Strategic players for identifying optimal social network intervention subjects
•A method to identify influential behavioral leaders is proposed.•The method balances proximity to targets for the interventionand distance from those who need to be avoided.•This method may be used for identifying social network members for intervention studies. We present a method whereby social n...
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| Vydané v: | Social networks Ročník 55; s. 97 - 103 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Netherlands
Elsevier B.V
01.10.2018
Elsevier Science Ltd |
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| ISSN: | 0378-8733, 1879-2111 |
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| Abstract | •A method to identify influential behavioral leaders is proposed.•The method balances proximity to targets for the interventionand distance from those who need to be avoided.•This method may be used for identifying social network members for intervention studies.
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. |
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| AbstractList | 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 maximizing the impact of the intervention; and 2) not embedded with ties that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal evaluation of intervention efficacy. In this study we developed a novel method which 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 targeted group), and far away from the subset we wish to avoid (i.e. the avoidance group). This solution seeks to maximize the diffusion of the behavior to the targeted group while minimizing contact and influence from the avoidance group. We apply this method to two different social networks. •A method to identify influential behavioral leaders is proposed.•The method balances proximity to targets for the interventionand distance from those who need to be avoided.•This method may be used for identifying social network members for intervention studies. 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. 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 maximizing the impact of the intervention; and 2) not embedded with ties that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal evaluation of intervention efficacy. In this study we developed a novel method which 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 targeted group), and far away from the subset we wish to avoid (i.e. the avoidance group). This solution seeks to maximize the diffusion of the behavior to the targeted group while minimizing contact and influence from the avoidance group. We apply this method to two different social networks.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 maximizing the impact of the intervention; and 2) not embedded with ties that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal evaluation of intervention efficacy. In this study we developed a novel method which 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 targeted group), and far away from the subset we wish to avoid (i.e. the avoidance group). This solution seeks to maximize the diffusion of the behavior to the targeted group while minimizing contact and influence from the avoidance group. We apply this method to two different social networks. 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. |
| Author | Barnett, Nancy P. Clark, Melissa A. Ott, Miles Q. Light, John M. |
| Author_xml | – sequence: 1 givenname: Miles Q. surname: Ott fullname: Ott, Miles Q. email: mott@smith.edu organization: Smith College, 44 College Lane, Northampton, MA, 01063, United States – sequence: 2 givenname: John M. surname: Light fullname: Light, John M. organization: Oregon Research Institute, 1776 Millrace Dr., Eugene, OR, 97403, United States – sequence: 3 givenname: Melissa A. surname: Clark fullname: Clark, Melissa A. organization: University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, United States – sequence: 4 givenname: Nancy P. surname: Barnett fullname: Barnett, Nancy P. organization: Brown University, Box G-S121-5 Brown University Providence, RI, 02912, United States |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31937996$$D View this record in MEDLINE/PubMed |
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| Keywords | Social networks Diffusion of influence Key players Strategic players Centrality diffusion of influence key players Social Networks centrality strategic players |
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| SubjectTerms | Behavior Centrality Diffusion of influence Influence Intervention Key players Leadership Proximity Social networks Strategic players |
| Title | Strategic players for identifying optimal social network intervention subjects |
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