Different performance measurement metrics have been proposed to evaluate the performance of community detection algorithms, such as modularity, conductance, etc. However, there is few work which makes sense of a community, that is, explain what does the community do, what is the community’s interest. In this paper, we use topic modeling to capture the topics of users in the same community and verify a heuristic community detection algorithm by showing that the users in the communities share strong interests.
CITATION STYLE
Wang, F., & Orton, K. (2017). Community verification with topic modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10251 LNCS, pp. 278–288). Springer Verlag. https://doi.org/10.1007/978-3-319-60033-8_25
Mendeley helps you to discover research relevant for your work.