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Analyzing Behavior of the Influentials across Social Media

Nitin Agarwal, Shamanth Kumar, Huiji Gao, Reza Zafarani, Huan Liu
Book Chapter In Behavior Computing: Modeling, Analysis, Mining and Decision, Springer London, 2012, 2012
Cited by 22 (Google Scholar)
PDF Publisher

Abstract

Studying these behavior patterns of users across different social media sites have many applications. If an individual exhibits same behavior on various social media sites then it can help predict his behavior on other social media websites by studying one social media site. Various social media sites can be clustered based on the behavior patterns of individuals. These clusters can help discover helpful and valuable trends. The activity of individuals can also help in explaining which social media sites are likely to get more activity for various groups of people. These patterns can be also used to explore marketing opportunities, study the movement of individuals on social media sites to focus on niche sites for unique opportunities.

BibTeX 

@incollection{nitin2012analyzing,
  title = {Analyzing Behavior of the Influentials across Social Media},
  author = {Nitin Agarwal and Shamanth Kumar and Huiji Gao and Reza Zafarani and Huan Liu},
  year = {2012},
  keywords = {bookchapter},
  booktitle = {Behavior Computing: Modeling, Analysis, Mining and Decision},
  publisher = {Springer London},
  address = {London},
  editor = {Longbing Cao and Philip S. Yu},
  abstract = {Studying these behavior patterns of users across different social media sites have many applications. If an individual exhibits same behavior on various social media sites then it can help predict his behavior on other social media websites by studying one social media site. Various social media sites can be clustered based on the behavior patterns of individuals. These clusters can help discover helpful and valuable trends. The activity of individuals can also help in explaining which social media sites are likely to get more activity for various groups of people. These patterns can be also used to explore marketing opportunities, study the movement of individuals on social media sites to focus on niche sites for unique opportunities.},
  url = {http://link.springer.com/chapter/10.1007%2F978-1-4471-2969-1_1#page-1},
  pdf = {http://www.public.asu.edu/~hgao16/papers/AgarwalKumarGaoZafaraniLiu-ChapterForBehaviorComputingBook.pdf},
}