Title: Tracking of experts for enhancement of activities in social network: an analysis of collaborative activity on Wikipedia by applying fuzzy logic
Authors: Goldina Ghosh; Soumya Banerjee
Addresses: Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215, India
Abstract: Experience of previous years helps in future planning and development. The profit and popularity of a social network site can only be enhanced if it can test its present state and predict its future state and then make the necessary changes. This idea was executed in this paper on a popular educational site - Wikipedia. The rate of performance of each contributor of an article was calculated by using fuzzy synthetic method. The total number of votes obtained by each contributor was the other parameter. Both the parameters, helped in calculating the rate of contribution towards an article. To check the level of authenticity of the article the total contribution rate value was compared with a standard threshold value. If the value was less than the threshold value then an expert personal was chosen to guide or enhance the standard of the article by using fuzzy multiobjective decision making technique.
Keywords: collaborative activity; ethnography; fuzzy synthetic method; fuzzy multiobjective decision making; positive count value; negative count value; contribution rate; expert tracking; experts; social networks; collaboration; fuzzy logic; Wikipedia contributors; authenticity level.
International Journal of Advanced Intelligence Paradigms, 2016 Vol.8 No.3, pp.260 - 287
Available online: 04 Jul 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article