Social Phenomena From Data Analysis to Models

Social Phenomena From Data Analysis to Models / edited by Bruno Gonçalves, Nicola Perra.

This 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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Gonçalves, Bruno (Editor), Perra, Nicola (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Computational Social Sciences,
Springer eBook Collection.
Subjects:
Sociophysics.
Econophysics.
Application software.
Social sciences.
Game theory.
Physics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Part I – Social Behavior under normal conditions
  • Human mobility
  • Face-to-face interactions
  • Collaboration networks
  • Online interactions
  • Human behavior in financial markets
  • Social Contagion
  • Modeling and predicting human infectious diseases
  • Part II – Social Behavior under stress
  • Behavioral changes and adaptation induced by epidemics
  • Uncovering criminal behavior with computational tools
  • Crowd behavior
  • Modeling terroristic escalations and warfare
  • Discussion and Conclusion.

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