Machine learning for social network analysis A systemetic literature review

By:

DE, SAGAR S

Material type:

Mixed materialsPublication details: 2013Description: 30-51Subject(s):

NLM classification:

006.3

In: IUP: JOURNAL OF INFORMATION TECHNOLOGYMSummary: The importance of machine learning for social network analysis is realized as an inevitable tool in forthcoming years. This is due to the unprecedented growth of social-related data, boosted by the proliferation of social media websites and embedded heterogeneity and complexity. Alongside the machine learning devices much effort from psychologists to build computational model for solving tasks like recognition, prediction, planning and analysis even in uncertain situations.

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Holdings
Item type	Current library	Call number	Vol info	Status	Date due	Barcode
Periodicals/Magazines	SSCBS Library		8/4	Available		P14782

The importance of machine learning for social network analysis is realized as an inevitable tool in forthcoming years. This is due to the unprecedented growth of social-related data, boosted by the proliferation of social media websites and embedded heterogeneity and complexity. Alongside the machine learning devices much effort from psychologists to build computational model for solving tasks like recognition, prediction, planning and analysis even in uncertain situations.

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