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11 Gon??alves, Bruno Social Phenomena I08006 2015 eBook  
12 Bertino, Elisa Roles, Trust, and Reputation in Social Media Knowledge Markets I07794 2015 eBook  
13 Fellman, Philip Vos Conflict and Complexity I07689 2015 eBook  
14 Uden, Lorna The 3rd International Workshop on Intelligent Data Analysis and Management I07089 2013 eBook  
15 Ball, Philip Why Society is a Complex Matter I07060 2012 eBook  
16 Edmonds, Bruce Simulating Social Complexity I05658 2013 eBook  
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11.    
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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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12.     
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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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13.     
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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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14.     
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TitleThe 3rd International Workshop on Intelligent Data Analysis and Management
Author(s)Uden, Lorna;Wang, Leon S.L;Hong, Tzung-Pei;Yang, Hsin-Chang;Ting, I-Hsien
PublicationDordrecht, Springer Netherlands, 2013.
DescriptionX, 132 p : online resource
Abstract NoteThese papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc
ISBN,Price9789400772939
Keyword(s)1. APPLICATION SOFTWARE 2. APPLIED MATHEMATICS 3. ARTIFICIAL INTELLIGENCE 4. BIOINFORMATICS 5. Computational Biology/Bioinformatics 6. Computer Appl. in Social and Behavioral Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. ENGINEERING MATHEMATICS 10. Mathematical and Computational Engineering
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15.     
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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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16.    
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TitleSimulating Social Complexity : A Handbook
Author(s)Edmonds, Bruce;Meyer, Ruth
PublicationBerlin, Heidelberg, Springer Berlin Heidelberg, 2013.
DescriptionVII, 754 p : online resource
Abstract NoteSocial systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. ??Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. ??The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors. ??The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. ??This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged. ??This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ???Why read this chapter???? followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ???Further Reading??? briefly describing three to eight items that a newcomer might read next. ??
ISBN,Price9783540938132
Keyword(s)1. APPLICATION SOFTWARE 2. ARTIFICIAL INTELLIGENCE 3. BEHAVIORAL SCIENCES 4. COMPLEX SYSTEMS 5. Computer Appl. in Social and Behavioral Sciences 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. GAME THEORY 10. Game Theory, Economics, Social and Behav. Sciences 11. SOCIAL SCIENCES 12. Social Sciences, general 13. STATISTICAL PHYSICS
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