000 | nam a22 7a 4500 | ||
---|---|---|---|
999 |
_c39188 _d39188 |
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008 | 190313b2016 xxu||||| |||| 00| 0 eng d | ||
020 | _a9781107438750 | ||
082 | _a302.3028 DIC-M | ||
100 | _aDickison, Mark E. | ||
245 |
_aMultilayer social networks / _cMark E. Dickison, Matteo Magnani and Luca Rossi |
||
260 |
_aUnited Kingdom _bCambridge University Press _c2016 |
||
300 | _a203 p. | ||
365 |
_aGBP _b26.99. |
||
500 | _aMultilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field. | ||
650 | _aSocial networks--Mathematical models | ||
650 | _aSocial sciences--Network analysis | ||
700 | _aMagnani, Matteo | ||
700 | _aRossi, Luca |