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Persistence and periodicity in a dynamic proximity network.
Aaron Clauset,Nathan Eagle +1 more
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It is suggested that dynamic social networks exhibit a natural time scale \Delta_{nat}, and that the best conversion of such dynamic data to a discrete sequence of networks is done at this natural rate.Abstract:
The topology of social networks can be understood as being inherently dynamic, with edges having a distinct position in time. Most characterizations of dynamic networks discretize time by converting temporal information into a sequence of network "snapshots" for further analysis. Here we study a highly resolved data set of a dynamic proximity network of 66 individuals. We show that the topology of this network evolves over a very broad distribution of time scales, that its behavior is characterized by strong periodicities driven by external calendar cycles, and that the conversion of inherently continuous-time data into a sequence of snapshots can produce highly biased estimates of network structure. We suggest that dynamic social networks exhibit a natural time scale \Delta_{nat}, and that the best conversion of such dynamic data to a discrete sequence of networks is done at this natural rate.read more
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Temporal Networks
Petter Holme,Jari Saramäki +1 more
TL;DR: This review presents the emergent field of temporal networks, and discusses methods for analyzing topological and temporal structure and models for elucidating their relation to the behavior of dynamical systems.
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Unique in the Crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye,Yves-Alexandre de Montjoye,César A. Hidalgo,César A. Hidalgo,César A. Hidalgo,Michel Verleysen,Vincent D. Blondel,Vincent D. Blondel +7 more
TL;DR: It is found that in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier's antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals.
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What's in a crowd? Analysis of face-to-face behavioral networks
Lorenzo Isella,Juliette Stehlé,Alain Barrat,Ciro Cattuto,Jean-François Pinton,Wouter Van den Broeck +5 more
TL;DR: Data on the time-resolved face-to-face proximity of individuals in large-scale real-world scenarios is analyzed to investigate the dynamics of a susceptible-infected model for epidemic spreading that unfolds on the dynamical networks of human proximity.
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Dynamics of person-to-person interactions from distributed RFID sensor networks.
Ciro Cattuto,Wouter Van den Broeck,Alain Barrat,Vittoria Colizza,Jean-François Pinton,Alessandro Vespignani +5 more
TL;DR: A scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities is presented and shows an interesting super-linear behavior, which indicates the possibility of defining super-connectors both in the number and intensity of connections.
References
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Book
Social Network Analysis
TL;DR: In this article, the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work, is described and discussed. But it is argued that the analysis of social networks is not a purely static process.
Book
Social Network Analysis: A Handbook
TL;DR: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles and Clusters Dimensions and Displays Appendix Social Network Packages
MonographDOI
What is social network analysis
TL;DR: Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals.
Book
Annual Review of Sociology
W. Richard Scott,James F. Short,Alex Inkeles,James S. Coleman,Neil J. Smelser,Ralph H. Turner,Renée C. Fox,Judith Blake,John Hagan,Karen S. Cook,Douglas S. Massey +10 more
TL;DR: In this paper, the authors present an annual review of sociology book, which is referred for you because it gives not only the experience but also the lesson, and the lessons are very valuable to serve for you.