The centrality of groups and classes
Bibliographic Data
| ID | 10142556 |
|---|---|
| Authors | M G Everett (0000-0003-2465-1329, University of Greenwich, corresponding author), P Borgatti (0000-0002-5776-5579, Boston College), S P Borgatti |
| Year | 1999 |
| Volume | 23 |
| Issue | 3 |
| Pages | 181-201 |
| Publication date | 1999-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Mathematical Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0022-250X • E-ISSN: 1545-5874 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0022250x.1999.9990219 |
| OpenAlex | W2089370556 |
| Language | EN |
| Citations received | 69 |
| References cited | 12 |
This paper extends the standard network centrality measures of degree, closeness and betweenness to apply to groups and classes as well as individuals. The group centrality measures will enable researchers to answer such questions as ‘how central is the engineering department in the informal influence network of this company?’ or ‘among middle managers in a given organization, which are more central, the men or the women?’ With these measures we can also solve the inverse problem: given the network of ties among organization members, how can we form a team that is maximally central? The measures are illustrated using two classic network data sets. We also formalize a measure of group centrality efficiency, which indicates the extent to which a group's centrality is principally due to a small subset of its members
Betweenness centrality · Centrality · Closeness · Combinatorics · Group (periodic table · Business Strategy and Innovation · Complex Network Analysis Techniques · Computer Science · Game Theory and Applications · Mathematics
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| Unique citing works | 69 |
|---|---|
| Citations per year | 3 |
| Citation span | 2003 - 2026 (24) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 69 |