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Data Mining pp 619-661 | Cite as

Social Network Analysis

  • Charu C. AggarwalEmail author
Chapter

Abstract

The tendency of humans to connect with one another is a deep-rooted social need that precedes the advent of the Web and Internet technologies. In the past, social interactions were achieved through face-to-face contact, postal mail, and telecommunication technologies. The last of these is also relatively recent when compared with the history of mankind. However, the popularization of the Web and Internet technologies has opened up entirely new avenues for enabling the seamless interaction of geographically distributed participants. This extraordinary potential of the Web was observed during its infancy by its visionary founders. However, it required a decade before the true social potential of the Web could be realized. Even today, Web-based social applications continue to evolve and create an ever-increasing amount of data. This data is a treasure trove of information about user preferences, their connections, and their influences on others. Therefore, it is natural to leverage this data for analytical insights.

Keywords

Personalized PageRank Link Prediction Girvan-Newman Algorithm Independent Cascade Model Proximity Prestige 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA

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