ENGLISH

Predicting Real World Behaviors from Virtual World Data

By Jaideep Srivastava , Noshir Contractor (eds.) , Muhammad Aurangzeb Ahmad , Cuihua Shen

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-07141-1, 978-3-319-07142-8
DOI
10.1007/978-3-319-07142-8
Language
english
Format
PDF
Filesize
3 MB (3240531 bytes)
Series
Springer Proceedings in Complexity
Edition
1
Pages
118\127
Time added
2014-11-10 20:00:00
Computer Appl. in Social and Behavioral Sciences;Population and Evolutionary Models; Methodology of

Description

There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has aided in discovering interesting insights with respect to how people behave in these virtual environments. The book addresses prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa. Each chapter will focus on a different aspect of virtual worlds to real world prediction e.g., demographics, personality, location, etc.

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