Diffusion of Innovations

Rice, Ronald E.

doi:10.1093/obo/9780199756841-0045

Cited by 2 publications

(1 citation statement)

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“…This approach is appropriate to polyamory, where people attend a variety of poly meet-ups and become acquainted with someone new, experiencing new relationship energy (NRE) with an indirect tie (a friend of a friend, or someone new to polyamory). According to Rogers (2010) and Rice (2011), this process allows crucial data to be obtained through ties with associates (non-friends and non-lovers).With the poly ethic of free love-sharing and relationship anarchy, 19 it is quite normal for individuals to create quick bonds with strangers and those they meet tangentially. Individuals with high betweenness links (the shortest path between nodes) are often referred to as “brokers” because they connect otherwise isolated clusters of a network (Freeman, 1977).…”

Section: Quantitative Measures and The Use Of Gephi Softwarementioning

confidence: 99%

Polyamory in Paris: A social network theory application

Bennion

2020

Sexualities

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Multiple sexual partnerships can be viewed as networks in order to assess the nature of links between lovers and metamours (lover’s lovers) as well as the larger population. In such non-monogamous networks, where participants share sex, friendship, ideas, and economic resources, there exists a vast web of nodes connected in much more intimate and complex ways than one finds in the mono-normative landscape. This study explored gender dynamics in network centrality on a sample of 62 polyamorists in Paris, France using participant-observation, informal and structured interviews, and social network analysis. Though evolutionary psychology and pornographic film tend to reinforce heteronormative stereotypes of males as central social actors with multiple sexual partners and women as sexually passive, feminist theorists have argued for a more “agentic female sexual subjectivity”. My data showed that cis- and trans-women, with a strong sense of family and skills in interpersonal communication, score highest on network metrics of density/degree, homophily, indirectedness, and transitivity. The network data also indicate high modularity and endogamy with clustering tendencies for both cis-men and cis- and trans-women linked to kink, atypical intelligence, sexual and gender non-conformity, and mitigating factors of socioeconomic advantage and racial privilege.

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Section: Quantitative Measures and The Use Of Gephi Softwarementioning

confidence: 99%