1 resultado para topological groups
em Greenwich Academic Literature Archive - UK
Filtro por publicador
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (5)
- Aquatic Commons (12)
- Archive of European Integration (8)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (52)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Boston University Digital Common (3)
- Brock University, Canada (6)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CaltechTHESIS (9)
- Cambridge University Engineering Department Publications Database (46)
- CentAUR: Central Archive University of Reading - UK (45)
- Center for Jewish History Digital Collections (238)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (119)
- Cochin University of Science & Technology (CUSAT), India (14)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Cornell: DigitalCommons@ILR (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Knowledge Repository of Central Drug Research Institute (3)
- Diposit Digital de la UB - Universidade de Barcelona (3)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (10)
- Indian Institute of Science - Bangalore - Índia (97)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (1)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Massachusetts Institute of Technology (2)
- Ministerio de Cultura, Spain (6)
- National Center for Biotechnology Information - NCBI (1)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (11)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (115)
- Queensland University of Technology - ePrints Archive (103)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (2)
- Research Open Access Repository of the University of East London. (2)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- School of Medicine, Washington University, United States (3)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad del Rosario, Colombia (4)
- Universidade Complutense de Madrid (3)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (9)
- University of Michigan (1)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (7)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
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.