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31 Traag, Vincent Algorithms and Dynamical Models for Communities and Reputation in Social Networks I08012 2014 eBook  
32 Gon??alves, Bruno Social Phenomena I08006 2015 eBook  
33 Holme, Petter Temporal Networks I07999 2013 eBook  
34 Bertino, Elisa Roles, Trust, and Reputation in Social Media Knowledge Markets I07794 2015 eBook  
35 Fellman, Philip Vos Conflict and Complexity I07689 2015 eBook  
36 Massip-Bonet, ??ngels Complexity Perspectives on Language, Communication and Society I07610 2013 eBook  
37 Deffuant, Guillaume Viability and Resilience of Complex Systems I07171 2011 eBook  
38 Ball, Philip Why Society is a Complex Matter I07060 2012 eBook  
39 Miritello, Giovanna Temporal Patterns of Communication in Social Networks I06996 2013 eBook  
40 Scharnhorst, Andrea Models of Science Dynamics I06006 2012 eBook  
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31.    
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TitleAlgorithms and Dynamical Models for Communities and Reputation in Social Networks
Author(s)Traag, Vincent
PublicationCham, Springer International Publishing, 2014.
DescriptionXIV, 229 p. 40 illus., 19 illus. in color : online resource
Abstract NoteA persistent problem when finding communities in large complex networks is the so-called resolution limit. This thesis addresses this issue meticulously, and introduces the important notion of resolution-limit-free. Remarkably, only few methods possess this desirable property, and this thesis puts forward one such method. Moreover, it discusses how to asses whether communities can occur by chance or not. One aspect that is often ignored in this field is treated here: links can also be negative, as in war or conflict. Besides how to incorporate this in community detection, it also examines the dynamics of such negative links, inspired by a sociological theory known as social balance. This has intriguing connections to the evolution of cooperation, suggesting that for cooperation to emerge, groups often split in two opposing factions. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links
ISBN,Price9783319063911
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. EBOOK 3. EBOOK - SPRINGER 4. Economic sociology 5. GAME THEORY 6. Game Theory, Economics, Social and Behav. Sciences 7. MATHEMATICS 8. Mathematics in the Humanities and Social Sciences 9. Organizational Studies, Economic Sociology 10. PHYSICS 11. SOCIAL SCIENCES
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32.     
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TitleSocial Phenomena : From Data Analysis to Models
Author(s)Gon??alves, Bruno;Perra, Nicola
PublicationCham, Springer International Publishing, 2015.
DescriptionXII, 260 p. 71 illus., 67 illus. in color : online resource
Abstract NoteThis book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis??to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities as diverse as social sciences, physics and computer science. We hope to not only provide an unifying framework to understand and characterize social phenomena, but also to help foster the dialogue between researchers working on similar problems from different fields and perspectives
ISBN,Price9783319140117
Keyword(s)1. APPLICATION SOFTWARE 2. Computer Appl. in Social and Behavioral Sciences 3. Data-driven Science, Modeling and Theory Building 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOPHYSICS 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. Methodology of the Social Sciences 10. Numerical and Computational Physics, Simulation 11. PHYSICS 12. SOCIAL SCIENCES 13. Sociophysics
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33.     
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TitleTemporal Networks
Author(s)Holme, Petter;Saram??ki, Jari
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionVIII, 352 p : online resource
Abstract NoteThe concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach?? the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field
ISBN,Price9783642364617
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. EBOOK 5. EBOOK - SPRINGER 6. MATHEMATICS 7. Mathematics in the Humanities and Social Sciences 8. Methodology of the Social Sciences 9. PHYSICS 10. SOCIAL SCIENCES
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34.     
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TitleRoles, Trust, and Reputation in Social Media Knowledge Markets : Theory and Methods
Author(s)Bertino, Elisa;Matei, Sorin Adam
PublicationCham, Springer International Publishing, 2015.
DescriptionXIV, 198 p. 16 illus., 15 illus. in color : online resource
Abstract NoteThis title discusses the emerging trends in defining, measuring, and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book also proposes a future research agenda related to these issues???with the ultimate goal of shaping the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles. Roles, Trust, and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories, and methodologies proposed here offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow???s information consumers make smarter choices, developers to create new tools, and researchers to launch new research programs
ISBN,Price9783319054674
Keyword(s)1. APPLICATION SOFTWARE 2. Applications of Graph Theory and Complex Networks 3. COMPLEX SYSTEMS 4. Computer Appl. in Social and Behavioral Sciences 5. DATA MINING 6. Data Mining and Knowledge Discovery 7. EBOOK 8. EBOOK - SPRINGER 9. Methodology of the Social Sciences 10. PHYSICS 11. SOCIAL SCIENCES 12. SYSTEM THEORY
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35.     
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TitleConflict and Complexity : Countering Terrorism, Insurgency, Ethnic and Regional Violence
Author(s)Fellman, Philip Vos;Bar-Yam, Yaneer;Minai, Ali A
PublicationNew York, NY, Springer New York, 2015.
DescriptionX, 292 p. 68 illus., 57 illus. in color : online resource
Abstract NoteComplexity science affords a number of novel tools for examining terrorism, particularly network analysis and NK-Boolean fitness landscapes as well as other tools drawn from non-linear dynamical systems modeling. This book follows the methodologies of complex adaptive systems research in their application to addressing the problems of terrorism, specifically terrorist networks, their structure and various methods of mapping and interdicting them as well as exploring the complex landscape of network-centric and irregular warfare. A variety of new models and approaches are presented here, including Dynamic Network Analysis, DIME/PMESII models, percolation models and emergent models of insurgency. In addition, the analysis is informed by practical experience, with analytical and policy guidance from authors who have served within the U.S. Department of Defense, the British Ministry of Defence as well as those who have served in a civilian capacity as advisors on terrorism and counter-terrorism
ISBN,Price9781493917051
Keyword(s)1. APPLICATION SOFTWARE 2. Applications of Graph Theory and Complex Networks 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computer Appl. in Social and Behavioral Sciences 6. EBOOK 7. EBOOK - SPRINGER 8. Methodology of the Social Sciences 9. PHYSICS 10. Security Science and Technology 11. SOCIAL SCIENCES 12. System safety
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36.     
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TitleComplexity Perspectives on Language, Communication and Society
Author(s)Massip-Bonet, ??ngels;Bastardas-Boada, Albert
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionXVI, 256 p : online resource
Abstract NoteThe ???language-communication-society??? triangle defies traditional scientific approaches. Rather, it is a phenomenon that calls for an integration of complex, transdisciplinary perspectives, if we are to make any progress in understanding how it works. The highly diverse agents in play are not merely cognitive and/or cultural, but also emotional and behavioural in their specificity. Indeed, the effort may require building a theoretical and methodological body of knowledge that can effectively convey the characteristic properties of phenomena in human terms. New complexity approaches allow us to rethink our limited and mechanistic images of human societies and create more appropriate emo-cognitive dynamic and holistic models. We have to enter into dialogue with the complexity views coming out of other more ???material??? sciences, but we also need to take steps in the linguistic and psycho-sociological fields towards creating perspectives and concepts better fitted to human characteristics. Our understanding of complexity is different ??? but not opposed ??? to the one that is more commonly found in texts written by people working in physics or computer science, for example. The goal of this book is to extend the knowledge of these other more ???human??? or socially oriented perspectives on complexity, taking account of the language and communication singularities of human agents in society. ?? ??
ISBN,Price9783642328176
Keyword(s)1. AUTOMATION 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. MATHEMATICS 7. Mathematics in the Humanities and Social Sciences 8. ROBOTICS 9. Robotics and Automation 10. SOCIAL SCIENCES 11. Sociophysics
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37.     
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TitleViability and Resilience of Complex Systems : Concepts, Methods and Case Studies from Ecology and Society
Author(s)Deffuant, Guillaume;Gilbert, Nigel
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2011.
DescriptionXII, 224 p : online resource
Abstract NoteOne common characteristic of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself. Understanding how such systems demonstrate resilience by absorbing or recovering from major external perturbations requires both quantitative foundations and a multidisciplinary view of the topic. This book demonstrates how new methods can be used to identify the actions favouring the recovery from perturbations on a variety of examples including the dynamics of bacterial biofilms, grassland savannahs, language competition and Internet social networking sites. The reader is taken through an introduction to the idea of resilience and viability and shown the mathematical basis of the techniques used to analyse systems. The idea of individual or agent-based modelling of complex systems is introduced and related to analytically tractable approximations of such models. A set of case studies illustrates the use of the techniques in real applications, and the final section describes how one can use new software tools for carrying out the necessary calculations. The book is intended for a general scientific audience of readers from the natural and social sciences, although it requires some mathematics to gain a full understanding of the more theoretical chapters. It is an essential point of reference for those interested in the practical application of the concepts of resilience and viability
ISBN,Price9783642204234
Keyword(s)1. COMPLEX SYSTEMS 2. COMPUTER SIMULATION 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ECOLOGY 7. Ecology?? 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Methodology of the Social Sciences 11. Simulation and Modeling 12. SOCIAL SCIENCES 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems
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38.     
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TitleWhy Society is a Complex Matter : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s)Ball, Philip
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
Description80 p. 35 illus. in color : online resource
Abstract NoteSociety is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents ??? people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks ??? society can be regarded as a complex system. In recent years, scientists have made great progress in understanding how such complex systems operate, ranging from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emerge spontaneously as a consequence of their interactions: they are said to be ???self-organized???. Attempts to direct or manage such emergent properties generally reveal that ???top-down??? approaches, which try to dictate a particular outcome, are ineffectual, and that what is needed instead is a ???bottom-up??? approach that aims to guide self-organization towards desirable states. This book shows how some of these ideas from the science of complexity can be applied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and structure of cities. Building on these successes, the book argues that the complex-systems view of the social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimately predicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its interactions with the physical environment to be explored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions to major global problems such as conflict, disease, financial instability, environmental despoliation and poverty, while avoiding unintended policy consequences. It could give us the foresight to anticipate and ameliorate crises, and to begin tackling some of the most intractable problems of the twenty-first century
ISBN,Price9783642290008
Keyword(s)1. APPLICATION SOFTWARE 2. COMMUNICATION 3. Communication Studies 4. COMPLEXITY 5. COMPUTATIONAL COMPLEXITY 6. Computer Appl. in Social and Behavioral Sciences 7. Data-driven Science, Modeling and Theory Building 8. EBOOK 9. EBOOK - SPRINGER 10. ECONOMIC POLICY 11. ECONOMICS 12. ECONOPHYSICS 13. Methodology of the Social Sciences 14. Political Economy/Economic Systems 15. SOCIAL SCIENCES 16. Sociophysics
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39.     
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TitleTemporal Patterns of Communication in Social Networks
Author(s)Miritello, Giovanna
PublicationCham, Springer International Publishing, 2013.
DescriptionXIV, 153 p : online resource
Abstract NoteThe main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information
ISBN,Price9783319001104
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMMUNICATION 3. Communication Studies 4. COMPLEX SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. MATHEMATICS 10. Mathematics in the Humanities and Social Sciences 11. PHYSICS 12. SOCIAL SCIENCES 13. SYSTEM THEORY
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40.    
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TitleModels of Science Dynamics : Encounters Between Complexity Theory and Information Sciences
Author(s)Scharnhorst, Andrea;B??rner, Katy;van den Besselaar, Peter
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2012.
DescriptionXXX, 270 p : online resource
Abstract NoteModels of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basic objects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented here cover stochastic and statistical models, game-theoretic approaches, agent-based simulations, population-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizes terminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of future challenges for science modeling and discusses their relevance for science policy and science policy studies
ISBN,Price9783642230684
Keyword(s)1. APPLICATION SOFTWARE 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Information Systems Applications (incl. Internet) 9. Methodology of the Social Sciences 10. SOCIAL SCIENCES 11. Sociophysics
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