Centrality and the dual-projection approach for two-mode social network data
Datos Bibliográficos
| ID | 5097908 |
|---|---|
| Autores | M G Everett (0000-0003-2465-1329, University of Manchester, autor de correspondencia) |
| Año | 2016 |
| Volumen | 9 |
| Fecha de publicación | 2016-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Methodological Innovations (JOURNAL) |
| Identificadores de la revista | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2059799116630662 |
| OpenAlex | W2336066883 |
| Idioma | EN |
| Citas recibidas | 11 |
| Referencias citadas | 14 |
Research using techniques from social network analysis have expanded dramatically in recent years. The availability of network data and the recognition that social network techniques can provide an additional perspective have contributed to this expansion. Social network data are not always in a standard network form and, in many instances, consists of two distinct groups with ties between groups and no within group ties. For example, people attending events or meetings, authors collaborating on research outputs, or directors on boards of companies. Such data are known as two-mode data. Recently, Everett and Borgatti suggested a general approach for analyzing two-mode data. They suggested forming two one-mode data sets, analyzing these separately, and then recombining the results using the original data. One under-explored area in their work is in how this method can be applied to centrality problems; an issue we seek to begin to address here
Algorithm · Centrality · Complex network · Data mining · Data science · Dual (grammatical number · Human–computer interaction · Mode (computer interface · Network analysis · Network science · Perspective (graphical · Projection (relational algebra · Social network (sociolinguistics · Social network analysis · Statistics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Engineering · Mathematics · Mental Health Research Topics · Opinion Dynamics and Social Influence · Artificial Intelligence
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| Obras citantes distintas | 11 |
|---|---|
| Citas por año | 1,38 |
| Intervalo de citas | 2018 - 2026 (9) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 10 |