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Social network data analytics

Contributor(s): Aggarwal, Charu C [Editor].
Material type: materialTypeLabelBookPublisher: New York Springer 2011Description: xiv, 502 p.ISBN: 9781441984616.Subject(s): Data mining | Online social networksDDC classification: 006.754 Summary: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. (http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-1-4419-8461-6)
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data
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Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. (http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-1-4419-8461-6)

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