Search results for 'Social networks' (try it on Scholar)

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  1. Hanna Krasnova, Oliver Günther, Sarah Spiekermann & Ksenia Koroleva (2009). Privacy Concerns and Identity in Online Social Networks. Identity in the Information Society 2 (1):39-63.score: 180.0
    Driven by privacy-related fears, users of Online Social Networks may start to reduce their network activities. This trend can have a negative impact on network sustainability and its business value. Nevertheless, very little is understood about the privacy-related concerns of users and the impact of those concerns on identity performance. To close this gap, we take a systematic view of user privacy concerns on such platforms. Based on insights from focus groups and an empirical study with 210 subjects, (...)
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  2. Stephen Chen (2009). Corporate Responsibilities in Internet-Enabled Social Networks. Journal of Business Ethics 90 (4):523 - 536.score: 180.0
    As demonstrated by the popularity of social networking sites such as Facebook and Twitter, Internet-based social networks have become an important part of daily life, and many businesses are now involved in such networks either as service providers or as participants. Furthermore, inter-organizational networks are becoming an increasingly common feature of many industries, not only on the Internet. However, despite the growing importance of networks for businesses, there is little theoretical study on the (...) responsibilities of businesses in such networks, and how these responsibilities are affected by different types of networks. This article explores how social network analysis, which has been developed from studies of social networks of individuals, can be used to shed light on corporate responsibilities in social networks. (shrink)
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  3. Sonja Grabner-Kräuter (2009). Web 2.0 Social Networks: The Role of Trust. [REVIEW] Journal of Business Ethics 90 (4):505 - 522.score: 180.0
    Online social networks (OSNs) have gained enormous popularity in recent years. Hundreds of millions of social network users reveal great amounts of personal information in the Web 2.0 environment that is largely devoid of security standards and practices. The central question in this article is why so many social network users are being so trusting. The focus is on theory-building on trust as a critical issue in OSNs. A theoretical framework is developed, which facilitates a multi-level (...)
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  4. Kristen C. Nelson, Rachel F. Brummel, Nicholas Jordan & Steven Manson (2013). Social Networks in Complex Human and Natural Systems: The Case of Rotational Grazing, Weak Ties, and Eastern US Dairy Landscapes. [REVIEW] Agriculture and Human Values 31 (2):1-15.score: 180.0
    Multifunctional agricultural systems seek to expand upon production-based benefits to enhance family wellbeing and animal health, reduce inputs, and improve environmental services such as biodiversity and water quality. However, in many countries a landscape-level conversion is uneven at best and stalled at worst. This is particularly true across the eastern rural landscape in the United States. We explore the role of social networks as drivers of system transformation within dairy production in the eastern United States, specifically rotational grazing (...)
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  5. Brendan Van Alsenoy, Joris Ballet, Aleksandra Kuczerawy & Jos Dumortier (2009). Social Networks and Web 2.0: Are Users Also Bound by Data Protection Regulations? [REVIEW] Identity in the Information Society 2 (1):65-79.score: 164.0
    Directive 95/46/EC and implementing legislation define the respective obligations and liabilities of the different actors that may be involved in a personal data processing operation. There are certain exceptions to the scope of these regulations, among which processing which is carried out by natural persons in the course of activities that may be considered ‘purely personal’. The purpose of this article is to investigate the liability of users of social network sites under data protection and to assess the extent (...)
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  6. Terry Beckman, Alison Colwell & Peggy H. Cunningham (2009). The Emergence of Corporate Social Responsibility in Chile: The Importance of Authenticity and Social Networks. [REVIEW] Journal of Business Ethics 86 (2):191 - 206.score: 162.0
    Little is known about how and why corporate social responsibility (CSR) emerged in lesser developed countries. In order to address this knowledge gap, we used Chile as a test case and conducted a series of in-depth interviews with leaders of CSR initiatives. We also did an Internet and literature search to help provide support for the findings that emerged from our data. We discovered that while there are similarities in the drivers of CSR in developed countries, there are distinct (...)
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  7. Tommaso Bertolotti & Lorenzo Magnani (2013). A Philosophical and Evolutionary Approach to Cyber-Bullying: Social Networks and the Disruption of Sub-Moralities. Ethics and Information Technology 15 (4):285-299.score: 150.0
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  8. Marko Puljic & Robert Kozma (2005). Activation Clustering in Neural and Social Networks. Complexity 10 (4):42-50.score: 150.0
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  9. John Skvoretz (2002). Complexity Theory and Models for Social Networks. Complexity 8 (1):47-55.score: 150.0
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  10. Allison K. Shaw, Milena Tsvetkova & Roozbeh Daneshvar (2011). The Effect of Gossip on Social Networks. Complexity 16 (4):39-47.score: 150.0
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  11. Robert Strathdee (2008). Tertiary Education in the 21st Century: Economic Change and Social Networks. Palgrave Macmillan.score: 150.0
  12. Yuval Elovici, Michael Fire, Amir Herzberg & Haya Shulman (2013). Ethical Considerations When Employing Fake Identities in Online Social Networks for Research. Science and Engineering Ethics:1-17.score: 148.0
    Online social networks (OSNs) have rapidly become a prominent and widely used service, offering a wealth of personal and sensitive information with significant security and privacy implications. Hence, OSNs are also an important—and popular—subject for research. To perform research based on real-life evidence, however, researchers may need to access OSN data, such as texts and files uploaded by users and connections among users. This raises significant ethical problems. Currently, there are no clear ethical guidelines, and researchers may end (...)
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  13. Lan Anh Hoang, Jean-Christophe Castella & Paul Novosad (2006). Social Networks and Information Access: Implications for Agricultural Extension in a Rice Farming Community in Northern Vietnam. [REVIEW] Agriculture and Human Values 23 (4):513-527.score: 148.0
    Village communities are not homogeneous entities but a combination of complex networks of social relationships. Many factors such as ethnicity, gender, socio-economic status, and power relations determine one’s access to information and resources. Development workers’ inadequate understanding of local social networks, norms, and power relations may further the interests of better-off farmers and marginalize the poor. This paper explores how social networks function as assets for individuals and households in the rural areas of developing (...)
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  14. Giuseppina Migliore, Giorgio Schifani, Giovanni Dara Guccione & Luigi Cembalo (2013). Food Community Networks as Leverage for Social Embeddedness. Journal of Agricultural and Environmental Ethics:1-19.score: 146.0
    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 (...)
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  15. Daisuke Okamoto (2009). Social Relationship of a Firm and the Csp–Cfp Relationship in Japan: Using Artificial Neural Networks. [REVIEW] Journal of Business Ethics 87 (1):117 - 132.score: 144.0
    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 (...)
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  16. Sarah Jastram (2010). Transnational Norm-Building Networks and the Legitimacy of Corporate Social Responsibility Standards. Journal of Business Ethics 97 (2):223 - 239.score: 144.0
    In the following article, we propose an analytical framework for the analysis of Corporate Social Responsibility (CSR) Standards based on the paradigmatic nexus of voice and entitlement. We follow the theory of decentration and present the concept of Transnational Norm-Building Networks (TNNs), which — as we argue — comprise a new nexus of voice and entitlement beyond the nation—state level. Furthermore, we apply the analytical framework to the ISO 26000 initiative and the Global Compact. We conclude the article (...)
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  17. Shaheena Janjuha-Jivraj (2003). The Sustainability of Social Capital Within Ethnic Networks. Journal of Business Ethics 47 (1):31 - 43.score: 144.0
    This paper examines informal networks that support the British Asian business community. Ethnic communities have been crucial to facilitating the economic development of their migrant members, as they make the transition from economic refugees to citizens. The basis of this informal support is the notion of social capital offered to kinsmen who arrived with finite resources. However, as successive generations have become more integrated with the wider community reliance on these resources is forecast to decrease. Research has shown (...)
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  18. Carla C. J. M. Millar & Chong Ju Choi (2009). Networks, Social Norms and Knowledge Sub-Networks. Journal of Business Ethics 90 (4):565 - 574.score: 144.0
    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 (...)
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  19. Holger Ebel, Jörn Davidsen & Stefan Bornholdt (2002). Dynamics of Social Networks. Complexity 8 (2):24-27.score: 138.0
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  20. Erik J. Olsson & Aron Vallinder (2013). Norms of Assertion and Communication in Social Networks. Synthese 190 (13):2557-2571.score: 132.0
    Epistemologists can be divided into two camps: those who think that nothing short of certainty or (subjective) probability 1 can warrant assertion and those who disagree with this claim. This paper addressed this issue by inquiring into the problem of setting the probability threshold required for assertion in such a way that that the social epistemic good is maximized, where the latter is taken to be the veritistic value in the sense of Goldman (Knowledge in a social world, (...)
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  21. Martin Pekárek & Stefanie Pötzsch (2009). A Comparison of Privacy Issues in Collaborative Workspaces and Social Networks. Identity in the Information Society 2 (1):81-93.score: 132.0
    With the advent of Web 2.0, numerous social software applications allow people to publish and share information on the Internet. Two of these types of applications – collaborative workspaces and social network sites – have a number of features in common, which are explored to provide a basis for comparative analysis. This basis is extended with a suitable definition of privacy, a sociological perspective and an applicable adversary model in order to facilitate an investigation of similarities and differences (...)
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  22. R. I. M. Dunbar & M. Spoors (1995). Social Networks, Support Cliques, and Kinship. Human Nature 6 (3):273-290.score: 126.0
    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. (...)
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  23. Dawn Jutla (2010). Layering Privacy on Operating Systems, Social Networks, and Other Platforms by Design. Identity in the Information Society 3 (2):319-341.score: 124.0
    Pervasive, easy-to-use privacy services are keys to enabling users to maintain control of their private data in the online environment. This paper proposes (1) an online privacy lifecycle from the user perspective that drives and categorizes the development of these services, (2) a layered platform design solution for online privacy, (3) the evolution of the PeCAN (Personal Context Agent Networking) architecture to a platform for pervasively providing multiple contexts for user privacy preferences and online informational privacy services, and (4) use (...)
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  24. Norah Mulvaney-Day & Catherine A. Womack (2009). Obesity, Identity and Community: Leveraging Social Networks for Behavior Change in Public Health. Public Health Ethics 2 (3):250-260.score: 120.0
    Obesity is a public health problem influenced by behavioral patterns that span an ecological spectrum of individual-level factors, social network factors and environmental factors. Both individual and environmental approaches necessarily include significant influences from social networks, but how and under what conditions social networks influence behavior change is often not clearly mapped out either in the obesity literature or in many intervention designs. In this paper, we provide an analysis of recent empirical work in obesity (...)
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  25. Jan A. Fuhse (2009). The Meaning Structure of Social Networks. Sociological Theory 27 (1):51 - 73.score: 120.0
    This essay proposes to view networks as sociocultural structures. Following authors from Leopold von Wiese and Norbert Elias to Gary Alan Fine and Harrison White, networks are configurations of social relationships interwoven with meaning. Social relationships as the basic building blocks of networks are conceived of as dynamic structures of reciprocal (but not necessarily symmetric) expectations between alter and ego. Through their transactions, alter and ego construct an idiosyncratic "relationship culture" comprising symbols, narratives, and relational (...)
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  26. Matthew D. Lieberman Meghan L. Meyer (2012). Social Working Memory: Neurocognitive Networks and Directions for Future Research. Frontiers in Psychology 3.score: 120.0
    Navigating the social world requires the ability to maintain and manipulate information about people’s beliefs, traits, and mental states. We characterize this capacity as social working memory. To date, very little research has explored this phenomenon, in part because of the assumption that general working memory systems would support working memory for social information. Various lines of research, however, suggest that social cognitive processing relies on a neurocognitive network (i.e., the ‘mentalizing network’) that is functionally distinct (...)
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  27. Christina Stoica‐Klüver & Jürgen Klüver (2007). Interacting Neural Networks and the Emergence of Social Structure. Complexity 12 (3):41-52.score: 120.0
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  28. Haifeng Du, Marcus W. Feldman, Shuzhuo Li & Xiaoyi Jin (2007). An Algorithm for Detecting Community Structure of Social Networks Based on Prior Knowledge and Modularity. Complexity 12 (3):53-60.score: 118.0
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  29. R. A. Hill & R. I. M. Dunbar (2003). Social Network Size in Humans. Human Nature 14 (1):53-72.score: 116.0
    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 (...)
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  30. Mikael Rostila (2011). The Facets of Social Capital. Journal for the Theory of Social Behaviour 41 (3):308-326.score: 114.0
    The emergence of the two facets of social capital, the individual and the collective, has contributed to much of the confusion in the field of social capital. The overall objective of this article is to elaborate on a theoretical model aiming at clarifying some bridges between the facets and dimensions of social capital previously suggested in the literature. Initially, the article shortly presents and discusses some important definitions of social capital. Furthermore, limitations and shortcomings of previous (...)
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  31. Richard Heidler (2011). Cognitive and Social Structure of the Elite Collaboration Network of Astrophysics: A Case Study on Shifting Network Structures. [REVIEW] Minerva 49 (4):461-488.score: 114.0
    Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods approach is necessary. It combines scientometrics, quantitative network analysis and visualization tools with a qualitative network analysis approach. The centre of the international collaboration network of astrophysics is demarcated by identifying (...)
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  32. Mohamed Abdou & Nigel Gilbert (2009). Modelling the Emergence and Dynamics of Social and Workplace Segregation. Mind and Society 8 (2):173-191.score: 108.0
    The relationship between social segregation and workplace segregation has been traditionally studied as a one-way causal relationship mediated by referral hiring. In this paper we introduce an alternative framework which describes the dynamic relationships between social segregation, workplace segregation, individuals’ homophily levels, and referral hiring. An agent-based simulation model was developed based on this framework. The model describes the process of continuous change in composition of workplaces and social networks of agents, and how this process affects (...)
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  33. Patrick S. R. Davidson, Héloïse Drouin, Donna Kwan, Morris Moscovitch & R. Shayna Rosenbaum (2012). Memory as Social Glue: Close Interpersonal Relationships in Amnesic Patients. Frontiers in Psychology 3.score: 108.0
    Memory may be crucial for establishing and/or maintaining social bonds. Using the National Social life, Health, and Aging Project questionnaire, we examined close interpersonal relationships in three amnesic people: K.C. and D.A. (who are adult-onset cases) and H.C. (who has developmental amnesia). All three patients were less involved than demographically-matched controls with neighbors and religious and community groups. A higher-than-normal percentage of the adult-onset (K.C. and D.A.) cases’ close relationships were with family members, and they had made few (...)
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  34. Nicoline de Haan (2001). Of Goats and Groups: A Study on Social Capital in Development Projects. [REVIEW] Agriculture and Human Values 18 (1):71-84.score: 108.0
    More and more development projects are using group or community approaches to disseminate technology and resources. It is believed that using such an approach will provide a safety net as well as social control to ensure the sustainability of the technology and resource. However, little is known of the exact process and social networks that are mobilized and used in using such an approach. Particular attention is devoted in the paper to gender differences and the concept of (...)
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  35. Jeanne M. Logsdon & Karen D. W. Patterson (2009). Deception in Business Networks: Is It Easier to Lie Online? [REVIEW] Journal of Business Ethics 90 (4):537 - 549.score: 104.0
    This article synthesizes research presented in several models of unethical behavior to develop propositions about the factors that facilitate and mitigate deception in online business communications. The work expands the social network perspective to incorporate the medium of communication as a significant influence on deception. We go beyond existing models by developing seven propositions that identify how social network and issue moral intensity characteristics influence the probability of deception in online business communication in comparison to traditional communication channels. (...)
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  36. J. Littmann & A. Kessel (2014). Accounting for the Costs of Contact Tracing Through Social Networks. Public Health Ethics 7 (1):51-53.score: 104.0
    This article critically engages with Mandeville et al.'s case discussion of using social networking services for the purposes of contact tracing in infectious disease outbreaks. It will be argued that their discussion may be overstating the utility of such approaches, while simultaneously underestimating the ethical concerns that arise from this method of contact tracing. The article separates between ethical and technological concerns and suggests that due to the particular design of networking sites such as Facebook and the usage patterns (...)
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  37. David Rooney, Tom Mandeville & Tim Kastelle (2013). Abstract Knowledge and Reified Financial Innovation: Building Wisdom and Ethics Into Financial Innovation Networks. Journal of Business Ethics 118 (3):447-459.score: 104.0
    This article argues that abstract knowledge in the form of formally developed theory plays an increasingly important role in the economy and in financial innovation in particular.knowledge is easily reified, and this is an aspect of knowledge work that is insufficiently researched. In this article, we problematize reification of abstract knowledge in financial innovation from wisdom, ethics, and social network analysis perspectives. This article, therefore, considers the composition and structures of financial innovation networks that help avoid reification by (...)
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  38. David J. Spielman, Kristin Davis, Martha Negash & Gezahegn Ayele (2011). Rural Innovation Systems and Networks: Findings From a Study of Ethiopian Smallholders. [REVIEW] Agriculture and Human Values 28 (2):195-212.score: 104.0
    Ethiopian agriculture is changing as new actors, relationships, and policies influence the ways in which small-scale, resource-poor farmers access and use information and knowledge in their agricultural production decisions. Although these changes suggest new opportunities for smallholders, too little is known about how changes will ultimately improve the wellbeing of smallholders in Ethiopia. Thus, we examine whether these changes are improving the ability of smallholders to innovate and thus improve their own welfare. In doing so, we analyze interactions between smallholders (...)
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  39. Peter Csermely (2009). Weak Links: The Universal Key to the Stability of Networks and Complex Systems. Springer.score: 102.0
    A principle is born: the Granovetter study -- Why do we like networks? -- Network stability -- Weak links as stabilizers of complex systems -- Atoms, molecules, and macromolecules -- Weak links and cellular stability -- Weak links and the stability of organisms -- Social nets -- Networks of human culture -- The global web -- The Ecoweb -- Conclusions and perspectives.
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  40. Ruth Meyer & Bruce Edmonds, Signatures in Networks Generated From Agent-Based Social Simulation Models.score: 102.0
    Finding suitable analysis techniques for networks generated from social processes is a difficult task when the population changes over time. Traditional social network analysis measures may not work in such circumstances. It is argued that agent-based social networks should not be constrained by a priori assumptions about the evolved network and/or the analysis techniques. In most agent-based social simulation models, the number of agents remains fixed throughout the simulation; this paper considers the case when (...)
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  41. Hubert Buch‐Hansen (2013). Social Network Analysis and Critical Realism. Journal for the Theory of Social Behaviour 44 (2).score: 102.0
    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 (...)
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  42. R. J. Holton (2008). Global Networks. Palgrave Macmillan.score: 102.0
    Global network research is an exciting new area of social analysis. This book is the first to provide a thorough investigation of global network links across time and space. Robert Holton demonstrates the way in which technological and interpersonal networks organise global society, providing vivid examples from the present and the past. This text gives practical advice on how to research global networks, and brings together leading theory and new evidence on the subject for all students learning (...)
     
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  43. James Kennedy (2009). Social Optimization in the Presence of Cognitive Local Optima: Effects of Social Network Topology and Interaction Mode. Topics in Cognitive Science 1 (3):498-522.score: 102.0
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  44. Vanesse Labeyrie, Bernard Rono & Christian Leclerc (2013). How Social Organization Shapes Crop Diversity: An Ecological Anthropology Approach Among Tharaka Farmers of Mount Kenya. [REVIEW] Agriculture and Human Values:1-11.score: 102.0
    The conservation of in situ crop diversity is a key issue to ensure food security. Understanding the processes that shape it is crucial for efficiently managing such diversity. In most rural societies, crop diversity patterns are affected by farmers’ practices of seed exchange, transmission, and selection, but the role of social organization in shaping those practices has been overlooked. This study proposes an ecological anthropology approach to investigate the relation between crop diversity patterns and the social organization of (...)
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  45. Aron Vallinder & Erik J. Olsson (2014). Trust and the Value of Overconfidence: A Bayesian Perspective on Social Network Communication. Synthese 191 (9):1991-2007.score: 100.0
    The paper presents and defends a Bayesian theory of trust in social networks. In the first part of the paper, we provide justifications for the basic assumptions behind the model, and we give reasons for thinking that the model has plausible consequences for certain kinds of communication. In the second part of the paper we investigate the phenomenon of overconfidence. Many psychological studies have found that people think they are more reliable than they actually are. Using a simulation (...)
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  46. Kai A. Schafft & David L. Brown (2003). Social Capital, Social Networks, and Social Power. Social Epistemology 17 (4):329 – 342.score: 96.0
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  47. Michael Harre (2013). The Neural Circuitry of Expertise: Perceptual Learning and Social Cognition. Frontiers in Human Neuroscience 7:852.score: 96.0
    Amongst the most significant questions we are confronted with today include the integration of the brain's micro-circuitry, our ability to build the complex social networks that underpin society and how our society impacts on our ecological environment. In trying to unravel these issues one place to begin is at the level of the individual: to consider how we accumulate information about our environment, how this information leads to decisions and how our individual decisions in turn create our (...) environment. While this is an enormous task, we may already have at hand many of the tools we need. This article is intended to review some of the recent results in neuro-cognitive research and show how they can be extended to two very specific types of expertise: perceptual expertise and social cognition. These two cognitive skills span a vast range of our genetic heritage. Perceptual expertise developed very early in our evolutionary history and is likely a highly developed part of all mammals' cognitive ability. On the other hand social cognition is most highly developed in humans in that we are able to maintain larger and more stable long term social connections with more behaviourally diverse individuals than any other species. To illustrate these ideas I will discuss board games as a toy model of social interactions as they include many of the relevant concepts: perceptual learning, decision-making, long term planning and understanding the mental states of other people. Using techniques that have been developed in mathematical psychology, I show that we can represent some of the key features of expertise using stochastic differential equations. Such models demonstrate how an expert's long exposure to a particular context influences the information they accumulate in order to make a decision.These processes are not confined to board games, we are all experts in our daily lives through long exposure to the many regularities of daily tasks and social contexts. (shrink)
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  48. Domènec Melé (2009). The Practice of Networking: An Ethical Approach. [REVIEW] Journal of Business Ethics 90 (4):487 - 503.score: 96.0
    Focusing on the virtue-ethics tradition, this article analyzes the practice of networking within the business context. First, it distinguishes three types of networking: utilitarian, emotional, and virtuous. Virtuous networking does not exclude utilitarian and emotional networking, but these latter forms should be practiced with reciprocity. It is argued that virtuous networking requires (1) acting with good faith, sharing honest goals, and participating in licit activities; (2) sharing information, knowledge, and resources with reciprocity and even with gratuity; (3) serving with justice (...)
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  49. Frank G. A. Bakker & Iina Hellsten (2013). Capturing Online Presence: Hyperlinks and Semantic Networks in Activist Group Websites on Corporate Social Responsibility. Journal of Business Ethics 118 (4):807-823.score: 96.0
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  50. Seung Hwan Mark Lee (2013). Ethics and Expertise: A Social Networks Perspective. Journal of Business Ethics 118 (3):607-621.score: 96.0
    Results from three field network studies show that depending on individuals’ network positions (central or peripheral), experts and novices have varying ethical predispositions (EP). In particular, central experts (vs. peripheral experts) have higher EP, while novices in the same positions (vs. peripheral novices) have lower EP. Results demonstrate individuals’ relational-interdependent self-construal mediates these relationships. Importantly, this research suggests that the interaction between network and individual difference variables uniquely affect individuals’ ethical predisposition. Given the lack of research focus on the impact (...)
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