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Social Phenomena

From Data Analysis to Models

  • Book
  • © 2015

Overview

Editors:
  1. Bruno Gonçalves

    1. Centre de Physique Théorique, Aix-Marseille Université Campus de Luminy, Case 907, Marseille, France

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  2. Nicola Perra

    1. MoBS Lab, Northeastern University, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Features the most important recent results in computational social science
  • Contains both empirical and theoretical state-of-the-art approaches to social phenomena
  • Fosters discussion among practitioners of diverse fields from physics to computer science to the social sciences
  • Provides not only a study of social behavior under day-to-day conditions but also behavioral changes and social adaptations to extraordinary and stressful situations

Part of the book series: Computational Social Sciences (CSS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Bruno Gonçalves, Nicola Perra
    Pages 1-12

  3. Social Behavior Under Normal Conditions

    1. Front Matter

      Pages 13-13
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    2. Modeling and Understanding Intrinsic Characteristics of Human Mobility

      • Jameson L. Toole, Yves-Alexandre de Montjoye, Marta C. González, Alex (Sandy) Pentland
      Pages 15-35

    3. Face-to-Face Interactions

      • Alain Barrat, Ciro Cattuto
      Pages 37-57

    4. Modeling and Predicting Human Infectious Diseases

      • Nicola Perra, Bruno Gonçalves
      Pages 59-83

    5. Early Signs of Financial Market Moves Reflected by Google Searches

      • Tobias Preis, Helen Susannah Moat
      Pages 85-97

    6. Online Interactions

      • Lilian Weng, Filippo Menczer, Alessandro Flammini
      Pages 99-116

    7. The Contagion of Prosocial Behavior and the Emergence of Voluntary-Contribution Communities

      • Milena Tsvetkova, Michael Macy
      Pages 117-134

    8. Understanding the Scientific Enterprise: Citation Analysis, Data and Modeling

      • Filippo Radicchi, Claudio Castellano
      Pages 135-151

  4. Social Behavior Under Stress

    1. Front Matter

      Pages 153-153
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    2. Behavioral Changes and Adaptation Induced by Epidemics

      • Piero Poletti, Marco Ajelli, Stefano Merler
      Pages 155-175

    3. Uncovering Criminal Behavior with Computational Tools

      • Emilio Ferrara, Salvatore Catanese, Giacomo Fiumara
      Pages 177-207

    4. Modeling Human Conflict and Terrorism Across Geographic Scales

      • Neil F. Johnson, Elvira Maria Restrepo, Daniela E. Johnson
      Pages 209-233

    5. Event-Related Crowd Activities on Social Media

      • Yu-Ru Lin
      Pages 235-250

  5. Back Matter

    Pages 251-260
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Keywords

About this book

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 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 asdiverse 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.

Reviews

“As a collection of state-of-the-art summaries and several interesting applications, it could easily form the foundation of multidisciplinary conversations on the future of big data and modeling and simulation to advance understanding of social phenomena. Social Phenomena would serve as a solid starting point for those researchers interested in delving into the increasingly large, available datasets to enhance their models.” (Erika Frydenlund, JASSS The Journal of Artificial Societies and Social Simulation, Vol. 19 (2), March, 2016)

“This book is essentially a reference book on data analysis and models. It does a superb job in this domain.” (M. M. Tanik, Computing Reviews, January, 2016)

Editors and Affiliations

  • Centre de Physique Théorique, Aix-Marseille Université Campus de Luminy, Case 907, Marseille, France

    Bruno Gonçalves

  • MoBS Lab, Northeastern University, Boston, USA

    Nicola Perra

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