Name
Abstract | ||
|---|---|---|
Identifying communities and analysing their dynamics in social networks is very important research problem. However, qualitative analysis (taking into account the scale of the problem) still poses serious problems. Several methods for analysis are proposed, but there is missing tool allowing visualisation of dynamics of communities and enabling performing analysis on different levels of details. This paper describes a tool enabling analysis of social group dynamics with taking into account many aspects of groups (contexts). In paper the analysis of group density, sentiment and topic modelling for groups is presented. Presented results are based on real-world data from blogosphere. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s13278-014-0160-1 | Social Netw. Analys. Mining |
Keywords | Field | DocType |
Social networks analysis, Complex networks, Group identification, Group evolution, Dynamics analysis, Graphical analysis | Social group,Social network,Graphical analysis,Visualization,Context based,Computer science,Human–computer interaction,Complex network,Blogosphere,Topic model | Journal |
Volume | Issue | ISSN |
4 | 1 | 1869-5469 |
Citations | PageRank | References |
2 | 0.36 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bogdan Gliwa | 1 | 77 | 8.62 |
| Anna Zygmunt | 2 | 95 | 11.91 |