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Social Phenomena: From Data Analysis to Models (Computational Social Sciences) pdf offers a fresh look at what would have otherwise been a jaded topic. The author of Social Phenomena: From Data Analysis to Models (Computational Social Sciences) pdf book draws on a vast knowledge bank of insights and experience to execute this work.

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 researchers working on similar problems from different fields and perspectives.

Publisher ‏ : ‎ Springer; 1st ed. 2015 edition (August 26, 2015)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 272 pages
ISBN-10 ‏ : ‎ 3319140108
ISBN-13 ‏ : ‎ 978-3319140100
Item Weight ‏ : ‎ 12.82 pounds
Dimensions ‏ : ‎ 6.18 x 0.81 x 9.53 inches

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