Rational Erdös number and maximum flow as measurement models for scientific social network analysis
Abstract In social network analysis, the detection of communities—composed of people with common interests—is a classical problem. Moreover, people can somehow influence any other in the community, i.e., they can spread information among them. In this paper, two models are proposed considering infor...
Main Authors: | Victor Ströele, Renato Crivano, Geraldo Zimbrão, Jano M. Souza, Fernanda Campos, José Maria N. David, Regina Braga |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-07-01
|
Series: | Journal of the Brazilian Computer Society |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13173-018-0070-6 |
Similar Items
-
The quality of the scientific report. Notes on the importance, protocols and recommendations.
by: Ennio Héctor Carro Pérez
Published: (2017-12-01) -
Digital identity and scientific production
by: Elso Manuel Cruz-Cruz
Published: (2020-02-01) -
Generalized Erdős numbers for network analysis
by: Greg Morrison, et al.
Published: (2018-01-01) -
Typology of Scientific Rationality and Synergy
by: Vyacheslav S Stepin
Published: (2017-06-01) -
Performance of scientific processing in networks of workstations: matrix multiplication example
by: Fernando Gustavo Tinetti
Published: (2001-05-01)