Cited by 332Health Policy Implementation ScienceEvaluation and Performance AssessmentPublic Policy and Administration Research

The DOI matches its Crossref record; 91 of the 95 references it cites were found in a registry or an index; 3 of the 70 sources its claims cite were checked for support.

Social Network Analysis for Program Implementation

Open access

Abstract

This paper introduces the use of social network analysis theory and tools for implementation research. The social network perspective is useful for understanding, monitoring, influencing, or evaluating the implementation process when programs, policies, practices, or principles are designed and scaled up or adapted to different settings. We briefly describe common barriers to implementation success and relate them to the social networks of implementation stakeholders. We introduce a few simple measures commonly used in social network analysis and discuss how these measures can be used in program implementation. Using the four stage model of program implementation (exploration, adoption, implementation, and sustainment) proposed by Aarons and colleagues [1] and our experience in developing multi-sector partnerships involving community leaders, organizations, practitioners, and researchers, we show how network measures can be used at each stage to monitor, intervene, and improve the implementation process. Examples are provided to illustrate these concepts. We conclude with expected benefits and challenges associated with this approach.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This conceptual paper proposes using social network analysis (SNA) to monitor, intervene in, and evaluate program implementation across four stages: exploration, adoption, implementation, and sustainment. It illustrates network measures and thresholds with examples, arguing that network-informed implementation can improve design, delivery, and sustainability, while noting that evidence remains limited.

Key findings

  • SNA can be applied at each of four implementation stages—exploration/needs assessment, adoption/program design, implementation, and sustainment/monitoring—with Table 1 mapping stage-specific research questions, measures, concepts, and outcomes (e.g., network ethnography, network interventions, network diagnostics, network surveillance).
  • The paper offers illustrative thresholds: density below 0.30 as low, 0.30–0.50 as moderate, and above 0.50 as probably too high in many situations; modularity Q values greater than 0.30 indicate reasonably strong group structure and above 0.50 very strong group structure. In the illustrative 37-member organizational network, Q was 0.40 and the analysis identified 8 groups plus two isolates.
  • For implementation-stage network diagnostics, Gesell et al.’s metrics are cited: include isolates in activities, minimize asymmetry, keep density greater than 15% but less than 50%, avoid distinct subgroups, minimize centralization, and encourage but limit transitivity/cohesion.
  • Examples cited include: counties whose service-system leaders were identified as sources of information and advice showed significantly greater progress implementing Multidimensional Treatment Foster Care; Community Development Teams strengthened the network but led to no improvement in speed or stage of implementation while improving quality and quantity of implementation; and a cancer screening intervention increased community-based organizations’ linkage to themselves and to universities, but not universities’ links to CBOs.

Methods

  • Conceptual/methodological paper introducing SNA theory and tools for implementation research; it does not report a primary empirical study.
  • Uses the four-stage implementation model proposed by Aarons and colleagues and draws on examples from the authors’ work and others, including an illustrative organizational network of 37 members.
  • Main analysis is descriptive: it defines network measures (components, density, centrality, isolates, centralization, reciprocity, transitivity, modularity Q) and maps their use to implementation stages, summarizing procedures in Table 1.

Limitations

  • Stated: the paper is “not comprehensive”; many suggestions are based on limited evidence; there is “no rigorous comprehensive database of network experiences for this applied work”; only one study (Gesell et al.) is noted as having used network data during the implementation stage; and recommendations on metrics/thresholds are based primarily on one pilot study and are tentative/context-specific.
  • Evident: the paper is conceptual and does not empirically test whether the proposed SNA procedures improve implementation outcomes; the proposed thresholds and stage-specific procedures lack validation across diverse settings.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0131712

Cites

91 of 91 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig 1 Sample organizational network with nodes colored by department.
Fig 1 Sample organizational network with nodes colored by department.CC BY · PubMed Central
Fig 2 Network with nodes colored by their groups based on a community detection algorithm.
Fig 2 Network with nodes colored by their groups based on a community detection algorithm.CC BY · PubMed Central

Verification

Claims the paper makes

50 Not checked yet · 34 Own interpretation · 2 No basis given · 1 Supported · 1 Partly supported · accuracy not yet measured

Verify all 67 references — free account

Show all 37 claims

  • It may state two separate claims as one. 26
  • Probably not a substantial claim. 36
51 of 51
  • The authors state this as an assumption.

    Attention to the social networks of implementing agencies, change agents, larger social systems, and intervention recipients will substantially improve the implementation process.

    “The premise of this paper is that attention to the social networks of implementing agencies, change agents, and larger social systems as well as the networks of intervention recipients will substantially improve the implementation process.”
  • The paper relies on this without support.

    Most programs need to be adapted to local settings.

    “Most programs, however, need to be adapted to local settings, which is considered in the exploration phase and developed during the adoption phase.”
  • The paper relies on this without support.

    Program recipients interpret program content within their social and environmental contexts either explicitly or implicitly.

    “Program recipients do not interpret program materials in a vacuum; rather they interpret the content within their social and environmental contexts either explicitly or implicitly.”
  • The paper relies on this without support.

    There is rarely just one network that evolves; rather, there are often multiple networks, at multiple layers, with multiple perspectives that need to be coordinated.

    “In addition, there is rarely just one network that evolves; rather, there are often multiple networks, at multiple layers, with multiple perspectives that need to be coordinated.”
  • The paper relies on this without support.

    Many studies fail to document procedures for recruiting community leaders and partners to participate in health promotion interventions.

    “Unfortunately, many studies fail to document these procedures and so research is needed on how community leaders and partners are recruited to participate in health promotion interventions.”
  • The paper relies on this without support.

    What is lacking is comparison between network intervention methods.

    “What is lacking is comparison between network intervention methods.”
  • The paper relies on this without support.

    Most interventions are not one shot but implemented over many months and involve many sessions.

    “Most interventions are not one shot “single-time, single dose,” but instead are implemented over many months and involve many sessions.”
  • The paper relies on this without support.

    Existing evidence indicates that network-informed interventions and programs are more effective than non-networked ones.

    “Existing evidence indicates that network-informed interventions and programs are more effective than non-networked ones.”
  • The paper relies on this without support.

    All programs think about networks and most probably acknowledge that networks are important components of program design and delivery.

    “All programs think about networks and most probably acknowledge that networks are important components of program design and delivery.”
  • The paper relies on this without support.

    Most programs do not explicitly account for networks in their design, delivery, and evaluation.

    “Yet, most programs do not explicitly account for networks in their design, delivery, and evaluation.”
  • The paper relies on this without support.

    There are many studies showing that networks are important influences on behavior change, but few that directly assess whether intervention agents influence program recipients.

    “There are many studies showing that networks are important influences on behavior change, but few that directly assess whether intervention agents influence program recipients.”
  • The paper relies on this without support.

    There is no rigorous comprehensive database of network experiences for this applied work at the present time.

    “There is no rigorous comprehensive database of network experiences for this applied work at the present time.”
  • The paper relies on this without support.

    There is a wealth of knowledge about how to collect and analyze social network data, and a plethora of measures that can be used to improve the design, delivery, and assessment of public health interventions.

    “There is, however, a wealth of knowledge about how to collect and analyze social network data, and a plethora of measures, both individual- and network-level, that can be used to improve the design, delivery, and assessment of public health interventions.”
  • The paper relies on this without support.

    Everyone knows who they go to for advice or whom they spend time with.

    “Everyone knows who they go to for advice or whom they spend time with.”
  • The paper relies on this without support.

    Students cluster into identifiable cliques and groups.

    “Yet, we know that students cluster into identifiable cliques and groups.”
  • The paper relies on this without support.

    School-based programs are often created with the intention of delivering the same content to all students.

    “For example, school-based programs are often created with the intention of delivering the same content to all students.”
  • The paper relies on this without support.

    Program participants will tweet and post their reactions to intervention materials and activities.

    “Program participants will tweet and post their reactions to intervention materials and activities.”
17 of 17

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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Show all 95 references

Research works printed but not linked: 1

  1. A Neaigus, 1998, The network approach and interventions to prevent HIV among injection drug users, Public Health Reports, 113, 140

Cited by

Sorted by citations

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Metadata

Authors
Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K.-H., & Brown, C. H.
Affiliations
  • University of Southern California (US)
  • University of Miami (US)
  • Northwestern University (US)
Corresponding author
Valente, Thomas W.
Venue
PLOS ONE
Published
2015-06-25
Volume
10
Issue
6
Pages
e0131712
ISSN
1932-6203 (ISSN-L)
OpenAlex
W772517852
Cited by
332
References
95
Citations by year
2026: 20 · 2025: 24 · 2024: 33 · 2023: 38 · 2022: 30 · 2021: 41 · 2020: 54 · 2019: 28 · 2018: 25 · 2017: 22 · 2016: 12 · 2015: 3
FWCI
37.79
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute on Drug Abuse (P30DA027828, DA027828)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Social Sciences › Public Administration › Evaluation and Performance Assessment
  • Social Sciences › Public Administration › Public Policy and Administration Research
Keywords
social network analysis, program implementation, implementation research, implementation barriers, network metrics, intersectoral collaboration, community leaders, implementation monitoring, program sustainability
MeSH terms
Algorithms, Behavioral Medicine, Health Education, Health Promotion, Health Services, Social Support, Health Behavior, Program Development, Evidence-Based Medicine, Substance-Related Disorders, Needs Assessment, Social Networking, Social Media

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