Issues in Mining Techniques in Social Media

Authors(1) :-Jyoti More

Social network has acquired substantial attention in the last few decades. Access to social network sites such as Twitter, Facebook, LinkedIn and Google+ through the internet has become more affordable. Social media are the online platforms that provide a way for people to connect with each other and participate actively in the group conversations. For individuals, it is a mean of communication that helps sharing contents with friends and like-minded people. For businesses, it provides an access to various issues like what people say about their brand, their product and/or service, to know who are the dominating individuals or possible influencers for their new ideas and then use these findings to make better business strategies. The social media also can be exploited for viral marketing to grow the business sprectrum. It is found that there is a growing interest in social networks and people are depending on social networks for information, news and opinion of other users in various fields. The growing trust on social network sites causes people to generate massive data, also called bigdata. It is typically characterised by three computational issues namely; volume, velocity and varosity. These issues in turn make social network data very complex to analyse manually, resulting in the need to use computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules. In this paper we discuss the different issues with social networks, different approaches, issues, current challenges and trends.

Authors and Affiliations

Jyoti More
Department of Computer Engineering, Ramrao Adik Institute of Technology, Mumbai University, Nerul. Navi Mumbai, India

Social Networks, Social Network Analysis, viral marketing, Social Media Mining, privacy preservation

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 408-411
Manuscript Number : CSEIT172357
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jyoti More, "Issues in Mining Techniques in Social Media", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.408-411, May-June-2017.
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