ABSTRACT
Extracting information from large collections of structured, semi-structured or even unstructured data can be a considerable challenge when much of the hidden information is implicit within relationships among entities within the data. Social networks are such data collections in which relationships play a vital role in the knowledge these networks can convey. A bibliographic database is an essential tool for the research community, yet finding and making use of relationships comprised within such a social network is difficult. In this paper we introduce DBconnect, a prototype that exploits the social network coded within the DBLP database by drawing on a new random walk approach to reveal interesting knowledge about the research community and even recommend collaborations.
- Sergey Brin and Lawrence Page. The anatomy of a large-scale hypertextual web search engine. In Seventh International World Wide Web Conference, pages 107--117, Brisbane, Australia, 1998. Google ScholarDigital Library
- DBLP Bibliography database. http://www.informatik.uni-trier.de/~ley/db/.Google Scholar
- AnHai Doan, Raghu Ramakrishnan, Fei Chen, Pedro DeRose, Yoonkyong Lee, Robert McCann, Mayssam Sayyadian, and Warren Shen. Community information management. IEEE Data Engineering Bulletin, Special Issue on Probabilistic Databases, 29(1), 2006.Google Scholar
- Michelle Girvan and M. E. J. Newman. Community structure in social and biological networks. In Proceedings of the National Academy of Science USA, 99:8271-8276, 2002.Google ScholarCross Ref
- Taher H. Haveliwala. Topic-sensitive pagerank. In WWW: Proceedings of the 11th international conference on World Wide Web, pages 517--526, 2002. Google ScholarDigital Library
- Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Manifold-ranking based image retrieval. In MULTIMEDIA: Proceedings of the 12th annual ACM international conference on Multimedia, pages 9--16, 2004. Google ScholarDigital Library
- P. Holme, M. Huss, and H. Jeong. Subnetwork hierarchies of biochemical pathways. Bioinformatics, 19:532--538, 2003.Google ScholarCross Ref
- Glen Jeh and Jennifer Widom. Simrank: a measure of structural-context similarity. In KDD, 2002. Google ScholarDigital Library
- George Karypis and Vipin Kumar. Multilevel k-way partitioning scheme for irregular graphs. Journal of Parallel and Distriuted Computing, 48(1):96--129, 1998. Google ScholarDigital Library
- B. W. Kernighan and S. Lin. An efficient heuristic procedure for partitioning graphs. Bell System Technical Journal, 49:291--307, 1970.Google ScholarCross Ref
- Stefan Klink, Patrick Reuther, Alexander Weber, Bernd Walter, and Michael Ley. Analysing social networks within bibliographical data. In DEXA, pages 234--243, 2006. Google ScholarDigital Library
- Michael Ley. The DBLP computer science bibliography: Evolution, research issues, perspectives. In SPIRE, pages 1--10, 2002. Google ScholarDigital Library
- Sillvio Cesar Cazella and Luis Otavio Campos Alvares. An architecture based on multi-agent system and data mining for recommending research papers and researchers. In Proc. of the 18th International Conference on Software Engineering and Knowledge Engineering (SEKE), pages 67--72, 2006.Google Scholar
- Mario A. Nascimento, Joorg Sander, and Jeffrey Pound. Analysis of sigmod's co-authorship graph. SIGMOD Record, 32(2):57--58, 2003. Google ScholarDigital Library
- M. E. J. Newman. The structure and function of complex networks. SIAM Review, 45(2):167--256, 2003.Google ScholarDigital Library
- Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. The pagerank citation ranking: Bringing order to the web. In Technical report, Stanford University Database Group, 1998.Google Scholar
- Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, and Pinar Duygulu. Automatic multimedia cross-modal correlation discovery. In KDD, pages 653--658, 2004. Google ScholarDigital Library
- A. Pothen, H. Simon, and K. P. Liou. Partitioning sparse matrices with eigenvectors of graphs. SIAM J. Matrix Anal. Appl., 11:430--452, 1990. Google ScholarDigital Library
- Filippo Radicchi, Claudio Castellano, Federico Cecconi, Vittorio Loreto, and Domenico Parisi. Defining and identifying communities in networks. PROC.NATL.ACAD.SCI.USA, 101:2658, 2004.Google ScholarCross Ref
- A. F. Smeaton, G. Keogh, C. Gurrin, K. McDonald, and T. Sodring. Analysis of papers from twenty-five years of sigir conferences: What have we been doing for the last quarter of a century. SIGIR Forum, 36(2):39--43, 2002. Google ScholarDigital Library
- Gilbert Strang. Introduction to linear algebra, Wellesley-Cambridge Press, 3 Edition, 1998.Google Scholar
- Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, and Christos Faloutsos. Neighborhood formation and anomaly detection in bipartite graphs. In ICDM, pages 418--425, 2005. Google ScholarDigital Library
- Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan. Fast random walk with restart and its applications. In ICDM, pages 613--622, 2006. Google ScholarDigital Library
- Joshua R. Tyler, Dennis M. Wilkinson, and Bernardo A. Huberman. Email as spectroscopy: automated discovery of community structure within organizations. Communities and technologies, pages 81--96, 2003. Google ScholarDigital Library
- S. Wasserman and K. Faust. Social network analysis: Methods and applications, Cambridge University Press, 1994.Google ScholarCross Ref
- DBconnect: mining research community on DBLP data
Recommendations
Uses and gratifications of social networking sites for bridging and bonding social capital
Applying uses and gratifications theory (UGT) and social capital theory, our study examined users of four social networking sites (SNSs) (Facebook, Twitter, Instagram, and Snapchat), and their influence on online bridging and bonding social capital. ...
"Welcome!": social and psychological predictors of volunteer socializers in online communities
CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative workVolunteer socializers are members of a community who voluntarily help newcomers become familiar with the popular practices and attitudes of the community. In this paper, we explore the social and psychological predictors of volunteer socializers on ...
Comments