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A Spectrum-Based Framework for Quantifying Randomness of Social Networks

Author
XIAOWEI YING1 ; LETING WU1 ; XINTAO WU1
[1] Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC 28223, United States
Source

IEEE transactions on knowledge and data engineering. 2011, Vol 23, Num 12, pp 1842-1856, 15 p ; ref : 25 ref

ISSN
1041-4347
Scientific domain
Control theory, operational research; Computer science; Psychology, psychopathology, psychiatry
Publisher
IEEE Computer Society, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Randomness measures graph spectra social networks
Keyword (fr)
Borne inférieure Borne supérieure Distribution aléatoire Laplacien Matrice adjacence Méthode empirique Réseau social Sous graphe Système modulaire Théorie graphe Théorie spectrale
Keyword (en)
Lower bound Upper bound Random distribution Laplacian Adjacency matrix Empirical method Social network Subgraph Modular system Graph theory Spectral theory
Keyword (es)
Cota inferior Cota superior Distribución aleatoria Laplaciano Matriz adyacencia Método empírico Red social Subgrafo Sistema modular Teoría grafo Teoría espectral
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A06 Information retrieval. Graph

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
24747502

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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