The duality of networks and groups
Models to generate two-mode networks from one-mode networks
Bibliographic Data
| ID | 6161561 |
|---|---|
| Authors | Z P Neal (0000-0003-3076-4995, Michigan State University, corresponding author) |
| Year | 2023 |
| Volume | 11 |
| Issue | 3 |
| Pages | 397-410 |
| Publication date | 2023-03-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2023.3 |
| OpenAlex | W4327969918 |
| Language | EN |
| Citations received | 3 |
| References cited | 43 |
Shared memberships, social statuses, beliefs, and places can facilitate the formation of social ties. Two-mode projections provide a method for transforming two-mode data on individuals’ memberships in such groups into a one-mode network of their possible social ties. In this paper, I explore the opposite process: how social ties can facilitate the formation of groups, and how a two-mode network can be generated from a one-mode network. Drawing on theories of team formation, club joining, and organization recruitment, I propose three models that describe how such groups might emerge from the relationships in a social network. I show that these models can be used to generate two-mode networks that have characteristics commonly observed in empirical two-mode social networks and that they encode features of the one-mode networks from which they were generated. I conclude by discussing these models’ limitations and future directions for theory and methods concerning group formation
Duality (order theory · ENCODE · Group (periodic table · Human–computer interaction · Mode (computer interface · Process (computing · Pure mathematics · Social media · Social network (sociolinguistics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Capital and Networks · Social Psychology · Artificial Intelligence · Theoretical Computer Science
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |