Search results for 'Network' (try it on Scholar)

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  1. Stephen Bush, Frost F., S. Victor, Joseph Evans & B. (1999). Network Management of Predictive Mobile Networks. Journal of Network and Systems Management 7 (2).
    There is a trend toward the use of predictive systems in communications networks. At the systems and network management level predictive capabilities are focused on anticipating network faults and performance degradation. Simultaneously, mobile communication networks are being developed with predictive location and tracking mechanisms. The interactions and synergies between these systems present a new set of problems. A new predictive network management framework is developed and examined. The interaction between a predictive mobile network and the proposed (...)
     
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  2. Pengmin Qin, Georg Northoff, Timothy Lane & et al (2016). Spontaneous Activity in Default-Mode Network Predicts Ascriptions of Self-Relatedness to Stimuli. Social Cognitive and Affective Neuroscience:xx-yy.
    Spontaneous activity levels prior to stimulus presentation can determine how that stimulus will be perceived. It has also been proposed that such spontaneous activity, particularly in the default-mode network (DMN), is involved in self-related processing. We therefore hypothesised that pre-stimulus activity levels in the DMN predict whether a stimulus is judged as self-related or not. Method: Participants were presented in the MRI scanner with a white noise stimulus that they were instructed contained their name or another. They then had (...)
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  3.  8
    Clodia Vurro, Angeloantonio Russo & Francesco Perrini (2009). Shaping Sustainable Value Chains: Network Determinants of Supply Chain Governance Models. [REVIEW] Journal of Business Ethics 90 (4):607 - 621.
    Although the characteristics and advantages of interorganizational governance models based on extensive collaboration are well established in the literature, inquiry has only recently extended to sustainable supply chain management, highlighting the potential benefits of combining the integration of social and environmental issues concerning the supply chain with governance models based on joint decision making and extensive cooperation. Yet, firms still differ in both the pervasiveness of such collaborative approaches along the value chain and the extent to which sustainability issues are (...)
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  4.  62
    Bruno Latour (2005). Reassembling the Social: An Introduction to Actor-Network-Theory. OUP Oxford.
    Latour is a world famous and widely published French sociologist who has written with great eloquence and perception about the relationship between people, science, and technology. He is also closely associated with the school of thought known as Actor Network Theory. In this book he sets out for the first time in one place his own ideas about Actor Network Theory and its relevance to management and organization theory.
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  5.  86
    Luciano Floridi (2012). Semantic Information and the Network Theory of Account. Synthese 184 (3):431-454.
    The article addresses the problem of how semantic information can be upgraded to knowledge. The introductory section explains the technical terminology and the relevant background. Section 2 argues that, for semantic information to be upgraded to knowledge, it is necessary and sufficient to be embedded in a network of questions and answers that correctly accounts for it. Section 3 shows that an information flow network of type A fulfils such a requirement, by warranting that the erotetic deficit, characterising (...)
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  6.  31
    Ibo van de Poel (2008). How Should We Do Nanoethics? A Network Approach for Discerning Ethical Issues in Nanotechnology. NanoEthics 2 (1):25-38.
    There is no agreement on how nanoethics should proceed. In this article I focus on approaches for discerning ethical issues in nanotechnology, which is as of yet one of the most difficult and urging tasks for nanoethics. I discuss and criticize two existing approaches for discerning ethical issues in nanotechnology and propose a network approach as alternative. I discuss debates in nanoethics about the desirable role of ethics in nanotechnological development and about the newness of ethical issues in nanotechnology. (...)
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  7.  5
    Itziar Castelló, Mette Morsing & Friederike Schultz (2013). Communicative Dynamics and the Polyphony of Corporate Social Responsibility in the Network Society. Journal of Business Ethics 118 (4):683-694.
    This paper develops a media theoretical extension of the communicative view on corporate social responsibility by elaborating on the characteristics of network societies, arguing that new media increase the speed and connectivity, and lead to higher plurality and the potential polarization of reality constructions. We discuss the implications for corporate social responsibility of becoming more polyphonic and sketch the contours of “communicative legitimacy.” Finally, we present this special issue and develop some questions for future research.
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  8.  4
    Michael Pirson & Shann Turnbull (2011). Toward a More Humanistic Governance Model: Network Governance Structures. [REVIEW] Journal of Business Ethics 99 (1):101 - 114.
    This conceptual article suggests a reexamination of current governance structures, specifically those of unitary boards after the financial crisis of 2008.We suggest that the existing governance structures are based on an outdated paradigm of business, rooted in economics. We propose an alternative paradigm, a more humanistic paradigm, which allows conceiving alternative, network-oriented governance structures. As hierarchical firms grow larger and more complex, the risk of failure increases from biases, errors, and missing data in communication and control systems. These problems (...)
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  9.  28
    Sjoerd D. Zwart, Ibo van de Poel, Harald van Mil & Michiel Brumsen (2006). A Network Approach for Distinguishing Ethical Issues in Research and Development. Science and Engineering Ethics 12 (4):663-684.
    In this paper we report on our experiences with using network analysis to discern and analyse ethical issues in research into, and the development of, a new wastewater treatment technology. Using network analysis, we preliminarily interpreted some of our observations in a Group Decision Room session where we invited important stakeholders to think about the risks of this new technology. We show how a network approach is useful for understanding the observations, and suggests some relevant ethical issues. (...)
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  10.  99
    Charles Rathkopf (2015). Network Representation and Complex Systems. Synthese:1-24.
    In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful (...)
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  11.  1
    Antonino Vaccaro, Adele Santana & Donna J. Wood (2009). Introduction to the Special Issue on the Impact of Network Ethics on Business Practices. Journal of Business Ethics 90 (4):441 - 446.
    This special issue on network ethics offers 15 scholarly articles from a variety of disciplines and fields of study, all aimed at exploring some important aspect of how networks develop, enact, and enforce ethical norms. The articles are ordered according to the levels of analysis each deals with, ranging from the cognitive/intra-personal to the systemic/societal. Taken together, these articles provide a fresh look at how networks are changing the way business is done and the way we think about ethics.
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  12.  60
    Michel Grabisch & Agnieszka Rusinowska (2010). A Model of Influence in a Social Network. Theory and Decision 69 (1):69-96.
    In the paper, we study a model of influence in a social network. It is assumed that each player has an inclination to say YES or NO which, due to influence of other players, may be different from the decision of the player. The point of departure here is the concept of the Hoede-Bakker index - the notion which computes the overall decisional 'power' of a player in a social network. The main drawback of the Hoede-Bakker index is (...)
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  13.  1
    Romain Boulet, Pierre Mazzega & Danièle Bourcier (2011). A Network Approach to the French System of Legal Codes—Part I: Analysis of a Dense Network. [REVIEW] Artificial Intelligence and Law 19 (4):333-355.
    We explore one aspect of the structure of a codified legal system at the national level using a new type of representation to understand the strong or weak dependencies between the various fields of law. In Part I of this study, we analyze the graph associated with the network in which each French legal code is a vertex and an edge is produced between two vertices when a code cites another code at least one time. We show that this (...)
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  14.  13
    Hans Henseler (2010). Network-Based Filtering for Large Email Collections in E-Discovery. Artificial Intelligence and Law 18 (4):413-430.
    The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive techniques have been introduced to increase reviewer productivity. In contrast, the techniques presented in this article propose an alternative method that tries to reduce information during culling so that less information needs to be reviewed. The proposed method first focuses on mapping the email collection universe using straightforward statistical methods based on keyword filtering combined with (...)
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  15.  13
    Dorcas M. Kamuya, Vicki Marsh, Francis K. Kombe, P. Wenzel Geissler & Sassy C. Molyneux (2013). Engaging Communities to Strengthen Research Ethics in Low‐Income Settings: Selection and Perceptions of Members of a Network of Representatives in Coastal Kenya. Developing World Bioethics 13 (1):10-20.
    There is wide agreement that community engagement is important for many research types and settings, often including interaction with ‘representatives’ of communities. There is relatively little published experience of community engagement in international research settings, with available information focusing on Community Advisory Boards or Groups (CAB/CAGs), or variants of these, where CAB/G members often advise researchers on behalf of the communities they represent. In this paper we describe a network of community members (‘KEMRI Community Representatives’, or ‘KCRs’) linked to (...)
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  16.  3
    Jaimie Arona Krems & R. I. M. Dunbar (2013). Clique Size and Network Characteristics in Hyperlink Cinema. Human Nature 24 (4):414-429.
    Hyperlink cinema is an emergent film genre that seeks to push the boundaries of the medium in order to mirror contemporary life in the globalized community. Films in the genre thus create an interacting network across space and time in such a way as to suggest that people’s lives can intersect on scales that would not have been possible without modern technologies of travel and communication. This allows us to test the hypothesis that new kinds of media might permit (...)
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  17.  16
    Marie Darrason (forthcoming). Mechanistic and Topological Explanations in Medicine: The Case of Medical Genetics and Network Medicine. Synthese:1-27.
    Medical explanations have often been thought on the model of biological ones and are frequently defined as mechanistic explanations of a biological dysfunction. In this paper, I argue that topological explanations, which have been described in ecology or in cognitive sciences, can also be found in medicine and I discuss the relationships between mechanistic and topological explanations in medicine, through the example of network medicine and medical genetics. Network medicine is a recent discipline that relies on the analysis (...)
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  18.  32
    René Van Den Brink, Peter Borm, Ruud Hendrickx & Guillermo Owen (2008). Characterizations of the Β- and the Degree Network Power Measure. Theory and Decision 64 (4):519-536.
    A symmetric network consists of a set of positions and a set of bilateral links between these positions. For every symmetric network we define a cooperative transferable utility game that measures the “power” of each coalition of positions in the network. Applying the Shapley value to this game yields a network power measure, the β-measure, which reflects the power of the individual positions in the network. Applying this power distribution method iteratively yields a limit distribution, (...)
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  19.  9
    Andrew A. Fingelkurts, Alexander A. Fingelkurts & Tarja Kallio-Tamminen (2016). Trait Lasting Alteration of the Brain Default Mode Network in Experienced Meditators and the Experiential Selfhood. Self and Identity 15 (4):381-393.
    Based on the finding in novices that four months of meditation training significantly increases frontal default mode network (DMN) module/subnet synchrony while decreasing left and right posterior DMN modules synchrony, the current study tested the prediction whether experienced meditators (those who are practising meditation intensively for several years) had a change in the DMN “trinity” of modules as a baseline trait characteristic and whether this change is in a similar direction as in the novice trainees who practised meditation for (...)
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  20.  7
    Tomas Engelthaler & Thomas T. Hills (2016). Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition. Cognitive Science 40 (6):n/a-n/a.
    Do properties of a word's features influence the order of its acquisition in early word learning? Combining the principles of mutual exclusivity and shape bias, the present work takes a network analysis approach to understanding how feature distinctiveness predicts the order of early word learning. Distance networks were built from nouns with edge lengths computed using various distance measures. Feature distinctiveness was computed as a distance measure, showing how far an object in a network is from other objects (...)
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  21.  39
    Maria Poulaki (2012). The Subject Trapped in Gomorrah : Undecidability and Choice in Network Cinema. Film-Philosophy 16 (1):55-71.
    This paper uses the recent ‘network film’ of Mateo Garrone Gomorrah in order to let Alain Badiou’s theory of subjectivization-in-decision percolate through the immanent networks of contemporary ‘risk societies’ and the narrative structures through which they find expression in cinema. Adumbrating a tension between choices and decisions I seek to create ‘edges’ between two worlds that in the most part of Badiou’s work have been decisively and platonically separated: the world of being and the one of our embodied social (...)
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  22.  8
    Shiri Lev‐Ari (2016). How the Size of Our Social Network Influences Our Semantic Skills. Cognitive Science 40 (8):2050-2064.
    People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size (...)
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  23.  21
    Frédéric Deroïan (2006). Formation of a Communication Network Under Perfect Foresight. Theory and Decision 61 (3):191-204.
    We study the formation of a communication network under perfect foresight. We show the existence of a non-monotonic relationship between the cost of link formation and the total number of links created in stable networks. This result enhances a dilemma between stable and efficient networks.
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  24.  21
    Božidar Filipović (2012). Bruno Latour and Actor-Network-Theory. Filozofija I Društvo 23 (1):129-149.
    This paper identifies the key moments in the development of Actor-Network-Theory through several important work by Bruno Latour. It is possible to discern a number of departures from the initial position of the author in his latter works. Actor-Network-Theory is presented through a series of “neuralgic” points inherent to and visible within the theory. The solutions which Actor-Network-Theory offers for fundamental problems of sociology, as defined by Latour, are discussed at the end of the paper.
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  25.  15
    Yuna Chiffoleau & Jean-Marc Touzard (2014). Understanding Local Agri-Food Systems Through Advice Network Analysis. Agriculture and Human Values 31 (1):19-32.
    Agri-food clusters have generated great interest in recent years and prompted a new wave of research dedicated to ‘Localized Agri-Food Systems’. However, the specific nature of relations between firms who belong to SYALs has rarely been studied. Our purpose is to show how the analysis of company directors’ advice networks helps to better understand the specificity and innovative dynamics of SYALs. Our research was based on a case study in the Biterrois wine growing region of southern France. We conducted a (...)
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  26.  17
    Jolian McHardy, Michael Reynolds & Stephen Trotter (2012). On the Problem of Network Monopoly. Theory and Decision 73 (2):223-248.
    We consider the problem of pricing in a network industry focussing in particular on the issue of cross-network pricing (e.g. cross-network cell phone charges). Economic theory tells us in relation to cross-network pricing that collusion or network monopoly may yield welfare as well as profit benefits although any welfare benefits from cross-network collusion may be more than offset by a reduction in competition elsewhere. To address this, we introduce a new regulatory concept: the independent (...)
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  27.  19
    Yeslam Al-Saggaf & Md Zahidul Islam (2015). Data Mining and Privacy of Social Network Sites’ Users: Implications of the Data Mining Problem. Science and Engineering Ethics 21 (4):941-966.
    This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining (...)
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  28.  19
    Wim Vandekerckhove & Nikolay A. Dentchev (2005). A Network Perspective on Stakeholder Management: Facilitating Entrepreneurs in the Discovery of Opportunities. Journal of Business Ethics 60 (3):221-232.
    The problem of opportunity discovery is at the heart of entrepreneurial activity. Cognitive limitations determine the search for and the analysis of information and, as a consequence, constrain the identification of opportunities. Moreover, typical personal characteristics – locus of control, need for independence and need for achievement – suggest that entrepreneurs will tend to take a central position in their stakeholder environments and thus fail to adapt to the complexity of stakeholder relationships in their entrepreneurial activity. We approach this problem (...)
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  29.  14
    Hubert Buch‐Hansen (2014). Social Network Analysis and Critical Realism. Journal for the Theory of Social Behaviour 44 (3):306-325.
    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, (...)
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  30.  7
    Bin Wu & Liyan Zhang (2013). Farmer Innovation Diffusion Via Network Building: A Case of Winter Greenhouse Diffusion in China. [REVIEW] Agriculture and Human Values 30 (4):641-651.
    Farmer innovation diffusion (FID) in the developing world is not simply the adoption of an innovation made by farmers, but a process of communication and cooperation between farmers, governments, and other stakeholders. While increasing attention has been paid to farmer innovation, little is known about how farmers’ innovations are successfully diffused. To fill this gap, this paper aims to address the following questions: What conditions are necessary for farmers to participate in FID? How is a collaborative network built up (...)
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  31.  7
    Hye Joo Han, Richard Schweickert, Zhuangzhuang Xi & Charles Viau‐Quesnel (2016). The Cognitive Social Network in Dreams: Transitivity, Assortativity, and Giant Component Proportion Are Monotonic. Cognitive Science 40 (3):671-696.
    For five individuals, a social network was constructed from a series of his or her dreams. Three important network measures were calculated for each network: transitivity, assortativity, and giant component proportion. These were monotonically related; over the five networks as transitivity increased, assortativity increased and giant component proportion decreased. The relations indicate that characters appear in dreams systematically. Systematicity likely arises from the dreamer's memory of people and their relations, which is from the dreamer's cognitive social (...). But the dream social network is not a copy of the cognitive social network. Waking life social networks tend to have positive assortativity; that is, people tend to be connected to others with similar connectivity. Instead, in our sample of dream social networks assortativity is more often negative or near 0, as in online social networks. We show that if characters appear via a random walk, negative assortativity can result, particularly if the random walk is biased as suggested by remote associations. (shrink)
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  32.  28
    Tara Fenwick (2011). Reading Educational Reform with Actor Network Theory: Fluid Spaces, Otherings, and Ambivalences. Educational Philosophy and Theory 43 (5-6):114-134.
    In considering two extended examples of educational reform efforts, this discussion traces relations that become visible through analytic approaches associated with actor-network theory (ANT). The strategy here is to present multiple readings of the two examples. The first reading adopts an ANT approach to follow ways that all actors—human and non-human entities, including the entity that is taken to be ‘educational reform’—are performed into being through the play of linkages among heterogeneous elements. Then, further readings focus not only on (...)
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  33.  17
    Arash Rahman (2012). Wealth Adjustment Using a No-Interest Credit Network in an Artificial Society. AI and Society 27 (4):535-541.
    This paper discusses the possibility of wealth adjustment through a credit network. The discussed credit network in this paper is a kind of loaning with no interest rate (its value is zero). It explains the influence of existence or inexistence of a cooperation originated from the credit network on wealth distribution and adjustment in an artificial society. To show how the wealth may distribute, environment agents in terms of their obtained wealth have been classified into ten wealth (...)
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  34.  16
    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.
    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 (...)
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  35.  15
    Stan Franklin & Max Garzon (1992). On Stability and Solvability (or, When Does a Neural Network Solve a Problem?). Minds and Machines 2 (1):71-83.
    The importance of the Stability Problem in neurocomputing is discussed, as well as the need for the study of infinite networks. Stability must be the key ingredient in the solution of a problem by a neural network without external intervention. Infinite discrete networks seem to be the proper objects of study for a theory of neural computability which aims at characterizing problems solvable, in principle, by a neural network. Precise definitions of such problems and their solutions are given. (...)
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  36.  13
    Michael Riesen & Gursel Serpen (2008). Validation of a Bayesian Belief Network Representation for Posterior Probability Calculations on National Crime Victimization Survey. Artificial Intelligence and Law 16 (3):245-276.
    This paper presents an effort to induce a Bayesian belief network (BBN) from crime data, namely the national crime victimization survey (NCVS). This BBN defines a joint probability distribution over a set of variables that were employed to record a set of crime incidents, with particular focus on characteristics of the victim. The goals are to generate a BBN to capture how characteristics of crime incidents are related to one another, and to make this information available to domain specialists. (...)
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  37.  2
    Stephen Bush, Jagannath F., Evans Sunil, B. Joseph, Victor Frost, Gary Minden & K. Sam Shanmugan (1997). A Control and Management Network for Wireless ATM Systems. Acm-Baltzer Wireless Networks 3:267--283.
    This paper describes the design of a control and management network (orderwire) for a mobile wireless Asynchronous Transfer Mode (ATM) network. This mobile wireless ATM network is part of the Rapidly Deployable Radio Network (RDRN). The orderwire system consists of a packet radio network which overlays the mobile wireless ATM network, each network element in this network uses Global Positioning System (GPS) information to control a beamforming antenna subsystem which provides for spatial (...)
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  38.  2
    Stephen F. S. F. Bush (2005). A Simple Metric for Ad Hoc Network Adaptation. Ieee Journal on Selected Areas in Communications Journal 23 (12):2272--2287.
    This paper examines flexibility in ad hoc networks and suggests that, even with cross-layer design as a mechanism to improve adaptation, a fundamental limitation exists in the ability of a single optimization function, defined a priori, to adapt the network to meet all quality-of-service requirements. Thus, code implementing multiple algorithms will have to be positioned within the network. Active networking and programmable networking enable unprecedented autonomy and flexibility for ad hoc communication networks. However, in order to best leverage (...)
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  39.  2
    Fayme Yeates, Andy J. Wills, Fergal W. Jones & Ian P. L. McLaren (2015). State‐Trace Analysis: Dissociable Processes in a Connectionist Network? Cognitive Science 39 (5):1047-1061.
    Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed. One proposed solution is state-trace analysis, which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either a single process underlies performance or there is evidence for more than one process. This article reports simulations using the simple recurrent network (...)
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  40. Stephen F. Bush (1999). The Design and Analysis of Virtual Network Configuration for a Wireless Mobile Atm Network. Dissertation,
    This research concentrates on the design and analysis of an algorithm referred to as Virtual Network Configuration (VNC) which uses predicted future states of a system for faster network configuration and management. VNC is applied to the configuration of a wireless mobile ATM network. VNC is built on techniques from parallel discrete event simulation merged with constraints from real-time systems and applied to mobile ATM configuration and handoff. Configuration in a mobile network is a dynamic and (...)
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  41. Andrea Civello (2013). On the Genesis of the Idiotypic Network Theory. Journal of the History of Biology 46 (1):125-158.
    The idiotypic network theory (INT) was conceived by the Danish immunologist Niels Kaj Jerne in 1973/1974. It proposes an overall view of the immune system as a network of lymphocytes and antibodies. The paper tries to offer a reconstruction of the genesis of the theory, now generally discarded and of mostly historical interest, first of all, by taking into account the context in which Jerne’s theoretical proposal was advanced. It is argued the theory challenged, in a sense, the (...)
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  42.  11
    Friederike Schultz, Itziar Castelló & Mette Morsing (2013). The Construction of Corporate Social Responsibility in Network Societies: A Communication View. [REVIEW] Journal of Business Ethics 115 (4):681-692.
    The paper introduces the communication view on Corporate Social Responsibility (CSR), which regards CSR as communicatively constructed in dynamic interaction processes in today’s networked societies. Building on the idea that communication constitutes organizations we discuss the potentially indeterminate, disintegrative, and conflictual character of CSR. We hereby challenge established mainstream views on CSR such as the instrumental view, which regards CSR as an organizational instrument to reach organizational aims such as improved reputation and financial performance, and the political-normative view on CSR, (...)
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  43.  5
    Vladimir E. Bondarenko (2005). Information Processing, Memories, and Synchronization in Chaotic Neural Network with the Time Delay. Complexity 11 (2):39-52.
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  44.  13
    Diyi Chen & Wenting Han (2013). Prediction of Multivariate Chaotic Time Series Via Radial Basis Function Neural Network. Complexity 18 (4):55-66.
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  45.  12
    Luciano Floridi (2009). Network Ethics: Information and Business Ethics in a Networked Society. [REVIEW] Journal of Business Ethics 90 (4):649 - 659.
    This article brings together two research fields in applied ethics - namely, information ethics and business ethics- which deal with the ethical impact of information and communication technologies but that, so far, have remained largely independent. Its goal is to articulate and defend an informational approach to the conceptual foundation of business ethics, by using ideas and methods developed in information ethics, in view of the convergence of the two fields in an increasingly networked society.
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  46.  18
    Shahadat Uddin, Liaquat Hossain, Shahriar Tanvir Murshed & John W. Crawford (2011). Static Versus Dynamic Topology of Complex Communications Network During Organizational Crisis. Complexity 16 (5):27-36.
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  47.  2
    Ying Li, Hongduo Caö & Yong Tan (2011). Novel Method of Identifying Time Series Based on Network Graphs. Complexity 17 (1):13-34.
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    Aron Vallinder & Erik J. Olsson (2014). Trust and the Value of Overconfidence: A Bayesian Perspective on Social Network Communication. Synthese 191 (9):1991-2007.
    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 environment that (...)
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    Vera Keller (2012). The Centre of Nature: Baron Johann Otto von Hellwig Between a Global Network and a Universal Republic. Early Science and Medicine 17 (5):570-588.
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    Dan Lloyd (1994). Connectionist Hysteria: Reducing a Freudian Case Study to a Network Model. Philosophy, Psychiatry, and Psychology 1 (2):69-88.
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