Match!

Strategic players for identifying optimal social network intervention subjects

Published on Oct 1, 2018in Social Networks2.949
· DOI :10.1016/j.socnet.2018.05.004
Miles Q. Ott7
Estimated H-index: 7
(Smith College),
John M. Light14
Estimated H-index: 14
(Oregon Research Institute)
+ 1 AuthorsNancy P. Barnett40
Estimated H-index: 40
(Brown University)
Sources
Abstract
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)
📖 Papers frequently viewed together
2008
1 Author (Umed Temurshoev)
15 Citations
7 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References23
Newest
#1Nancy P. BarnettH-Index: 40
#2Miles Q. OttH-Index: 7
Last. Melissa A. ClarkH-Index: 42
view all 6 authors...
23 CitationsSource
#1Carl A. Latkin (Johns Hopkins University)H-Index: 60
#2Melissa Davey-Rothwell (Johns Hopkins University)H-Index: 18
Last. Basmattee BoodramH-Index: 9
view all 6 authors...
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...
48 CitationsSource
#1Carl A. Latkin (Johns Hopkins University)H-Index: 60
#2Deborah DonnellH-Index: 40
Last. David S. Metzger (UPenn: University of Pennsylvania)H-Index: 44
view all 6 authors...
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...
41 CitationsSource
#1Carl A. Latkin (Johns Hopkins University)H-Index: 60
#2Danielle German (Johns Hopkins University)H-Index: 21
Last. Sandro Galea (Columbia University)H-Index: 90
view all 4 authors...
70 CitationsSource
#1Kayo Fujimoto (University of Texas Health Science Center at Houston)H-Index: 19
#2Thomas W. Valente (SC: University of Southern California)H-Index: 49
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...
67 CitationsSource
#1Jianghong LiH-Index: 10
#2Margaret R. WeeksH-Index: 24
Last. Julia Dickson-Gomez (MCW: Medical College of Wisconsin)H-Index: 18
view all 5 authors...
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...
24 CitationsSource
#1Sinan Aral (NYU: New York University)H-Index: 25
#2Dylan Walker (NYU: New York University)H-Index: 31
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 Facebook.com. We find that viral features generate econometrically identifiable peer influence and social contagion effe...
440 CitationsSource
#1Marlon P. Mundt (UW: University of Wisconsin-Madison)H-Index: 34
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...
79 CitationsSource
#1Damon Centola (MIT: Massachusetts Institute of Technology)H-Index: 18
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...
1,261 CitationsSource
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...
340 CitationsSource
Cited By3
Newest
#1Graham T. DiGuiseppi (SC: University of Southern California)H-Index: 3
#1Graham Diguiseppi (SC: University of Southern California)
Last. Nancy P. Barnett (Brown University)H-Index: 40
view all 7 authors...
Abstract Introduction First-generation college students are those whose parents have not completed a four-year college degree. The current study addressed the lack of research on first-generation college students’ alcohol use by comparing the binge drinking trajectories of first-generation and continuing-generation students over their first three semesters. The dynamic influence of peer and parental social norms on students’ binge drinking frequencies were also examined. Methods 1,342 college st...
Source
#1Miles Q. Ott (Smith College)H-Index: 7
#2Sara G. Balestrieri (Brown University)H-Index: 4
Last. Nancy P. Barnett (Brown University)H-Index: 40
view all 7 authors...
Background: Diffusion of innovations theory posits that ideas and behaviors can be spread through social network ties. In intervention work, intervening upon certain network members may lead to intervention effects "diffusing" into the network to affect the behavior of network members who did not receive the intervention. The strategic players (SP) method, an extension of Borgatti's Key Players approach, is used to balance the (sometimes) opposing goals of spreading the intervention to as many m...
Source
#1Li Wang (HIT: Harbin Institute of Technology)H-Index: 1
#2Qingpu Zhang (HIT: Harbin Institute of Technology)H-Index: 3
Source
#1Ning WangH-Index: 1
#2Zi-Yi WangH-Index: 1
Last. Jingti HanH-Index: 5
view all 4 authors...
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 ...
1 Citations
#1Nancy P. Barnett (Brown University)H-Index: 40
#2Melissa A. Clark (UMMS: University of Massachusetts Medical School)H-Index: 42
Last. John M. Light (Oregon Research Institute)H-Index: 14
view all 8 authors...
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...
1 CitationsSource