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Social Computing and User Generated Content potential Pros and Cons: A Review

by Durga Shankar Shukla, Mohammadi Akheela Khanum
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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

@article{ 10.5120/ijca2018918003,
author = { Durga Shankar Shukla, Mohammadi Akheela Khanum },
title = { Social Computing and User Generated Content potential Pros and Cons: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 182 },
number = { 22 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number22/30065-2018918003/ },
doi = { 10.5120/ijca2018918003 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:08.167012+05:30
%A Durga Shankar Shukla
%A Mohammadi Akheela Khanum
%T Social Computing and User Generated Content potential Pros and Cons: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 22
%P 13-17
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
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.

References
  1. Andreas M. Kaplan & Michael Haenlein, Users of the world, unite! The challenges and opportunities of Social Media, Business Horizons 53(1), Jan-Feb 2010, pp. 59-68.
  2. Parameswaran, M., A. Susarla, and A. B. Whinston. (2001). “P2P Networking: An Information-Sharing Alternative,” Computer. (34)7, pp.31 – 38.
  3. Dr. K. Chandra, Md Abdul Muqsit Khan, “Towards Metrics for Social Comuting” Proceedings of World Academy of Science, Engineering and Technology Voloume 37 January 2009 ISSN 2070-3740.
  4. Parameswaran, M., W.B. Andrew, “Research issues in Social Computing” Journal of the Association for Information System Volume 8, Issue 6, Article 1, pp.336-350, June 2007.
  5. A book “Social Network Data Analytics” by Charu C. Agrawal Springer publication.
  6. Khaled A. Hussein “ A Framework for implementing Social Computing in Higher Education in the Gulf States” Ph.D -20113 thesis in School of the Built Environment University of Salford, Manchester, UK
  7. Abramson, A. (2005), Digital Phoenix: Why the Information Economy Collapsed and How It Will Rise Again, Boston: MIT press.
  8. Benkler, Y(2006), The Wealth of Networks: How Social Production Transforms Markets and Freedom, (January 2007) http://www.benkler.org.
  9. F Y Wang and Z Daniel “Social Computing: from Social Informatics to Social Intelligence” published by IEEE Society in April 2007
  10. Berman, F., and H. Brady (2005) “Final Report: NSF SBE-CISE Workshop on Cyber infrastructure and the Social Sciences”, NSF SBE San Diego Supercomputer Center,
  11. T. Berners-Lee et al., “Creating a Science of the Web,” Sciences, vol. 313, no. 11, 2006, pp. 769–771. 27.
  12. R. Popp et al., “Assessing Nation-State Instability and Failure,” Proc. 2006 IEEE Aerospace Conf., CD-ROM, IEEE Press, 2006.
  13. R. Breiger, K. Carley, and P. Pattison, Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers, Nat’l Academies Press, 2003. 29. R. Dai, Science of Social Intelligence, Shanghai Jiao Tong Univ. Press, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Social Computing Social Media Knowledge Extraction Computational Intelligence

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