Name
Abstract | ||
|---|---|---|
Data reflecting social and business relations has often form of network of connections between entities (called social network). In such network important and influential users can be identified as well as groups of strongly connected users. Finding such groups and observing their evolution becomes an increasingly important research problem. One of the significant problems is to develop method incorporating not only information about connections between entities but also information obtained from text written by the users. Method presented in this paper combine social network analysis and text mining in order to understand groups evolution. |
Year | Venue | Keywords |
|---|---|---|
2013 | Computer Science and Information Systems | social networking (online),text analysis,blogosphere,business relations,groups evolution,social groups,social network analysis,text analysis,text mining |
Field | DocType | Volume |
Social group,Data science,Co-occurrence networks,Organizational network analysis,Data mining,World Wide Web,Social network,Computer science,Social network analysis,Blogosphere,Strongly connected component,Business relations | Conference | abs/1308.4999 |
ISSN | Citations | PageRank |
2325-0348 | 3 | 0.44 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bogdan Gliwa | 1 | 77 | 8.62 |
| Anna Zygmunt | 2 | 95 | 11.91 |
| Stanislaw Podgórski | 3 | 3 | 0.44 |