Name
Abstract | ||
|---|---|---|
Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1587/transinf.E95.D.1539 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
information diffusion process, online social networks, social network services, process mining | Data science,Diffusion process,Social network,Computer science,Knowledge management,Business process discovery,Process mining | Journal |
Volume | Issue | ISSN |
E95D | 5 | 1745-1361 |
Citations | PageRank | References |
2 | 0.41 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwanho Kim | 1 | 361 | 37.49 |
| Jae-Yoon Jung | 2 | 297 | 31.94 |
| Jonghun Park | 3 | 491 | 37.86 |