Abstract
Online communities are an important source of social support for cancer survivors and their informal caregivers. This research attempts to identify leaders in a popular online forum for cancer survivors and caregivers using classification techniques. We extracted user features from many different perspectives, including user-contribution, network, and semantic features. Based on these features, we further utilized the structure of the 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 important implications for understanding and managing similar online communities.
Original language | English (US) |
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Title of host publication | Proceedings - 21st Workshop on Information Technologies and Systems, WITS 2011 |
Publisher | Jindal School of Management, JSOM |
Pages | 115-120 |
Number of pages | 6 |
State | Published - 2011 |
Event | 21st Workshop on Information Technologies and Systems, WITS 2011 - Shanghai, China Duration: Dec 3 2011 → Dec 4 2011 |
Other
Other | 21st Workshop on Information Technologies and Systems, WITS 2011 |
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Country/Territory | China |
City | Shanghai |
Period | 12/3/11 → 12/4/11 |
All Science Journal Classification (ASJC) codes
- Information Systems