NDLI: Predicting User Participation and Detecting User Role Diffusion in Online Health Communities

Content Provider	IEEE Xplore Digital Library
Author	Xi Wang Zhiya Zuo Kang Zhao Street, N.
Copyright Year	2015
Description	Author affiliation: Interdiscipl. Grad. Program in Inf., Univ. of Iowa, Iowa City, IA, USA (Xi Wang; Zhiya Zuo) \|\| Tippie Coll. of Bus., Univ. of Iowa, Iowa City, IA, USA (Kang Zhao; Street, N.)
Abstract	Nowadays, healthcare issues draw people's attention globally. According to the report by the Pew Research Center [1], 35% of U.S. Adults have gone online particularly for information related to medical conditions. Besides getting information from healthcare professionals and friends, 24% of adults also sought information or support from peers who have the same health condition. A major venue where people find such peers is Online Health Communities (OHCs), such as "Patientslikeme.com". Compared with traditional health-related websites that only allow users to retrieve information, OHCs increased members' ability to interact with peers facing similar health problems and, as a result, better meet their needs for social support. Literatures on social support suggest that OHCs mainly feature three types of social support: informational support, emotional support, and companionship (a.k.a., Network support) [2]. As social support is a pillar of OHCs, a natural question to ask would be: when it comes to users' participations, are a user's online activities in different types of social support related to her/his participation in an OHC? If so, can we predict whether a user will churn from an OHC based on these social support activities? Despite the large amount of research on social support in OHCs, few studies have answered this question systematically by examining users' seeking, receiving, and provision of various types of social support from large-scale datasets. In 2012, Wang [3] suggested that receiving more emotional support is associated with users' longer stay in an OHC. However, the types of social support investigated were limited and only the receiving of support was considered, while that providing social support is also important and beneficial. Analyzing large-scale data from an OHC, we combined various data analytics techniques, including text mining, survival analysis, and predictive modelling. We found that receiving more emotional support or contributing more companionship are positively correlated with users' longer involvement in OHCs. Our research described as well as predicted users' participation in OHCs from the perspective of online social support. At the same time, we identified several roles of users in an OHC and suggested that overall those who only seek social support are more likely to leave (i.e., "churn" from) an OHC. By analyzing their monthly behaviors in social support, we found that users' roles evolve over time. Moreover, we also found evidence for the diffusion of roles in the OHC social network -- a user tends to adopt the role that many of her network neighbors take. This is the first study to show that user roles related to social support are in fact "contagious" via social ties. The outcome of this research has implications for building and sustaining an active OHC.
Starting Page	483
Ending Page	483
File Size	90926
Page Count	1
File Format	PDF
e-ISBN	9781467395489
DOI	10.1109/ICHI.2015.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Medical conditions Data analysis Cities and towns Informatics Business
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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