Network Interventions

By Thomas W. Valente. Science, 2012

1,148 citations recorded by the source corpus.

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. The term “network interventions” describes the process of using social network data to accelerate behavior change or improve organizational performance. In this Review, four strategies for network interventions are described, each of which has multiple tactical alternatives. Many of these tactics can incorporate different mathematical algorithms. Consequently, researchers have many intervention choices at their disposal. Selecting the appropriate network intervention depends on the availability and character of network data, perceived characteristics of the behavior, its existing prevalence, and the social context of the program.

Subfields: Communication, General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/264ab931661bc555fdc21b6f90c0f1de22a1eb07

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In Communication

In General Health Professions

In Sociology and Political Science

Citations in the corpus

Strengthening networks: A social network intervention among higher education teachers (2018, methodology): “By adding, deleting or rewiring alters and/or ties, the network can be maximized on one or several aspects (Valente, 2012).”
Social Anxiety Disorder as a Densely Interconnected Network of Fear and Avoidance for Social Situations (2017, background): “However, not all nodes are equally important (Borgatti 2005; Valente 2012).”
Network analysis: a brief overview and tutorial (2018, background): “that are identified as hubs in such networks could be important targets for interventions (Valente, 2012).”
Hopelessness: A Network Analysis (2018, background): “Strength is defined as the sum of the absolute weights of the edge connecting the node to all the other nodes (Valente, 2012), while predictability quantifies how well a certain node is predicted by all its neighboring nodes (Hanslbeck & Waldorp, 2018).”