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 #  AuthorTitleAccn#YearItem Type Claims
1 dell'Isola, Francesco Big-(Wo)men, Tyrants, Chiefs, Dictators, Emperors and Presidents I09391 2019 eBook  
2 Traag, Vincent Algorithms and Dynamical Models for Communities and Reputation in Social Networks I08012 2014 eBook  
3 Holme, Petter Temporal Networks I07999 2013 eBook  
4 Massip-Bonet, ??ngels Complexity Perspectives on Language, Communication and Society I07610 2013 eBook  
5 Miritello, Giovanna Temporal Patterns of Communication in Social Networks I06996 2013 eBook  
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TitleBig-(Wo)men, Tyrants, Chiefs, Dictators, Emperors and Presidents : Towards the Mathematical Understanding of Social Groups
Author(s)dell'Isola, Francesco
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2019.
DescriptionXXI, 164 p. 2 illus., 1 illus. in color : online resource
Abstract NoteThis book highlights mathematical ideas to help explain a number of important aspects of the dynamics of social groups. These ideas are similar to those used to describe the behaviour of Lagrangian mechanical systems, and as such this book appeals to anyone wanting to gain an understanding of the intrinsic unity of natural phenomena
ISBN,Price9789811394799
Keyword(s)1. Computational Social Sciences 2. EBOOK 3. EBOOK - SPRINGER 4. MATHEMATICS 5. Mathematics in the Humanities and Social Sciences 6. Popular Science in Mathematics 7. Science???Social aspects 8. SOCIAL SCIENCES 9. Social sciences???Computer programs 10. Social sciences???Data processing 11. Societal Aspects of Physics, Outreach and Education
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TitleAlgorithms and Dynamical Models for Communities and Reputation in Social Networks
Author(s)Traag, Vincent
PublicationCham, 1. Imprint: Springer 2. 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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3.     
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TitleTemporal Networks
Author(s)Holme, Petter;Saram??ki, Jari
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. 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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TitleComplexity Perspectives on Language, Communication and Society
Author(s)Massip-Bonet, ??ngels;Bastardas-Boada, Albert
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. 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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TitleTemporal Patterns of Communication in Social Networks
Author(s)Miritello, Giovanna
PublicationCham, 1. Imprint: Springer 2. 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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