Journal article
Leader identification in an online health community for cancer survivors: a social network-based classification approach
Information systems and e-business management, Vol.13(4), pp.629-645
11/2015
DOI: 10.1007/s10257-014-0260-5
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.
Details
- Title: Subtitle
- Leader identification in an online health community for cancer survivors: a social network-based classification approach
- Creators
- Kang Zhao - Department of Management Sciences, Tippie College of Business The University of Iowa S224 PBB Iowa City IA 52242 USAGreta Greer - American Cancer Society Atlanta GA 30303 USAJohn Yen - College of Information Sciences and Technology Penn State University University Park PA 16802 USAPrasenjit Mitra - College of Information Sciences and Technology Penn State University University Park PA 16802 USAKenneth Portier - American Cancer Society Atlanta GA 30303 USA
- Resource Type
- Journal article
- Publication Details
- Information systems and e-business management, Vol.13(4), pp.629-645
- Publisher
- Springer Berlin Heidelberg
- DOI
- 10.1007/s10257-014-0260-5
- ISSN
- 1617-9846
- eISSN
- 1617-9854
- Language
- English
- Date published
- 11/2015
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083253102771
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