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Social Phenomena

Name: Social Phenomena
Brand: Springer International Publishing AG
SKU: 9783319140100
Price: 116.81 EUR
Availability: InStock

From Data Analysis to Models

Автор: Bruno Gonçalves, Nicola Perra

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Налично при издателя, по поръчка

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116.81 € 228.45 лв

This book focuses on the new possibilities and approaches to social modeling currently being made po...

Информация за книгата

Автор

Bruno Gonçalves, Nicola Perra

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2015

страници

260

EAN

9783319140100

ISBN

3319140108

Enbook ID

09094830

Издател

Springer International Publishing AG

Теглоt

646

Размери

244 x 164 x 23

Пълно описание

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.

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Social Phenomena

From Data Analysis to Models

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