Social Phenomena : From Data Analysis to Models
Softcover reprint of the original 1st ed. 2015
Book Details
Format
Paperback / Softback
Book Series
Computational Social Sciences
ISBN-10
3319349406
ISBN-13
9783319349404
Edition
Softcover reprint of the original 1st ed. 2015
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 22nd, 2016
Print length
260 Pages
Weight
460 grams
Dimensions
23.60 x 15.60 x 1.60 cms
Product Classification:
Cybernetics & systems theoryCybernetics and systems theorySociologySocial research & statisticsSocial research and statisticsGame theoryMathematical / Computational / Theoretical physicsMathematical physicsDigital and Information technology: general topicsInformation technology: general issues
Ksh 16,200.00
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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 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.
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