Evidence map›Paper›PMID 29942549›Full record

ArticleDigital health

A social network analysis of supportive interactions on prenatal sites.

Heather J Hether, Sheila T Murphy, Thomas W Valente

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Relational Approach to the Design for Peer Support.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. Review
  8. A Social Network Analysis of Cancer Provider Collaboration.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Heather J HetherDepartment of Communication, University of the Pacific, CA, USA.
Sheila T MurphyAnnenberg School for Communication and Journalism, University of Southern California, CA, USA.
Thomas W ValenteInstitute for Prevention Research, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this exploratory study was to validate and extend previous research on social support by identifying which dimensions of social support are most commonly exchanged on health-related social networking sites and how social network structure varies with each support dimension exchanged.

methodsThis research applies a multiple case study approach by examining two social networking sites that focus on pregnancy and prenatal health. For one month, support seeking and providing messages were content analyzed and a social network analysis examined the connections between members.

resultsThe sample size consisted of 525 support-seeking messages and 1965 support-providing messages. Findings indicate that participants requested informational and emotional support more than esteem and network support, with no requests for tangible support. Findings also suggest participants substituted emotional support for informational support when they were unable to provide the information sought. The social network analysis showed that network structure varied across support dimensions, with the informational and emotional support networks having the largest number of members and greatest density and reciprocity.

conclusionsThis study suggests that online support networks are fairly effective in meeting participants' needs. The support dimension sought was generally provided and when it was not another dimension of support may have been substituted; thus, participants may have benefitted in unintended ways. The data also suggest there may be an optimal network size to support member engagement, whereby too large of a network may facilitate diffusion of responsibility and too small a network may not facilitate enough momentum to support a well-connected community.

Indexed as

content analysissocial mediasocial network analysissocial networking sitessocial support

Identifiers

PMID29942549
PMCPMC6001212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.