LikeMiner: A system for mining the power of'like'in social media networks

Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media is becoming increasingly ubiquitous and popular on the Internet. Due to the huge popularity of social media websites, such as Facebook, Twitter, YouTube and Flickr, many companies or public figures are now active in maintaining pages on those websites to interact with online users, attracting a large number of fans/followers by posting interesting objects, e.g., (product) photos/videos and text messages.'Like'has now become a very popular social function by allowing users to express their like of certain objects. It provides an accurate way of estimating user interests and an effective way of sharing/promoting information in social media. In this demo, we propose a system called LikeMiner to mine the power of'like'in social media networks. We introduce a heterogeneous network model for social media with'likes', and propose'like'mining algorithms to estimate representativeness and influence of objects. The implemented prototype system demonstrates the effectiveness of the proposed approach using the large scale Facebook data.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11
Pages753-756
Number of pages4
DOIs
StatePublished - Sep 16 2011
Event17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11 - San Diego, CA, United States
Duration: Aug 21 2011Aug 24 2011

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Other

Other17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11
CountryUnited States
CitySan Diego, CA
Period8/21/118/24/11

Keywords

  • Data mining
  • Influence analysis
  • Information network
  • Like
  • Ranking
  • Recommendation
  • Social media

ASJC Scopus subject areas

  • Software
  • Information Systems

Fingerprint Dive into the research topics of 'LikeMiner: A system for mining the power of'like'in social media networks'. Together they form a unique fingerprint.

  • Cite this

    Jin, X., Wang, C., Luo, J., Yu, X., & Han, J. (2011). LikeMiner: A system for mining the power of'like'in social media networks. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11 (pp. 753-756). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). https://doi.org/10.1145/2020408.2020528