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Social Computing and User Generated Content potential Pros and Cons: A Review
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 22 |
| Year of Publication: 2018 |
| Authors: Durga Shankar Shukla, Mohammadi Akheela Khanum |
10.5120/ijca2018918003
|
Durga Shankar Shukla, Mohammadi Akheela Khanum . Social Computing and User Generated Content potential Pros and Cons: A Review. International Journal of Computer Applications. 182, 22 ( Oct 2018), 13-17. DOI=10.5120/ijca2018918003
Abstract
Social Computing has gained multidisplinary key research areas from academicians to professionals and to researchers. In couple of past decades several implementations, framework and research theories had been proposed and justified in such regards. Moreover Knowledge Extraction (KE) is a trending and emerging domain that addresses various proven techniques for extracting knowledge out of heavy and resilient social data. In this paper we have presented our literature review for novel approach of data intensive social computing for the purpose of knowledge extraction in social ties. Social Computing is a trending fuzzy term that act as a super set of Social Network Analysis, crowd management, crowd sourcing and many more. And as bigger population in involved in social computing therefore it becomes very crucial to cater overall monitoring functionality on such huge user generated data.
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