An Open Source Framework for PRTF Protocol
Ashok Bhansali1, H.R. Sharma2
1Roli Pradhan, Department of Management Studies, MANIT, Bhopal, (MP), India.
2Prof. K. K. Pathak, Scientist E ,AMPRI, Bhopal, (MP), India.
3Prof. V.P. Singh , Director Sagar Institute, Bhopal, (MP), India.
Manuscript received on April 25, 2011. | Revised Manuscript received on May 02, 2011. | Manuscript published on May 05, 2011. | PP: 46-52 | Volume-1 Issue-2, May 2011. | Retrieval Number: A039051211
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social networking websites contain vast amount of data inside them. Volume of data is enormous and growing at a very fast rate. Social network data can be classified in three major categories – user profile data, user communication data and group communication data. Data mining can be applied effectively to discover the knowledge and to extract the useful patterns from this gigantic data set, which is called as the social network mining. Person Related to a Field (PRTF) is a protocol to mine the information across all the social networking data, in general, and use the extracted pattern to search an expert in particular. It also proposes the mechanism to rank the searched experts. In this paper we propose an open source implementation of the PRTF (Person related to a Field) protocol. Using this proposed framework, apart from expert identification, number of useful patterns can be discovered from social networking data. The proposed framework is implemented using open source technologies and is explained with the help of an illustrative example.
Keywords: Social network mining, data mining, expert finding, PRTF.