Name
Abstract | ||
|---|---|---|
People in different regions or times may have different views and therefore may talk about different sub-topics in a social media. Versatility of a topic in this research refers to the degree to which a topic discussed in a social media covers different points of view or sub-topics. We introduce this notion of versatility for individual topics embedded in Twitter data originated from different regions over time. Uniqueness of a region with respect to a topic is first computed based on how its term distribution differs from those in other regions. Uniqueness values associated with all the regions for a topic are then used to compute its versatility. Since versatility of a topic captures its characteristics across different regions, identifying versatile topics can help understanding regional interests and thus providing region-dependent services. In addition, it becomes possible to identify regions with minority sub-topics, which can be buried easily. By analyzing topic versatility over time, furthermore, we can analyze the behavior of a topic in terms of when it is diverged or converged across the regions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2808797.2809378 | ASONAM |
Keywords | Field | DocType |
topic versatility, spatiotemporal analysis of topics, social network analysis, topic convergence/divergence | Uniqueness,Data mining,World Wide Web,Social media,Computer science,Social network analysis,Market research | Conference |
Citations | PageRank | References |
1 | 0.48 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwan Jang | 1 | 8 | 3.38 |
| Sung-hyon Myaeng | 2 | 802 | 89.18 |