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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhao, Kang Greer, Greta E. Yen, John Mitra, Prasenjit Portier, Kenneth |
| Copyright Year | 2014 |
| Abstract | Online health communities (OHCs) are an important source of social support for cancer survivors and their informal caregivers. This research attempted to identify leaders in a popular online forum for cancer survivors and caregivers using classification techniques. We first extracted user features from many different perspectives, including contributions, network centralities, and linguistic features. Based on these features, we leveraged the structure of the social network among users and generated new neighborhood-based and cluster-based features. Classification results revealed that these features are discriminative for leader identification. Using these features, we developed a hybrid approach based on an ensemble classifier that performs better than many traditional metrics. This research has implications for understanding and managing OHCs. |
| Starting Page | 629 |
| Ending Page | 645 |
| Page Count | 17 |
| File Format | |
| ISSN | 16179846 |
| Journal | Information Systems and e-Business Management |
| Volume Number | 13 |
| Issue Number | 4 |
| e-ISSN | 16179854 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-09-16 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Online health community Leader identification Classification Social network Clustering IT in Business Information Systems Applications (incl. Internet) Management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems |
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