Strategic players for identifying optimal social network intervention subjects

Published on Oct 1, 2018in Social Networks2.95
· DOI :10.1016/j.socnet.2018.05.004
Miles Q. Ott5
Estimated H-index: 5
(Smith College),
John M. Light12
Estimated H-index: 12
(Oregon Research Institute)
+ 1 AuthorsNancy P. Barnett39
Estimated H-index: 39
(Brown University)
Abstract We present a method whereby social network ties are used to identify behavioral leaders who are situated in the network such that these individuals are: 1) able to influence other individuals who are in need of and most receptive to intervention, thereby optimizing the impact of the intervention; and 2) not embedded with ties to individuals that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal impact of intervention. In this study we developed a method that we call Strategic Players, which is a solution for identifying a set of players who are close to a target subset of the network (i.e., the target group), and far away from the subset we wish to avoid (i.e. the avoid group), where the proximity to either the target or avoid group may be facilitated by network members who are in neither group (i.e. the neutral group). This solution seeks to maximize the diffusion of the behavior to the target group while minimizing contact and influence to the avoid group. We apply this method to two different social networks, and one simulated social network.
  • References (23)
  • Citations (3)
Published on Jan 1, 2014in Health Psychology3.53
Nancy P. Barnett39
Estimated H-index: 39
Miles Q. Ott5
Estimated H-index: 5
+ 3 AuthorsMelissa A. Clark40
Estimated H-index: 40
Published on Jun 1, 2013in Journal of Acquired Immune Deficiency Syndromes3.86
Carl A. Latkin58
Estimated H-index: 58
(Johns Hopkins University),
Melissa Davey-Rothwell17
Estimated H-index: 17
(Johns Hopkins University)
+ 3 AuthorsBasmattee Boodram8
Estimated H-index: 8
This article reviews current issues and advancements in social network approaches to HIV prevention and care. Social network analysis can provide a method to understand health disparities in HIV rates and treatment access and outcomes. Social network analysis is a value tool to link social structural factors to individual behaviors. Social networks provide an avenue for low cost and sustainable HIV prevention interventions that can be adapted and translated into diverse populations. Social netwo...
Published on May 1, 2013in Addiction6.85
Carl A. Latkin58
Estimated H-index: 58
(Johns Hopkins University),
Deborah Donnell39
Estimated H-index: 39
+ 3 AuthorsDavid S. Metzger42
Estimated H-index: 42
(UPenn: University of Pennsylvania)
Aims Social norms are a key source of influence on health behaviors. This study examined changes in social norms and relationships between HIV injection risk behaviors and social norms among injection drug users (IDUs) involved in an experimental intervention. Design Randomized clinical trial. Setting An HIV Prevention Trials Network study, Philadelphia, USA. Participants IDUs, called indexes, and their social network members, who were drug or sex partners, were recruited for an HIV prevention i...
Published on Jan 1, 2013in American Psychologist3.60
Carl A. Latkin58
Estimated H-index: 58
(Johns Hopkins University),
Danielle German20
Estimated H-index: 20
(Johns Hopkins University)
+ 1 AuthorsSandro Galea85
Estimated H-index: 85
(Columbia University)
Published on Aug 1, 2012in Journal of Adolescent Health3.96
Kayo Fujimoto17
Estimated H-index: 17
(University of Texas Health Science Center at Houston),
Thomas W. Valente48
Estimated H-index: 48
(SC: University of Southern California)
Abstract Purpose Friendship networks are an important source of peer influence. However, existing network studies vary in terms of how they operationalize friendship and friend's influence on adolescent substance use. This study uses social network analysis to characterize three types of friendship relations: (1) mutual or reciprocated, (2) directional, and (3) intimate friends. We then examine the relative effects of each friendship type on adolescent drinking and smoking behavior. Methods Usin...
Published on Mar 20, 2012in Substance Use & Misuse1.38
Jianghong Li10
Estimated H-index: 10
Margaret R. Weeks23
Estimated H-index: 23
+ 2 AuthorsJulia Dickson-Gomez18
Estimated H-index: 18
(MCW: Medical College of Wisconsin)
Project RAP (Risk Avoidance Partnership) trained 112 active drug users to become peer health advocates (PHAs). Six months after baseline survey (Nbl = 522), 91.6% of PHAs and 56.6% of community drug users adopted the RAP innovation of giving peer intervention, and 59.5% of all participants (N6m = 367) were exposed to RAP innovation. Sociometric network analysis shows that adoption of and exposure to RAP innovation was associated with proximity to a PHA or a highly active interventionist (HAI), b...
Published on Sep 1, 2011in Management Science4.22
Sinan Aral26
Estimated H-index: 26
(NYU: New York University),
D. Walker30
Estimated H-index: 30
(NYU: New York University)
We examine how firms can create word-of-mouth peer influence and social contagion by designing viral features into their products and marketing campaigns. To econometrically identify the effectiveness of different viral features in creating social contagion, we designed and conducted a randomized field experiment involving the 1.4 million friends of 9,687 experimental users on We find that viral features generate econometrically identifiable peer influence and social contagion effe...
Published on Sep 1, 2011in Academic Pediatrics2.54
Marlon Mundt31
Estimated H-index: 31
(UW: University of Wisconsin-Madison)
Abstract Objective Early adolescent alcohol use is a major public health problem. Drinking before the 14th birthday is associated with a fourfold increase in risk of alcohol dependence in adulthood. The objective of this study is to evaluate the association between adolescent social network characteristics and alcohol initiation prospectively over time. Methods The study analyzes data from the National Longitudinal Study of Adolescent Health, a nationally representative survey of 7th- through 11...
Published on Sep 3, 2010in Science41.04
Damon Centola17
Estimated H-index: 17
(MIT: Massachusetts Institute of Technology)
How do social networks affect the spread of behavior? A popular hypothesis states that networks with many clustered ties and a high degree of separation will be less effective for behavioral diffusion than networks in which locally redundant ties are rewired to provide shortcuts across the social space. A competing hypothesis argues that when behaviors require social reinforcement, a network with more clustering may be more advantageous, even if the network as a whole has a larger diameter. I in...
Published on Apr 6, 2010in Annals of Internal Medicine19.32
James Niels Rosenquist11
Estimated H-index: 11
Joanne M. Murabito73
Estimated H-index: 73
+ 1 AuthorsNicholas A. Christakis75
Estimated H-index: 75
BACKGROUND: Alcohol consumption has important health-related consequences and numerous biological and social determinants. OBJECTIVE: To explore quantitatively whether alcohol consumption behavior spreads from person to person in a large social network of friends, coworkers, siblings, spouses, and neighbors, followed for 32 years. DESIGN: Longitudinal network cohort study. SETTING: The Framingham Heart Study. PARTICIPANTS: 12 067 persons assessed at several time points between 1971 and 2003. MEA...
Cited By3
Published on Jun 13, 2019in Kybernetes1.38
Li Wang1
Estimated H-index: 1
(HIT: Harbin Institute of Technology),
Qingpu Zhang2
Estimated H-index: 2
(HIT: Harbin Institute of Technology)
Published on Jan 1, 2019in arXiv: Social and Information Networks
Ning Wang , Zi-Yi Wang + 1 AuthorsJingti Han5
Estimated H-index: 5
Influence overlap is a universal phenomenon in influence spreading for social networks. In this paper, we argue that the redundant influence generated by influence overlap cause negative effect for maximizing spreading influence. Firstly, we present a theoretical method to calculate the influence overlap and record the redundant influence. Then in term of eliminating redundant influence, we present two algorithms, namely, Degree-Redundant-Influence (DRS) and Degree-Second-Neighborhood (DSN) for ...
Published on Jan 1, 2019in Contemporary Clinical Trials2.28
Nancy P. Barnett39
Estimated H-index: 39
(Brown University),
Melissa A. Clark40
Estimated H-index: 40
(UMMS: University of Massachusetts Medical School)
+ 5 AuthorsJohn M. Light12
Estimated H-index: 12
(Oregon Research Institute)
Abstract Heavy drinking and its consequences among college students represent a serious public health problem, and peer social networks are a robust predictor of drinking-related risk behaviors. In a recent trial, we administered a Brief Motivational Intervention (BMI) to a small number of first-year college students to assess the indirect effects of the intervention on peers not receiving the intervention. Objectives: To present the research design, describe the methods used to successfully enr...
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