Mining Complex Networks
portes grátis
Mining Complex Networks
Kaminski, Bogumil; Theberge, Francois; Pralat, Pawel
Taylor & Francis Ltd
12/2021
264
Dura
Inglês
9781032112039
15 a 20 dias
260
Descrição não disponível.
Preface
I Core Material
1.Graph Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
6.Graph Embeddings
7.Hypergraphs
II Complementary Material
8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
11.Road Networks
I Core Material
1.Graph Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
6.Graph Embeddings
7.Hypergraphs
II Complementary Material
8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
11.Road Networks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Global Clustering Coefficient;Roc Curve;MLG.;Cumulative Distribution Function;Degree Distribution;Random Graph;Binomial Random Graph;Graph Embedding;Adjacency Matrix;Power Law Degree Distribution;Unweighted Graphs;Degree Sequence;Modularity Function;Power Law Graphs;Clustering Coefficient;Katz Centrality;Stochastic Block Model;Degree Correlation;Low Degree Nodes;Correlation Exponent;Independent Set;Girvan Newman Algorithm;Small Average Path Length;Order Parameter;Embedding Algorithms
Preface
I Core Material
1.Graph Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
6.Graph Embeddings
7.Hypergraphs
II Complementary Material
8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
11.Road Networks
I Core Material
1.Graph Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
6.Graph Embeddings
7.Hypergraphs
II Complementary Material
8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
11.Road Networks
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Global Clustering Coefficient;Roc Curve;MLG.;Cumulative Distribution Function;Degree Distribution;Random Graph;Binomial Random Graph;Graph Embedding;Adjacency Matrix;Power Law Degree Distribution;Unweighted Graphs;Degree Sequence;Modularity Function;Power Law Graphs;Clustering Coefficient;Katz Centrality;Stochastic Block Model;Degree Correlation;Low Degree Nodes;Correlation Exponent;Independent Set;Girvan Newman Algorithm;Small Average Path Length;Order Parameter;Embedding Algorithms
