The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Network Interventions
Abstract
Network, Network, Network: The fact that our interactions with others influence many of our decisions has led to research on characterizing the networks to which we belong and, more recently, on interventions that can change networks thereby changing behavior. This can have a variety of purposes, including promoting information flow through an organization or finding vulnerable points in bioterrorist networks. Valente (p. 49 ) reviews a variety of strategies for affecting networks.
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“In general, interventions delivered by people from the community of the beneficiaries of the program will be more effective than those delivered by outside agencies that are less connected to program recipients [22, 23].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
In the citing paper
“Many other network interventions are possible, and Valente [22] classified them into four broad strategies, each comprised of several tactical alternatives with each tactic having from one to many operational choices.”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
In the citing paper
“Network-identified peer opinion leaders have been used in dozens of studies to accelerate behavior change.”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
In the citing paper
“Research has shown that who delivers the program, and the social context of its receipt has a strong impact on program appeal and impact [22, 58].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
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Metadata
- Authors
- Valente, T. W.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Valente, Thomas W.
- ORCID
- Valente, Thomas W.
- Venue
- Science
- Published
- 2012-07-06
- Volume
- 337
- Issue
- 6090
- Pages
- 49-53
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4212942297
- Cited by
- 1,271
- References
- 52
- Citations by year
- 2026: 89 · 2025: 105 · 2024: 95 · 2023: 88 · 2022: 126 · 2021: 123 · 2020: 114 · 2019: 108 · 2018: 94 · 2017: 84 · 2016: 69 · 2015: 80 · 2014: 51 · 2013: 40 · 2012: 5
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (RC1AA019239)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- network intervention, social network data, behavior change, organizational performance, social networks, intervention strategies, mathematical algorithms, social environment
- MeSH terms
- Behavior, Group Processes, Humans, Organizational Innovation, Policy Making, Health Behavior, Randomized Controlled Trials as Topic, Efficiency, Organizational, Internet, Electronic Mail, Social Networking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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