International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,March 2017,

Topic : Methods of Identification of Leaders and Followers in Online Social Networks - A Survey

Authors:Rajeshri Puranik || Sharad Pokley

Abstract:Now a day's Social Network has a great influence on our lives. Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user’s influence on others—a concept that is crucial in sociology and viral marketing. Identifying leaders and followers in online social networks is important for various applications in many domains such as advertisement, community health campaigns, administrative science, and even politics. Here we study the role of actors and a set of relations between actors i.e. leaders and followers, and there relations. For our study purpose we have selected two well-known popular SNS(Social Networking Sites) face book and twitter. Also discussed different methods, (LUCI Model, Leader Rank Approach, Binary Approach , Integrated Text Mining Model , Content based Metrics and Social Network Metrics Based Approach) for the identification of leaders and followers.

Keywords: Directed Links, Influence, Network Coefficient, Social Actors, Social Network

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DOI: 01.1617/vol4/iss3/pid37495


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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