Temporal causality of social support in an online community for cancer survivors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society’s Cancer Survivor Network (CSN), a 173,000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is often initiated by a cancer survivor seeking support from other members of CSN. It captures a multi-party conversation that often serves the function of providing social support e.g., by bringing about a change of sentiment from negative to positive on the part of the thread originator. While previous studies regarding cancer survivors have shown that members of OHC derive benefits from their participation in such communities, causal accounts of the factors that contribute to the observed benefits have been lacking. This paper reports results of a study that seeks to address this gap by discovering temporal causality of the dynamics of sentiment change (on the part of the thread originators) in CSN. The resulting accounts offer new insights that the designers, managers and moderators of an online community such as CSN can utilize to facilitate and enhance the interactions so as to better meet the social support needs of the community participants. The proposed methodology also has broad applications in the discovery of temporal causality from big data.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
EditorsKevin Xu, Nitin Agarwal, Nathaniel Osgood
PublisherSpringer Verlag
Pages13-23
Number of pages11
ISBN (Electronic)9783319162676
DOIs
StatePublished - Jan 1 2015
Event8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States
Duration: Mar 31 2015Apr 3 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9021
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
CountryUnited States
CityWashington
Period3/31/154/3/15

Fingerprint

Online Communities
Causality
Cancer
Health
Moderators
Managers
Thread
Community
Big data

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bui, N., Yen, J., & Honavar, V. (2015). Temporal causality of social support in an online community for cancer survivors. In K. Xu, N. Agarwal, & N. Osgood (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings (pp. 13-23). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_2
Bui, Ngot ; Yen, John ; Honavar, Vasant. / Temporal causality of social support in an online community for cancer survivors. Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. editor / Kevin Xu ; Nitin Agarwal ; Nathaniel Osgood. Springer Verlag, 2015. pp. 13-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society’s Cancer Survivor Network (CSN), a 173,000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is often initiated by a cancer survivor seeking support from other members of CSN. It captures a multi-party conversation that often serves the function of providing social support e.g., by bringing about a change of sentiment from negative to positive on the part of the thread originator. While previous studies regarding cancer survivors have shown that members of OHC derive benefits from their participation in such communities, causal accounts of the factors that contribute to the observed benefits have been lacking. This paper reports results of a study that seeks to address this gap by discovering temporal causality of the dynamics of sentiment change (on the part of the thread originators) in CSN. The resulting accounts offer new insights that the designers, managers and moderators of an online community such as CSN can utilize to facilitate and enhance the interactions so as to better meet the social support needs of the community participants. The proposed methodology also has broad applications in the discovery of temporal causality from big data.",
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Bui, N, Yen, J & Honavar, V 2015, Temporal causality of social support in an online community for cancer survivors. in K Xu, N Agarwal & N Osgood (eds), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9021, Springer Verlag, pp. 13-23, 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015, Washington, United States, 3/31/15. https://doi.org/10.1007/978-3-319-16268-3_2

Temporal causality of social support in an online community for cancer survivors. / Bui, Ngot; Yen, John; Honavar, Vasant.

Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. ed. / Kevin Xu; Nitin Agarwal; Nathaniel Osgood. Springer Verlag, 2015. p. 13-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Temporal causality of social support in an online community for cancer survivors

AU - Bui, Ngot

AU - Yen, John

AU - Honavar, Vasant

PY - 2015/1/1

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N2 - Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society’s Cancer Survivor Network (CSN), a 173,000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is often initiated by a cancer survivor seeking support from other members of CSN. It captures a multi-party conversation that often serves the function of providing social support e.g., by bringing about a change of sentiment from negative to positive on the part of the thread originator. While previous studies regarding cancer survivors have shown that members of OHC derive benefits from their participation in such communities, causal accounts of the factors that contribute to the observed benefits have been lacking. This paper reports results of a study that seeks to address this gap by discovering temporal causality of the dynamics of sentiment change (on the part of the thread originators) in CSN. The resulting accounts offer new insights that the designers, managers and moderators of an online community such as CSN can utilize to facilitate and enhance the interactions so as to better meet the social support needs of the community participants. The proposed methodology also has broad applications in the discovery of temporal causality from big data.

AB - Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society’s Cancer Survivor Network (CSN), a 173,000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is often initiated by a cancer survivor seeking support from other members of CSN. It captures a multi-party conversation that often serves the function of providing social support e.g., by bringing about a change of sentiment from negative to positive on the part of the thread originator. While previous studies regarding cancer survivors have shown that members of OHC derive benefits from their participation in such communities, causal accounts of the factors that contribute to the observed benefits have been lacking. This paper reports results of a study that seeks to address this gap by discovering temporal causality of the dynamics of sentiment change (on the part of the thread originators) in CSN. The resulting accounts offer new insights that the designers, managers and moderators of an online community such as CSN can utilize to facilitate and enhance the interactions so as to better meet the social support needs of the community participants. The proposed methodology also has broad applications in the discovery of temporal causality from big data.

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EP - 23

BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings

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PB - Springer Verlag

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Bui N, Yen J, Honavar V. Temporal causality of social support in an online community for cancer survivors. In Xu K, Agarwal N, Osgood N, editors, Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Springer Verlag. 2015. p. 13-23. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-16268-3_2