alexa Abstract | MALLET-Privacy Preserving Influencer Mining in Social Media Networks via Hypergraph
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


ABSTRACT: Online Social Media Networks (OSNs) provide an online service for building social relations among users to share interests, images, audios and videos. A social network service represents each user’s social links such as likes, comments, favorites and tags which are very useful for mining social influence. The social links indicate certain influence in the community. The existing system suffers from analyzing the generic influence but ignoring the more important topic-level influence. Since the content of interest is essentially topic-specific, the underlying social influence is topic-sensitive. To address these restrictions develop a Novel Topic-Sensitive Influencer Mining (TSIM) framework in social networks which aims to mine topic-specific influential nodes in the networks and find topical influential users and images. The influence estimation is achieved by using hyper graph learning approach in which the vertices represent users and images, and the edges represent multi-type relations include visual-textual content relations among images, and social link relations between users and images. Social influence mining is used in real applications like friend suggestion, photo recommendation, expert identification and social search. The proposed algorithm provides privacy framework for each user in Social Networks like Flickr.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Janani K, Narmatha S


Hypergraph learning, Influencer mining, Multiparty Access Control, Topic modeling, Topic influence, Topic distribution learning., Otitis Media

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version