Mental disorder recovery correlated with centralities and interactions on an online social network

Xinpei Ma, Hiroki Sayama

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Recent research has established both a theoretical basis and strong empirical evidence that effective social behavior plays a beneficial role in the maintenance of physical and psychological well-being of people. To test whether social behavior and well-being are also associated in online communities, we studied the correlations between the recovery of patients with mental disorders and their behaviors in online social media. As the source of the data related to the social behavior and progress of mental recovery, we used PatientsLikeMe (PLM), the world's first open-participation research platformfor the development of patient-centered health outcome measures. We first constructed an online social network structure based on patient-to-patient ties among 200 patients obtained from PLM. We then characterized patients' online social activities by measuring the numbers of "posts and views" and "helpful marks" each patient obtained. The patients' recovery data were obtained from their self-reported status information that was also available on PLM. We found that some node properties (in-degree, eigenvector centrality and PageRank) and the two online social activity measures were significantly correlated with patients' recovery. Furthermore, we re-collected the patients' recovery data two months after the first data collection. We found significant correlations between the patients' social behaviors and the second recovery data, which were collected two months apart. Our results indicated that social interactions in online communities such as PLM were significantly associated with the current and future recoveries of patients with mental disorders.

Original languageEnglish
Article number1163
JournalPeerJ
Volume2015
Issue number8
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

behavior disorders
social networks
Mental Disorders
Social Support
Recovery
Social Behavior
social behavior
Eigenvalues and eigenfunctions
Social Media
Health
Information Storage and Retrieval
Interpersonal Relations
Research
developed countries
Maintenance

Keywords

  • Mental disorder
  • Non-drug treatments
  • Patient-to-patient network
  • PatientsLikeMe
  • Social media
  • Social network

ASJC Scopus subject areas

  • Neuroscience(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Mental disorder recovery correlated with centralities and interactions on an online social network. / Ma, Xinpei; Sayama, Hiroki.

In: PeerJ, Vol. 2015, No. 8, 1163, 2015.

Research output: Contribution to journalArticle

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