[[abstract]]This paper proposed two models with extreme average clustering coefficients and small path length properties for high edge density network. High density networks are common in the analysis of social networks and biological networks. In addition to those properties, the proposed models indicated that in addition to the existing small-world network model and random network model, there are other network models that may produce clustering coefficients filling the gap between those two models and the maximal achievable clustering coefficients.[[sponsorship]]Tamkang University; IEEE[[conferencetype]]國際[[conferencetkucampus]]淡水校園[[conferencedate]]20091203~20091205[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa
Clustering is an important unsupervised classification technique. In supervised classification, we a...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
Triangle-Dense Graphs ” [1]. The motivation of the paper is to develop a theory of algorithms for so...
[[abstract]]This paper proposed two models with extreme average clustering coefficients and small pa...
Let G be a network with n nodes and eigenvalues λ1 ≥ λ2 ≥ ⋅⋅⋅ ≥ λn. Then G is called an (n, d, λ)-ne...
Social and other networks have been shown empirically to exhibit high edge clustering—that is, the d...
Clustering is a fundamental property of complex networks and it is the mathematical expression of a ...
We introduce a clustering coefficient for nondirected and directed hypergraphs, which we call the qu...
Information networks, such as biological or social networks, contain groups of related entities, whi...
Information networks, such as biological or social networks, contain groups of related entities, whi...
Real growing networks such as the World Wide Web or personal connection based networks are character...
peer-reviewedThe question of how clustering (nonzero density of triangles) in networks affects their...
We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newm...
We initiate the study of local, sublinear time algorithms for finding vertices with extreme topologi...
In this paper we consider the clustering coefficient, and clustering function in a random graph mode...
Clustering is an important unsupervised classification technique. In supervised classification, we a...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
Triangle-Dense Graphs ” [1]. The motivation of the paper is to develop a theory of algorithms for so...
[[abstract]]This paper proposed two models with extreme average clustering coefficients and small pa...
Let G be a network with n nodes and eigenvalues λ1 ≥ λ2 ≥ ⋅⋅⋅ ≥ λn. Then G is called an (n, d, λ)-ne...
Social and other networks have been shown empirically to exhibit high edge clustering—that is, the d...
Clustering is a fundamental property of complex networks and it is the mathematical expression of a ...
We introduce a clustering coefficient for nondirected and directed hypergraphs, which we call the qu...
Information networks, such as biological or social networks, contain groups of related entities, whi...
Information networks, such as biological or social networks, contain groups of related entities, whi...
Real growing networks such as the World Wide Web or personal connection based networks are character...
peer-reviewedThe question of how clustering (nonzero density of triangles) in networks affects their...
We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newm...
We initiate the study of local, sublinear time algorithms for finding vertices with extreme topologi...
In this paper we consider the clustering coefficient, and clustering function in a random graph mode...
Clustering is an important unsupervised classification technique. In supervised classification, we a...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
Triangle-Dense Graphs ” [1]. The motivation of the paper is to develop a theory of algorithms for so...