consistent and significant effects in both periods, showing its stable capacity to impact brand involvement, engagement, use, and self-connection. In the context of the pandemic, this study demonstrates the consistent effects of CPE and other impacts of Consumer Brand Engagement (CBE) on brand usage and self-connection of SNSs. (shrink)

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half (...) the accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (shrink)

Employee social network strategies play a key role in firm strategies and organizational performance. Currently, scholars underestimate the contributions of employee social strategies in firm strategies. Little is known how informal employee social networks, group entitativity and competition could shape and direct firm strategies and organizational performance. The article examines social network theory and strategic management’s content, process and open schools of thought to propose a new interpretation for managing firm strategies. More specifically, the author examines alternate causal (...) paths, underlying processes and structures as mechanisms in employee social network strategies within a theoretical framework. The article proposes 4 theoretically driven propositions and makes two contributions. First, the article contributes to organizational behavior literature by focusing on the literature gap in network dynamics and competitive actions through employee social networks. Second, although there is immense literature on positive and negative employee competition in business, the article makes a contribution to the strategic management literature by moving beyond formalized structures and roles within an organization to focus on the multilevel informal workplace social interactions and processes that impact strategizing activities. Overall, the article extends strategy research in relation to how employee social networks operate through competition and group entitativity in firm strategies. (shrink)

This paper argues in favor of more widespread and systematic applications of a virtue-based normative framework to questions about the ethical impact of information technologies, and social networking technologies in particular. The first stage of the argument identifies several distinctive features of virtue ethics that make it uniquely suited to the domain of IT ethics, while remaining complementary to other normative approaches. I also note its potential to reconcile a number of significant methodological conflicts and debates in the existing literature, (...) including tensions between phenomenological and constructivist perspectives. Finally, I claim that a virtue-based perspective is needed to correct for a strong utilitarian bias in the research methodologies of existing empirical studies on the social and ethical impact of IT. The second part of the paper offers an abbreviated demonstration of the merits of virtue ethics by showing how it might usefully illuminate the moral dimension of emerging social networking technologies. I focus here on the potential impact of such technologies on three virtues typically honed in communicative practices: patience, honesty and empathy. (shrink)

This paper examines social network size in contemporary Western society based on the exchange of Christmas cards. Maximum network size averaged 153.5 individuals, with a mean network size of 124.9 for those individuals explicitly contacted; these values are remarkably close to the group size of 150 predicted for humans on the basis of the size of their neocortex. Age, household type, and the relationship to the individual influence network structure, although the proportion of kin remained relatively (...) constant at around 21%. Frequency of contact between network members was primarily determined by two classes of variable: passive factors (distance, work colleague, overseas) and active factors (emotional closeness, genetic relatedness). Controlling for the influence of passive factors on contact rates allowed the hierarchical structure of human social groups to be delimited. These findings suggest that there may be cognitive constraints on network size. (shrink)

Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of networks, (...) on the other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)

Food justice scholars have criticized alternative food networks (AFNs) for lacking concern about gender, class, race, and ethnicity, thus not addressing structural inequalities. This paper further suggests that the incorporation of social justice into AFNs’ on-the-ground operations is critical in creating a more sustainable and just agri-food system that challenges the industrial and corporate-controlled food system. By exploring an urban–rural mutual aid cooperative in southwest China, this paper highlights a localized AFN that has successfully cultivated close social ties between ethnic (...) minority small farmers in remote areas and urban consumers. Through these ties, consumers’ desires for safe food are satisfied and some small producers’ livelihoods have improved. Yet, competing values between supporting small farmers and satisfying consumers’ needs create tensions in the co-op’s daily operation. Importantly, I demonstrate that failing to incorporate social justice into its construction of social embeddedness, existing inequalities of gender, class, and ethnicity within the co-op not only go unchallenged but rather underlie consumers’ trust in food quality and make women farmers all but invisible. Developing a situated and feminist framework of AFNs, this paper contributes to existing literature on AFNs by challenging and complicating the assumption of social embeddedness derived from Anglo-American contexts, as well as by focusing on women’s perceptions and lived experiences. (shrink)

Purpose Online social networks can bridge the gap between distant individuals by simulating online experiences that closely resemble physical interactions. While people have positive experiences, such as joy, in a physical relationship and would like to enjoy those experiences online, they also have negative experiences, such as being subject to a lie. An online social network may allow users to lie to simulate a real-world social group better. However, lying must be prevented on social networks as unethical behavior. Thus, (...) this study aims to investigate an ethical dilemma raised due to the two abovementioned perspectives. Design/methodology/approach This paper examines different aspects of lying in social networks, using a comprehensive descriptive literature review approach and a classification scheme. Findings Contrary to their initial intent, social networks are disrupting the traditional notion of human interaction, either by disregarding the presence of dishonesty or by attempting to regulate relationships. In this research, the authors examine the challenges of these two perspectives by identifying enablers, consequences and control measures of lying on social networks at the individual, social and technological levels. The authors also develop a framework to facilitate investigating this dilemma. Originality/value This paper examines a controversial topic. Although lying is unethical, allowing users to lie may be considered an appealing feature of social network platforms. This paper offers a framework to propose several research directions for future studies. This study’s examination focuses on the challenges associated with deception on social networks, prompting the formulation of three crucial questions regarding the potential impact of technology on such behavior. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In (...) particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

Abstract:Social contracting has a long and important place in the history of political philosophy (Hardin, 1991; Waldron, 1989) and as a theory of justice (Baynes, 1989; Rawls, 1971). More recently, it has been developed into an individual rights-based theory of organizations (Keeley, 1980, 1988), and as a way to integrate ethics and moral legitimacy into corporate strategy and action (Donaldson, 1982; Freeman&Gilbert, 1988). Currently, it is being proposed as an integrative theory of economic ethics (Donaldson&Dunfee, forthcoming). This paper will extend (...) the Donaldson and Dunfee approach by arguing thatsocial contracting can best be understood and applied in organizational settings if it is perceived and treated as a network governance process. This insight can benefit management scholars and practitioners alike, since it calls attention to the processes by which trust is created and sustained in on-going contractual relationships. It also strongly suggests that a new approach to applying managerial discretion, asmoral agency, is needed to realize the full competitive and ethical potential of emerging network forms. (shrink)

1. IntroductionFirst and foremost, the public sphere is the sphere of our social life. Social media’s naturally low barrier to entry and strong participatory attributes have made it more deeply rooted in human social life than any other media before it. Consequently, many scholars have put forward views and theories arguing that the web is essentially a public sphere.

Data on the number of adults that an individual contacts at least once a month in a set of British populations yield estimates of network sizes that correspond closely to those of the typical “sympathy group” size in humans. Men and women do not differ in their total network size, but women have more females and more kin in their networks than men do. Kin account for a significantly higher proportion of network members than would be expected (...) by chance. The number of kin in the network increases in proportion to the size of the family; as a result, people from large families have proportionately fewer non-kin in their networks, suggesting that there is either a time constraint or a cognitive constraint on network size. A small inner clique of the network functions as a support group from whom an individual is particularly likely to seek advice or assistance in time of need. Kin do not account for a significantly higher proportion of the support clique than they do for the wider network of regular social contacts for either men or women, but each sex exhibits a strong preference for members of their own sex. (shrink)

The value of the prohoemia or ‘prefaces’ to Cicero’s later philosophical works, composed in the last years of his life, has not yet been settled. Two schools of thought have emerged somewhat more clearly in recent times: one places a greater value on the prefaces as tools for understanding Cicero’s philosophica as a whole, the other applies a more skeptical approach, using a degree of caution as to the nexus between the prefaces and the treatises to which they were affixed. (...) The article advocates for the latter camp, however not only to temper the recent emphasis the optimists have placed on the prefaces as key interpretive elements to the dialogues, but to refocus their importance as extensions of Cicero’s personal and social networking with other Roman elites of his time. I rely on two main lines of argument: the anecdotal evidence from Cicero’s volumen prohoemiorum, “book of prefaces”, mentioned in a letter to Atticus in 44 bce, as well as a broader analysis of a deeper disconnect between Cicero’s prefatory rhetoric regarding Latin philosophical vocabulary compared with Greek and his translation practices in his treatises. (shrink)

Natural languages vary widely in the degree to which they make use of nested compositional structure in their grammars. It has long been noted by linguists that the languages historically spoken in small communities develop much deeper levels of compositional embedding than those spoken by larger groups. Recently, this observation has been confirmed by a robust statistical analysis of the World Atlas of Language Structures. In order to examine this connection mechanistically, we propose an agent‐based model that accounts for key (...) cultural evolutionary features of language transfer and language change. We identify transitivity as a physical parameter of social networks critical for the evolution of compositional structure and the hierarchical patterning of scale‐free distributions as inhibitory. (shrink)

Purpose: This study explores social networkers' interest in and attitudes toward personal genome testing (PGT), focusing on expectations related to the clinical integration of PGT results. Methods: An online survey of 1,087 social networking users was conducted to assess 1) use and interest in PGT; 2) attitudes toward PGT companies and test results; and 3) expectations for the clinical integration of PGT. Descriptive statistics were calculated to summarize respondents' characteristics and responses. Results: Six percent of respondents have used PGT, 64% (...) would consider using PGT, and 30% would not use PGT. Of those who would consider using PGT, 74% report they would use it to gain knowledge about disease in their family. 34% of all respondents consider the information obtained from PGT to be a medical diagnosis. 78% of those who would consider PGT would ask their physician for help interpreting test results, and 61% of all respondents believe physicians have a professional obligation to help individuals interpret PGT results. Conclusion: Respondents express interest in using PGT services, primarily for purposes related to their medical care and expect physicians to help interpret PGT results. Physicians should therefore be prepared for patient demands for information and counsel on the basis of PGT results. (shrink)

Social media applications such as Twitter, YouTube and Facebook have attained huge popularity, with more than three billion people and organizations predicted to have a social networking account by 2015. Social media offers a rapid avenue of communication with the public and has potential benefits for communicable disease control and surveillance. However, its application in everyday public health practice raises a number of important issues around confidentiality and autonomy. We report here a case from local level health protection where the (...) friend of an individual with meningococcal septicaemia used a social networking site to notify potential contacts. (shrink)

Social networks play a significant role in learning and thus in farmers’ adoption of new agricultural technologies. This study examined the effects of social network factors on information acquisition and adoption of new seed varieties among groundnut farmers in Uganda and Kenya. The data were generated through face-to-face interviews from a random sample of 461 farmers, 232 in Uganda and 229 in Kenya. To assess these effects two alternative econometric models were used: a seemingly unrelated bivariate probit model and (...) a recursive bivariate probit model. The statistical evaluation of the SUBP shows that information acquisition and adoption decisions are interrelated while tests for the RBP do not support this latter model. Therefore, the analysis is based on the results obtained from the SUBP. These results reveal that social network factors, particularly weak ties with external support, partially influence information acquisition, but do not influence adoption. In Uganda, external support, gender, farm size, and geographic location have an impact on information acquisition. In Kenya, external support and geographic location also have an impact on information acquisition. With regard to adoption, gender, household size, and geographic location play the most important roles for Ugandan farmers, while in Kenya information from external sources, education, and farm size affect adoption choice. The study provides insight on the importance of external weak ties in groundnut farming, and a need to understand regional differences along gender lines while developing agricultural strategies. This study further illustrates the importance of farmer participation in applied technology research and the impact of social interactions among farmers and external agents. (shrink)

This book, the first of two volumes dedicated to ethics in social networking and business, presents the notions, theories and practical aspects related to ethics, morale and deontology in our society. Through a series of discussions and examples on topics ranging from complexity to evolution theories, the author provides an insight into why business ethics is essential for managing risks and uncertainties. The Ethics in Social Networking and Business series is the result of a cross-integration of real experiences (from IBM, (...) society and the Rotary Club), transdisciplinary works in decision making, and advances at the boundaries of several scientific fields. (shrink)

It is widely believed that bringing parties with differing opinions together to discuss their differences will help both in securing consensus and also in ensuring that this consensus closely approximates the truth. This paper investigates this presumption using two mathematical and computer simulation models. Ultimately, these models show that increased contact can be useful in securing both consensus and truth, but it is not always beneficial in this way. This suggests one should not, without qualification, support policies which increase interpersonal (...) contact if one seeks to improve the epistemic performance of groups. (shrink)

The combined tendency for positive self‐presentation and mimicry or social learning results in the capability of a population of simulated individuals to optimize their cognitive structures. A population of parallel constraint satisfaction networks was created, with globally and locally optimal activation patterns. Individuals started with random activations and interacted to find optimal vectors. Two social network topologies were tested, as well as two modes of interaction; results indicated that the ability to optimize activation vectors depends on the social (...) class='Hi'>network configuration and whether individuals are influenced by their best neighbor or are attracted to a neighborhood centroid. Simulated individuals are able to find suitable patterns of belief or attitude with very little internal information processing, using social interaction. (shrink)

PurposeThis paper aims to investigate behavioural changes related to self-censorship (SC) in social networking sites (SNSs) as new methods of online surveillance are introduced. In particular, it examines the relationships between SC and four related factors: privacy concerns (PC), privacy awareness (PA), perceived vulnerability (PV) and information management (IM).Design/methodology/approachA national wide survey was conducted in the UK (N= 519). The data were analysed to present both descriptive and inferential statistical findings.FindingsThe level of online SC increases as the level of privacy (...) concern increases. The level of privacy concern increases as the levels of PA and PV increase and the level of effective IM decreases.Originality/valueThis study extends the literature on online SC, showing that PCs increase the level of SC in SNSs. It provides support for three antecedent factors to PC which impact upon levels of SC when communicating in SNSs. (shrink)

This research explores the marginal stakeholder engagement and propensity to value cocreation in the fast-fashion industry by taking Generation Z consumers (GZCs) as observation unit and social networking sites (SNSs) as context of investigation. By undertaking 24 in-depth interviews with US and Italian GZCs, the study uncovers the main elements that influence their engagement generation on SNSs and highlights that at least four main paradoxes (PXs) exist in this scenario. Specifically, the interviewees reported that they do not trust those brands (...) that make them feel as marginal consumers (PX1) and that they are likely to be extremely loyal to those brands that actively take them into consideration in their activities on SNSs (PX2). In addition, although GZCs concerned about the environment, in most cases, they will buy repeatedly from fast-fashion brands for convenience reasons (PX3). Finally, social dimension of GZCs engagement appears to be influenced by their peers' preferences (PX4). This research is the first that explored GZCs by considering them under the lenses of stakeholder engagement and offering novel insights about common believes on this generation of consumers. Therefore, theoretical and managerial implications are discussed to advance current knowledge on GZCs and to help the development of new strategies to engage them on SNSs. (shrink)

Social embeddedness, defined as the interaction of economic activities and social behavior, is used in this study as a conceptual tool to describe the growing phenomenon of food community networks (FCNs). The aim in this paper was to map the system of relations which the FCNs develop both inside and outside the network and, from the number of relations, it was inferred the influence of each FCN upon the formation of new socially embedded economic realities. A particular form of (...) FCN was taken under consideration: solidarity purchase groups (SPGs). Performed with the aid of social network analysis on a sample of SPGs in Sicily (a region in southern Italy), the study allowed us to identify a relational (internal) social embeddedness, in which groups of consumers and farmers are directly influenced by reciprocal interactions, giving rise to more or less numerous links of reciprocity and trust depending on the number of interactions. It was also identified a structural (external) social embeddedness, generated by the nature of relations that the SPGs undertake with the various social actors. From the results of our analysis it emerges that SPGs lie at the intersection of many social realities, influencing them and in turn being influenced by such realities. We highlight the major role played by consumer and environmental associations in affecting the phenomenon of social embeddedness. (shrink)

Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit communities can maintain high levels of linguistic complexity and variability. However, the role of social network structure in the cultural evolution of languages has never been tested experimentally. Here, we present (...) results from a behavioral group communication study, in which we examined the formation of new languages created in the lab by micro‐societies that varied in their network structure. We contrasted three types of social networks: fully connected, small‐world, and scale‐free. We examined the artificial languages created by these different networks with respect to their linguistic structure, communicative success, stability, and convergence. Results did not reveal any effect of network structure for any measure, with all languages becoming similarly more systematic, more accurate, more stable, and more shared over time. At the same time, small‐world networks showed the greatest variation in their convergence, stabilization, and emerging structure patterns, indicating that network structure can influence the community's susceptibility to random linguistic changes (i.e., drift). (shrink)

Social anxiety is associated with attentional bias and working memory for emotional stimuli; however, the ways in which social anxiety affects cognitive functions involving non-emotional stimuli remains unclear. The present study focused on the role of attentional networks and visuospatial working memory capacity for non-emotional stimuli in the context of social anxiety. One hundred and seventeen undergraduates completed questionnaires on social anxiety. They then performed an attentional network test and a change detection task to measure visuospatial WMC. Orienting (...) class='Hi'>network and visuospatial WMC were positively correlated with social anxiety. A multiple regression analysis showed significant positive associations of alerting, orienting, and visuospatial WMC with social anxiety. Alerting, orienting networks, and high visuospatial WMC for non-emotional stimuli may predict degree of social anxiety. (shrink)

This release includes the data and code used in: Malaterre, C., F. Lareau (2023) Inferring social networks from unstructured text data: A proof of concept detection of “hidden communities of interest”. Text and Data Analytics for Policy.

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper (...) reports on an open-source reimplementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as evidence of interdisciplinary diversity in an academic communications network. (shrink)

When making decisions, humans can observe many kinds of information about others' activities, but their effects on performance are not well understood. We investigated social learning strategies using a simple problem-solving task in which participants search a complex space, and each can view and imitate others' solutions. Results showed that participants combined multiple sources of information to guide learning, including payoffs of peers' solutions, popularity of solution elements among peers, similarity of peers' solutions to their own, and relative payoffs from (...) individual exploration. Furthermore, performance was positively associated with imitation rates at both the individual and group levels. When peers' payoffs were hidden, popularity and similarity biases reversed, participants searched more broadly and randomly, and both quality and equity of exploration suffered. We conclude that when peers' solutions can be effectively compared, imitation does not simply permit scrounging, but it can also facilitate propagation of good solutions for further cumulative exploration. (shrink)

Social Networking Sites (SNS), particularly Facebook (FB) have become extremely popular among digital natives, especially university-level students. Moreover, they sometimes may see social networks as an extension of their lives (boyd, 2014) which can be called as a new communication platform for interpersonal communication. For the purpose of the study, interpersonal communication skills (ICS) levels explored in four sub-sections both in the social and e-social environments.1 Digital natives’ IPC skills were measured to figure out whether there is any statistically difference (...) between both environments. Interpersonal Communication Skills Inventory (Social Learning, 2002) is used as an instrument for the present study. (shrink)

Social Networking Sites (SNS), particularly Facebook (FB) have become extremely popular among digital natives, especially university-level students. Moreover, they sometimes may see social networks as an extension of their lives (boyd, 2014) which can be called as a new communication platform for interpersonal communication. For the purpose of the study, interpersonal communication skills (ICS) levels explored in four sub-sections both in the social and e-social environments.1 Digital natives’ IPC skills were measured to figure out whether there is any statistically difference (...) between both environments. Interpersonal Communication Skills Inventory (Social Learning, 2002) is used as an instrument for the present study. (shrink)

As a criterion of a good firm, a lucrative and growing business has been said to be important. Recently, however, high profitability and high growth potential are insufficient for the criteria, because social influences exerted by recent firms have been extremely significant. In this paper, high social relationship is added to the list of the criteria. Empirical corporate social performance versus corporate financial performance (CSP–CFP) relationship studies that consider social relationship are very limited in Japan, and there are no definite (...) conclusions for the studies in the world, because of scant data and the inappropriate methods, especially for supporting linear hypothesis which these studies are based on. In this paper, the CSP–CFP relationship is analyzed by an artificial neural networks model, which can deal with a non-linear relationship, using 10-year follow-up survey data. (shrink)

Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face — judgments that can have important societal and personal consequences. In recent years, deep convolutional neural networks (DCNNs) have proven adept at representing the identity of a face from images that vary widely in viewpoint, illumination, expression, and appearance. These algorithms are modeled on the primate visual cortex and consist of multiple processing layers of simulated (...) neurons. Here, we examined whether a DCNN trained for face identification also retains a representation of the information in faces that supports social‐trait inferences. Participants rated male and female faces on a diverse set of 18 personality traits. Linear classifiers were trained with cross validation to predict human‐assigned trait ratings from the 512 dimensional representations of faces that emerged at the top‐layer of a DCNN trained for face identification. The network was trained with 494,414 images of 10,575 identities and consisted of seven layers and 19.8 million parameters. The top‐level DCNN features produced by the network predicted the human‐assigned social trait profiles with good accuracy. Human‐assigned ratings for the individual traits were also predicted accurately. We conclude that the face representations that emerge from DCNNs retain facial information that goes beyond the strict limits of their training. (shrink)

Most of human-robot interaction (HRI) research relies on an implicit assumption that seems to drive experimental work in interaction studies: the more anthropomorphism we can reach in robots, the more effective the robot will be in 'being social.' The notion of 'sociomorphing' was developed in order to challenge the assumption of ubiquitous anthropomorphizing. This paper aims to explore the notion of sociomorphing by analysing the possibilities offered by actor-network theory (ANT). We claim that ANT is a valid framework to (...) re-think the conceptual couple anthropomorphizing / sociomorphing and answer the following question: What kind of negotiation process and social practices can be developed in HRI, given the notion of sociomorph interactional networks? (shrink)

This article offers a critical discussion in the form of debate among experts in the fields of networks, human behaviour, and social analysis about key issues that arguably affect the human nature and society in the digital age. Based on the responses of Nicholas Christakis to an interview given to the authors, some key questions, applications, and limitations regarding the research on digital networks are discussed, together with hot issues related to the nature of digital data and experimentation in contemporary (...) social science. Finally, current and future prospects are presented in relation to data science and society in the light of the Fourth Industrial Revolution. (shrink)

The social organization of the Chinese diaspora in Malaysia has emerged as a very diversified phenomenon so that it is hard to speak of a coherent social and cultural community. Starting from the case of George Town (Penang), a port city once part of the British Empire and subsequently incorporated in present-day Malaysia, the article will illustrate the various forms of social organization developed by the Chinese in the longue durée. The analysis of the Chinese diaspora in George Town (Penang) (...) based on long-term fieldwork helps to draw attention especially to its internal tensions, rivalries and even open and at times enduring conflicts. Through the notions of network and corporate group, distinctive of the Manchester school, by means of a dynamic analysis, thus mindful of specific historical processes, this article will examine the underlying modalities of organizational changes that occurred in this diasporic society within the colonial and national societies. Thus, the article avoids an essentialist vision based on a uniformity and cultural unity of these immigrant communities. (shrink)

What critical characteristics do firms have that determine the scale and scope of corporate social responsibility activities they undertake? This paper examines two disparate predictors of corporate social performance. First, using the lens of the resource-based view, we examine the role of alliance network centrality on corporate social performance. We find that centrality enhances corporate social performance. Second, we investigate how board composition affects corporate social performance. Specifically, drawing on stakeholder theory, we find that the percentage of female directors (...) predicts greater corporate social performance. In addition, we look at the influence of outside directors on this relationship. Our findings show that the presence of more outside directors positively moderates the relationship between female directors and corporate social performance. (shrink)

With complex buyer-driven global production networks and a labour-intensive manufacturing process, the fashion industry has become a focal point for debates on the social responsibility of business. Utilising an interview methodology with influential actors from seven export garment manufacturers in Sri Lanka, we explore the situated knowledge at one nodal point of the production network. We conceptualise factory management perspectives on the implementation of corporate social responsibility in terms of the strategic balancing of ethical considerations against the commercial pressures (...) of cost and lead time. Factory managers framed CSR in terms of compliance, rather than going above and beyond regulatory requirements; seeing it as a strategic competitive imperative and less a developmental mechanism. Sri Lankan manufacturers maintain that they have benefitted from a unique combination of factors, including strict national labour laws, an educated workforce, the characteristics of the garments produced, industrial upgrading, and long-term non-adversarial buyer–supplier relationships, which they argue has supported the establishment and maintenance of CSR practices. The paper thus provides managerial implications that relate CSR activities to CSR outcomes which include both reputational and production benefits. Such insights will be of strategic relevance for lead retail buyers as well as apparel producers keen to invest in CSR to partly mitigate against increasing price-based competition. (shrink)