Publications-Periodical Articles
Article View/Open
Publication Export
Google ScholarTM
NCCU Library
Citation Infomation
-
No data in Web of Science(Wrong one)Loading...
Related Publications in TAIR
| Title | Discovering Leaders from Social Network by Action Cascade |
| Creator | Tsai, Ming-Feng ; Tzeng, Chih-Wei ; Lin, Zhe-Li ; Chen, Arbee L. P. 蔡銘峰 |
| Contributor | 資科系 |
| Key Words | Social Network Analysis; Path Mining; Opinion Leader Discovery |
| Date | 2014 |
| Date Issued | 21-Mar-2014 17:46:46 (UTC+8) |
| Summary | This paper proposes an approach to discovering community leaders in social network by means of a probabilistic time-based graph propagation model. To conduct the approach, we define an exponential decay function for influence as a function of time, and build action-specific influence chains by multiplying path propagation values; then, we create general influence chains by normalizing over all possible actions. In the study, our approach identifies community leaders as those people whose initiated influence chains are relatively more than the chains they involved. In our experiments, a small Facebook network dataset with 134 nodes and 517 edges is employed to assess the performance of the proposed method. In addition, several baselines are also carried out for comparison, including three naive and one user-involved approaches. The experimental results show that, compared with the baselines, the proposed method can effectively identify community leaders within the social network, achieving 0.8 in terms of F-measure. |
| Relation | Social Network Analysis and Mining,Proceedings of the Fifth Workshop on Social Network Systems |
| Type | article |
| DOI | http://dx.doi.org/10.1145/2181176.2181188 |
| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | Tsai, Ming-Feng ; Tzeng, Chih-Wei ; Lin, Zhe-Li ; Chen, Arbee L. P. | en_US |
| dc.creator (作者) | 蔡銘峰 | zh_TW |
| dc.date (日期) | 2014 | en_US |
| dc.date.accessioned | 21-Mar-2014 17:46:46 (UTC+8) | - |
| dc.date.available | 21-Mar-2014 17:46:46 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Mar-2014 17:46:46 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/64820 | - |
| dc.description.abstract (摘要) | This paper proposes an approach to discovering community leaders in social network by means of a probabilistic time-based graph propagation model. To conduct the approach, we define an exponential decay function for influence as a function of time, and build action-specific influence chains by multiplying path propagation values; then, we create general influence chains by normalizing over all possible actions. In the study, our approach identifies community leaders as those people whose initiated influence chains are relatively more than the chains they involved. In our experiments, a small Facebook network dataset with 134 nodes and 517 edges is employed to assess the performance of the proposed method. In addition, several baselines are also carried out for comparison, including three naive and one user-involved approaches. The experimental results show that, compared with the baselines, the proposed method can effectively identify community leaders within the social network, achieving 0.8 in terms of F-measure. | en_US |
| dc.format.extent | 615036 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Social Network Analysis and Mining,Proceedings of the Fifth Workshop on Social Network Systems | en_US |
| dc.subject (關鍵詞) | Social Network Analysis; Path Mining; Opinion Leader Discovery | - |
| dc.title (題名) | Discovering Leaders from Social Network by Action Cascade | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1145/2181176.2181188 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1145/2181176.2181188 | en_US |