| dc.contributor | 統計系 | zh_Tw |
| dc.creator (作者) | Wang, Tai-Chi | en_US |
| dc.creator (作者) | Phoa, Frederick Kin Hing | en_US |
| dc.creator (作者) | Hsu, Tun-Chieh | en_US |
| dc.date (日期) | 2015-01 | en_US |
| dc.date.accessioned | 8-Aug-2017 16:38:52 (UTC+8) | - |
| dc.date.available | 8-Aug-2017 16:38:52 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-Aug-2017 16:38:52 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/111666 | - |
| dc.description.abstract (摘要) | Community detection has drawn significant attention as new media generates big data every day. To provide statistical testing procedures for community detection in social networks, a scanning method has been developed based on the likelihood of Poisson random graph. However, the scan statistics did not consider detecting communities of the attributes with power-law distribution. Power-law distribution, generally followed by network attributes, is conspicuous in many scientific situations. This paper aims at extending the scanning method to analyze a social network in which attributes follow power-law distribution. Besides the theoretical construction, simulation studies are performed to verify the feasibility of the proposed method, and an authorship network is used to demonstrate the proposed method. © 2015, Springer-Verlag Wien. | en_US |
| dc.format.extent | 209 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Social Network Analysis and Mining, 5(1), 1-10 | en_US |
| dc.title (題名) | Power-law distributions of attributes in community detection | en_US |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1007/s13278-015-0283-z | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s13278-015-0283-z | |
