Using Social Network Analysis to Identify Successful Relationship Patterns Within Sexual Assault Response Teams (Sarts)

Datos Bibliográficos

ID12435552
AutoresMegan R Greeson (0000-0001-7588-7572, DePaul University, Chicago, IL, USA, autor de correspondencia), J W Neal (0000-0002-7749-8121, Michigan State University, East Lansing, USA), Rebecca Campbell (0000-0003-0442-9835, Michigan State University, East Lansing, USA)
Año2018
Volumen25
Número8
Páginas968-998
Fecha de publicación2018-10-10
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaViolence Against Women (JOURNAL)
Identificadores de la revistaISSN: 1077-8012 • E-ISSN: 1552-8448
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/1077801218801115
PMID30301432
OpenAlexW2895937510
IdiomaEN
Citas recibidas3
Referencias citadas44

The current study used social network analysis (SNA) to examine relationships within three effective Sexual Assault Response Teams (SARTs) that coordinate the response of legal, medical, and advocacy organizations to sexual assault. Within each SART, organizations reported on each other member organization valuing their role, serving as a resource to their work, and communication outside of official meetings. Across the SARTs, there was high connectedness and reciprocity and low to moderate dependence on one organization to drive relationships. However, there was dependence on a subgroup of organizations to drive additional communication relationships. Implications for managing relationships in SARTs are discussed

Computer security · Medical emergency · Poison control · Political science · Public relations · Reciprocity (cultural anthropology · Sexual assault · Social capital · Social connectedness · Social network analysis · Community Health and Development · Computer Science · Health Policy Implementation Science · Human Factors and Ergonomics · Intimate Partner and Family Violence · Medicine · Psychology · Social Psychology