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Network Data Mining And Analysis (East China Normal University Scientific Reports)

By: David Lo (Author) , Ee-peng Lim (Author) , Ming Gao (Author)

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Ksh 21,400.00

Format: Hardback or Cased Book

ISBN-10: 9813274956

ISBN-13: 9789813274952

Collection / Series: East China Normal University Scientific Reports

Collection Type: Publisher collection

Publisher: World Scientific Publishing Co Pte Ltd

Imprint: World Scientific Publishing Co Pte Ltd

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 20th, 2018

Publication Status: Active

Product extent: 204 Pages

Weight: 516.00 grams

Dimensions (height x width x thickness): 15.90 x 23.60 x 2.10 cms

Product Classification / Subject(s): Data capture & analysis
Data mining

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Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:

 

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.

To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:

  • What are social communities in bipartite graphs and signed graphs?
  • How robust are the networks? How can we apply the robustness of networks?
  • How can we find identical social users across heterogeneous social networks?

Social media shatters the boundaries between the real world and the virtual world. We can now integrate social theories with computational methods to study how individuals interact with each other and how social communities form in bipartite and signed networks. The uniqueness of social media data calls for novel data mining techniques that can effectively handle user generated content with rich social relations. The study and development of these new techniques are under the purview of social media mining, an emerging discipline under the umbrella of data mining. Social Media Mining is the process of representing, analyzing, and extracting actionable patterns from social media data.


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