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

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  1. Luciano Floridi (2012). Semantic Information and the Network Theory of Account. Synthese 184 (3):431-454.score: 18.0
    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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  2. Maria Poulaki (2012). The Subject Trapped in Gomorrah : Undecidability and Choice in Network Cinema. Film-Philosophy 16 (1):55-71.score: 18.0
    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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  3. Ibo van de Poel (2008). How Should We Do Nanoethics? A Network Approach for Discerning Ethical Issues in Nanotechnology. NanoEthics 2 (1):25-38.score: 18.0
    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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  4. Tara Fenwick (2011). Reading Educational Reform with Actor Network Theory: Fluid Spaces, Otherings, and Ambivalences. Educational Philosophy and Theory 43 (5-6):114-134.score: 18.0
    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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  5. 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: 18.0
    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 (...)
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  6. Wim Vandekerckhove & Nikolay A. Dentchev (2005). A Network Perspective on Stakeholder Management: Facilitating Entrepreneurs in the Discovery of Opportunities. [REVIEW] Journal of Business Ethics 60 (3):221 - 232.score: 18.0
    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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  7. Klaudius Kalcher, Wolfgang Huf, Roland N. Boubela, Peter Filzmoser, Lukas Pezawas, Bharat Biswal, Siegfried Kasper, Ewald Moser & Christian Windischberger (2012). Fully Exploratory Network Independent Component Analysis of the 1000 Functional Connectomes Database. Frontiers in Human Neuroscience 6.score: 18.0
    The 1000 Functional Connectomes Project is a collection of resting-state fMRI datasets from more than 1,000 subjects acquired in more than 30 independent studies from around the globe. This large, heterogeneous sample of resting-state data offers the unique opportunity to study the consistencies of resting-state networks at both subject and study level. In extension to the seminal paper by Biswal et al. (2010), where a repeated temporal concatenation group ICA approach on reduced subsets (using 20 as a prespecified number of (...)
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  8. Baojuan Li, Xiang Wang, Shuqiao Yao, Dewen Hu & Karl Friston (2012). Task-Dependent Modulation of Effective Connectivity Within the Default Mode Network. Frontiers in Psychology 3.score: 18.0
    The default mode network (DMN) has recently attracted widespread interest. Previous studies have found that task-related processing can induce deactivation and changes in the functional connectivity of this network. However, it remains unclear how tasks modulate the underlying effective connectivity within the DMN. Using recent advances in dynamic causal modeling (DCM), we investigated the modulatory effect of (gender judgment) task performance on directed connectivity within the DMN. Sixteen healthy subjects were scanned twice: at rest and while performing a (...)
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  9. 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.score: 18.0
    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 (GDR) 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 (...)
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  10. 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.score: 18.0
    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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  11. 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.score: 18.0
    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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  12. Arash Rahman (2012). Wealth Adjustment Using a No-Interest Credit Network in an Artificial Society. AI and Society 27 (4):535-541.score: 18.0
    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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  13. Karl Friston Baojuan Li, Xiang Wang, Shuqiao Yao, Dewen Hu (2012). Task-Dependent Modulation of Effective Connectivity Within the Default Mode Network. Frontiers in Psychology 3.score: 18.0
    The default mode network (DMN) has recently attracted widespread interest. Previous studies have found that task-related processing can induce deactivation and changes in the functional connectivity of this network. However, it remains unclear how tasks modulate the underlying effective connectivity within the DMN. Using recent advances in dynamic causal modeling (DCM), we investigated the modulatory effect of (gender judgment) task performance on directed connectivity within the DMN. Sixteen healthy subjects were scanned twice: at rest and while performing a (...)
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  14. 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.score: 18.0
    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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  15. Christian Windischberger Klaudius Kalcher, Wolfgang Huf, Roland N. Boubela, Peter Filzmoser, Lukas Pezawas, Bharat Biswal, Siegfried Kasper, Ewald Moser (2012). Fully Exploratory Network Independent Component Analysis of the 1000 Functional Connectomes Database. Frontiers in Human Neuroscience 6.score: 18.0
    The 1000 Functional Connectomes Project is a collection of resting-state fMRI datasets from more than 1,000 subjects acquired in more than 30 independent studies from around the globe. This large, heterogeneous sample of resting-state data offers the unique opportunity to study the consistencies of resting-state networks at both subject and study level. In extension to the seminal paper by Biswal et al. (2010), where a repeated temporal concatenation group ICA approach on reduced subsets (using 20 as a prespecified number of (...)
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  16. Sheng Zhang & Chiang-Shan R. Li (2012). Task-Related, Low-Frequency Task-Residual, and Resting State Activity in the Default Mode Network Brain Regions. Frontiers in Psychology 3.score: 18.0
    The hypothesis of a default mode network (DMN) of brain function is based on observations of task-independent decreases of brain activity during effort as participants are engaged in tasks in contrast to resting. On the other hand, studies also showed that DMN regions activate rather than deactivate in response to task-related events. Thus, does DMN “deactivate” during effort as compared to resting? We addressed this question with two approaches. First, we examined DMN activities during resting, task residuals, and task (...)
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  17. Mark S. Cohen Ariana Anderson (2013). Decreased Small-World Functional Network Connectivity and Clustering Across Resting State Networks in Schizophrenia: An fMRI Classification Tutorial. Frontiers in Human Neuroscience 7.score: 18.0
    Functional network connectivity is a method of analyzing the temporal relationship of anatomical brain components, comparing the synchronicity between patient groups or conditions. We use functional-connectivity measures between independent components to classify between Schizophrenia patients and healthy controls during resting-state. Connectivity is measured using a variety of graph-theoretic connectivity measures such as graph density, average path length, and small-worldness. The Schizophrenia patients showed significantly less clustering (transitivity) among components than healthy controls (p<.05, corrected) with networks less likely to be (...)
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  18. Zhang Chen, Min Liu, Donald William Gross & Christian Beaulieu (2013). Graph Theoretical Analysis of Developmental Patterns of the White Matter Network. Frontiers in Human Neuroscience 7.score: 18.0
    Understanding the development of human brain organization is critical for gaining insight into how the enhancement of cognitive processes is related to the fine-tuning of the brain network. However, the developmental trajectory of the large-scale white matter (WM) network is not fully understood. Here, using graph theory, we examine developmental changes in the organization of WM networks in 180 typically-developing participants. WM networks were constructed using whole brain tractography and 78 cortical regions of interest were extracted from each (...)
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  19. Michael Pirson & Shann Turnbull (2011). Toward a More Humanistic Governance Model: Network Governance Structures. [REVIEW] Journal of Business Ethics 99 (1):101 - 114.score: 18.0
    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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  20. Roberto Viviani (2013). Emotion Regulation, Attention to Emotion, and the Ventral Attentional Network. Frontiers in Human Neuroscience 7.score: 18.0
    Accounts of the effect of emotion on response and current models of emotion regulation are based on two opposed but interacting processes: automatic bottom-up processes (triggered by emotionally arousing stimuli) and top-down control processes (mapped to prefrontal cortical areas). Data on the existence of a third attentional network operating without recourse to limited-capacity processes but influencing response raise the issue of how it is integrated in emotion regulation. We summarize here data from attention to emotion, voluntary emotion regulation, and (...)
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  21. Christian Sorg Andrei Manoliu, Valentin Riedl, Anselm Doll, Josef Georg Bäuml, Mark Mühlau, Dirk Schwerthöffer, Martin Scherr, Claus Zimmer, Hans Förstl, Josef Bäuml, Afra M. Wohlschläger, Kathrin Koch (2013). Insular Dysfunction Reflects Altered Between-Network Connectivity and Severity of Negative Symptoms in Schizophrenia During Psychotic Remission. Frontiers in Human Neuroscience 7.score: 18.0
    Schizophrenia is characterized by aberrant intrinsic functional connectivity (iFC) within and between intrinsic connectivity networks (ICNs), including the Default Mode- (DMN), Salience- (SN) and Central Executive Network (CEN). The anterior insula (AI) of the SN has been demonstrated to modulate DMN/CEN interactions. Recently, we found that the dependence of DMN/CEN interactions on SN´s right AI activity is altered in patients with schizophrenia in acute psychosis and related to psychotic symptoms, indicating a link between aberrant AI, DMN, CEN and psychosis. (...)
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  22. Valentin Riedl Anselm Doll, Christian Sorg, Andrei Manoliu, Andreas Wöller, Chun Meng, Hans Förstl, Claus Zimmer, Afra M. Wohlschläger (2013). Shifted Intrinsic Connectivity of Central Executive and Salience Network in Borderline Personality Disorder. Frontiers in Human Neuroscience 7.score: 18.0
    Borderline personality disorder (BPD) is characterized by “stable instability” of emotions and behavior and their regulation. This emotional and behavioral instability corresponds with a neurocognitive triple network model of psychopathology, which suggests that aberrant emotional saliency and cognitive control is associated with aberrant interaction across three intrinsic connectivity networks (ICN) (i.e. the salience, default mode, and central executive network, SN, DMN, CEN). The objective of the current study was to investigate whether and how such triple network intrinsic (...)
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  23. 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.score: 18.0
    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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  24. Hubert Buch‐Hansen (2013). Social Network Analysis and Critical Realism. Journal for the Theory of Social Behaviour 44 (1).score: 18.0
    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 networks, (...)
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  25. 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.score: 18.0
    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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  26. Yuna Chiffoleau & Jean-Marc Touzard (2013). Understanding Local Agri-Food Systems Through Advice Network Analysis. Agriculture and Human Values:1-14.score: 18.0
    Agri-food clusters have generated great interest in recent years and prompted a new wave of research dedicated to ‘Localized Agri-Food Systems’ (SYALs in French). 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. (...)
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  27. Andrea Civello (2013). On the Genesis of the Idiotypic Network Theory. Journal of the History of Biology 46 (1):125-158.score: 18.0
    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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  28. Holk Cruse & Malte Schilling (2013). How and to What End May Consciousness Contribute to Action? Attributing Properties of Consciousness to an Embodied, Minimally Cognitive Artificial Neural Network. Frontiers in Psychology 4.score: 18.0
    An artificial neural network called reaCog is described which is based on a decentralized, reactive and embodied architecture to control non-trivial hexapod walking in unpredictable environment (Walknet) as well as insect-like navigation (Navinet). In reaCog, these basic networks are extended in such a way that the complete system, reaCog, adopts the capability of inventing new behaviors and - via internal simulation - of planning ahead. This cognitive expansion enables the reactive system to be enriched with additional procedures. Here, we (...)
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  29. Frédéric Deroïan (2006). Formation of a Communication Network Under Perfect Foresight. Theory and Decision 61 (3):191-204.score: 18.0
    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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  30. Nava Rubin Edward A. Vessel, G. Gabrielle Starr (2012). The Brain on Art: Intense Aesthetic Experience Activates the Default Mode Network. Frontiers in Human Neuroscience 6.score: 18.0
    Aesthetic responses to visual art comprise multiple types of experiences, from sensation and perception to emotion and self-reflection. Moreover, aesthetic experience is highly individual, with observers varying significantly in their responses to the same artwork. Combining fMRI and behavioral analysis of individual differences in aesthetic response, we identify two distinct patterns of neural activity exhibited by different subnetworks. Activity increased linearly with observers’ ratings (4-level scale) in sensory (occipito-temporal) regions. Activity in the striatum also varied linearly with ratings, with below-baseline (...)
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  31. Susan Whitfield-Gabrieli Elizabeth Redcay, Joseph M. Moran, Penelope L. Mavros, Helen Tager-Flusberg, John D. E. Gabrieli (2013). Intrinsic Functional Network Organization in High-Functioning Adolescents with Autism Spectrum Disorder. Frontiers in Human Neuroscience 7.score: 18.0
    Converging theories and data suggest that atypical patterns of functional and structural connectivity are a hallmark neurobiological feature of autism. However, empirical studies of functional connectivity, or, the correlation of MRI signal between brain regions, have largely been conducted during task performance and/or focused on group differences within one network (e.g., the default mode network). This narrow focus on task-based connectivity and single network analyses precludes investigation of whole-brain intrinsic network organization in autism. To assess whole-brain (...)
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  32. Michel Grabisch & Agnieszka Rusinowska (2010). A Model of Influence in a Social Network. Theory and Decision 69 (1):69-96.score: 18.0
    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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  33. Morten L. Kringelbach Hans C. Lou, Morten Joensson (2011). Yoga Lessons for Consciousness Research: A Paralimbic Network Balancing Brain Resource Allocation. Frontiers in Psychology 2.score: 18.0
    Consciousness has been proposed to play a key role in shaping flexible learning and as such is thought to confer an evolutionary advantage. Attention and awareness are the perhaps most important underlying processes, yet their precise relationship is presently unclear. Both of these processes must, however, serve the evolutionary imperatives of survival and procreation. They are thus intimately bound by reward and emotion to help to prioritize efficient brain resource allocation in order to predict and optimize behaviour. Here we show (...)
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  34. Hans Henseler (2010). Network-Based Filtering for Large Email Collections in E-Discovery. Artificial Intelligence and Law 18 (4):413-430.score: 18.0
    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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  35. Hiroshi Fukuda Kai Wu, Yasuyuki Taki, Kazunori Sato, Haochen Qi, Ryuta Kawashima (2013). A Longitudinal Study of Structural Brain Network Changes with Normal Aging. Frontiers in Human Neuroscience 7.score: 18.0
    The aim of this study was to investigate age-related changes in the topological organization of structural brain networks by applying a longitudinal design over 6 years. Structural brain networks were derived from measurements of regional gray matter volume and were constructed in age-specific groups from baseline and follow-up scans. The structural brain networks showed economical small-world properties, providing high global and local efficiency for parallel information processing at low connection costs. In the analysis of the global network properties, the (...)
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  36. V. Schöpf K. Kollndorfer, F. Ph S. Fischmeister, G. Kasprian, D. Prayer (2013). A Systematic Investigation of the Invariance of Resting-State Network Patterns: Is Resting-State fMRI Ready for Pre-Surgical Planning? Frontiers in Human Neuroscience 7.score: 18.0
    Objectives: Measurements of resting-state networks (RSN) have been used to investigate a wide range of diseases, such as dementia or epilepsy. This raises the question whether this method could also serve as a pre-surgical planning tool. Generating reliable functional connectivity patterns is of crucial importance, particularly for pre-surgical planning, as these patterns may directly affect the outcome. Methods: This study investigated the reproducibility of four commonly used resting-state conditions: fixation on a black crosshair on a white screen; fixation on the (...)
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  37. Jaimie Arona Krems & R. I. M. Dunbar (2013). Clique Size and Network Characteristics in Hyperlink Cinema. Human Nature 24 (4):414-429.score: 18.0
    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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  38. John D. Lewis, Rebecca Theilmann, Jeanne Townsend & Alan Evans (2013). Network Efficiency in Autism Spectrum Disorder and its Relation to Brain Overgrowth. Frontiers in Human Neuroscience 7:845.score: 18.0
    A substantial body of evidence links differences in brain size to differences in brain organization. We have hypothesized that the developmental aspect of this relation plays a role in autism spectrum disorder (ASD), a neurodevelopmental disorder which involves abnormalities in brain growth. Children with ASD have abnormally large brains by the second year of life, and for several years thereafter their brain size can be multiple standard deviations above the norm. The greater conduction delays and cellular costs presumably associated with (...)
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  39. Rogier B. Mars, Franz-Xaver Neubert, MaryAnn P. Noonan, Jerome Sallet, Ivan Toni & Matthew F. S. Rushworth (2012). On the Relationship Between the “Default Mode Network” and the “Social Brain”. Frontiers in Human Neuroscience 6.score: 18.0
    The default mode network (DMN) of the brain consists of areas that are typically more active during rest than during active task performance. Recently however, this network has been shown to be activated by certain types of tasks. Social cognition, particularly higher-order tasks such as attributing mental states to others, has been suggested to activate a network of areas at least partly overlapping with the DMN. Here, we explore this claim, drawing on evidence from meta-analyses of functional (...)
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  40. Jolian McHardy, Michael Reynolds & Stephen Trotter (2012). On the Problem of Network Monopoly. Theory and Decision 73 (2):223-248.score: 18.0
    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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  41. Bhargav Adagarla Michael S. Vitevitch, Gunes Ercal (2011). Simulating Retrieval From a Highly Clustered Network: Implications for Spoken Word Recognition. Frontiers in Psychology 2.score: 18.0
    Network science describes how entities in complex systems interact, and argues that the structure of the network influences processing. Clustering coefficient, C—one measure of network structure—refers to the extent to which neighbors of a node are also neighbors of each other. Previous simulations suggest that networks with low C dissipate information (or disease) to a large portion of the network, whereas in networks with high C information (or disease) tends to be constrained to a smaller portion (...)
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  42. Cathy J. Price Mohamed L. Seghier (2012). Functional Heterogeneity Within the Default Network During Semantic Processing and Speech Production. Frontiers in Psychology 3.score: 18.0
    This fMRI study investigated the functional heterogeneity of the core nodes of the default mode network (DMN) during language processing. The core nodes of the DMN were defined as task-induced deactivations over multiple tasks in 94 healthy subjects. We used a factorial design that manipulated different tasks (semantic matching or speech production) and stimuli (familiar words and objects or unfamiliar stimuli), alternating with periods of fixation/rest. Our findings revealed several consistent effects in the DMN, namely less deactivations in the (...)
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  43. Franziska Preusse, Elke Van Der Meer, Gopikrishna Deshpande, Frank Krueger & Isabell Wartenburger (2011). Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning. Frontiers in Human Neuroscience 5.score: 18.0
    Fluid intelligence is the ability to think flexibly and to understand abstract relations. People with high fluid intelligence (hi-fluIQ) perform better in analogical reasoning tasks than people with average fluid intelligence (ave-fluIQ). Although previous neuroimaging studies reported involvement of parietal and frontal brain regions in geometric analogical reasoning (which is a prototypical task for fluid intelligence), however, neuroimaging findings on geometric analogical reasoning in hi-fluIQ are sparse. Furthermore, evidence on the relation between brain activation and intelligence while solving cognitive tasks (...)
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  44. Stefano Sandrone (2013). Self Through the Mirror (Neurons) and Default Mode Network: What Neuroscientists Found and What Can Still Be Found There. Frontiers in Human Neuroscience 7.score: 18.0
    Self through the Mirror (Neurons) and Default Mode Network: What Neuroscientists Found and What Can Still be Found There.
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  45. Stefano Sandrone (2012). The Brain as a Crystal Ball: The Predictive Potential of Default Mode Network. Frontiers in Human Neuroscience 6.score: 18.0
    The Brain as a Crystal Ball: The Predictive Potential of Default Mode Network.
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  46. Cynthia S. Q. Siew (2013). Community Structure in the Phonological Network. Frontiers in Psychology 4.score: 18.0
    Community structure, which refers to the presence of densely connected groups within a larger network, is a common feature of several real-world networks from a variety of domains such as the human brain, social networks of hunter-gatherers and business organizations, and the World Wide Web (Porter et al., 2009). Using a community detection technique known as the Louvain optimization method, 17 communities were extracted from the giant component of the phonological network described in Vitevitch (2008). Additional analyses comparing (...)
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  47. Lisa Aziz-Zadeh Sook-Lei Liew, Tong Sheng, John L. Margetis (2013). Both Novelty and Expertise Increase Action Observation Network Activity. Frontiers in Human Neuroscience 7.score: 18.0
    Our experiences with others affect how we perceive their actions. In particular, activity in bilateral premotor and parietal cortices during action observation, collectively known as the action observation network (AON), is modulated by one’s expertise with the observed actions or individuals. However, conflicting reports suggest that AON activity is greatest both for familiar and unfamiliar actions. The current study examines the effects of different types and amounts of experience (e.g., visual, interpersonal, personal) on AON activation. fMRI was used to (...)
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  48. R. Nathan Spreng (2012). The Fallacy of a “Task-Negative” Network. Frontiers in Psychology 3.score: 18.0
    The Fallacy of a “Task-Negative” Network.
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  49. 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.score: 18.0
    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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  50. 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.score: 18.0
    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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