Can I read Social Phenomena: From Data Analysis to Models (Computational Social Sciences) on EtoBox?

Social Phenomena: From Data Analysis to Models (Computational Social Sciences) by Bruno Gonçalves, Nicola Perra (eds.) is a nonfiction available to read on EtoBox.

What is Social Phenomena: From Data Analysis to Models (Computational Social Sciences) about?

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 as diverse 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

Who reads Social Phenomena: From Data Analysis to Models (Computational Social Sciences)?

Author

Bruno Gonçalves, Nicola Perra (eds.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2015

Language

EN

ISBN

9783319349404

Category

nonfiction

Subjects

Business, Science, Sociology