this paper, we report that while for the dissortative and neutral network, the BC-BC correlation coefficients behave similarly to the degree-degree correlation coefficients, for the assortative network, the degree-BC relation Eq. #1# is nontrivial, leading to that the BC-BC correlation is very weakly assortative, i.e., the mean BC of neighbors of a certain vertex with BC g i is almost independent of g
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, social,...
Abstract- In order to characterize the law of the degree correlations in the evolution of complex ne...
The role of an actor in a social network is identified through a set of measures called centrality. ...
In this paper, we empirically investigate correlations among four centrality measures, originated fr...
Assortativity by degree for complex networks is quantified by the Newman coefficient, and it describ...
<p>All the real models common (<i>C</i>1 and <i>C</i>2), disease not common (<i>DNC</i>) and normal ...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Abstract. In our paper we compare two centrality measures of networks, between-ness and Linerank. Be...
We investigate degree correlations in two online social networks where users are connected through d...
In this paper, we seek to find a computationally light centrality metric that could serve as an alte...
Most complex networks from different areas such as biology, sociology or technology, show a correlat...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
(a) shows the result for different subgraph sizes given the number of subgraphs m = 10; (b) shows th...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, social,...
Abstract- In order to characterize the law of the degree correlations in the evolution of complex ne...
The role of an actor in a social network is identified through a set of measures called centrality. ...
In this paper, we empirically investigate correlations among four centrality measures, originated fr...
Assortativity by degree for complex networks is quantified by the Newman coefficient, and it describ...
<p>All the real models common (<i>C</i>1 and <i>C</i>2), disease not common (<i>DNC</i>) and normal ...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Abstract. In our paper we compare two centrality measures of networks, between-ness and Linerank. Be...
We investigate degree correlations in two online social networks where users are connected through d...
In this paper, we seek to find a computationally light centrality metric that could serve as an alte...
Most complex networks from different areas such as biology, sociology or technology, show a correlat...
In recent decades, a number of centrality metrics describing network properties of nodes have been p...
Centrality is widely used to measure which nodes are important in a network. In recent decades, nume...
(a) shows the result for different subgraph sizes given the number of subgraphs m = 10; (b) shows th...
<p>The correlation coefficients of different pairs of centrality measures shows that the ranking of ...
Mixing patterns in large self-organizing networks, such as the Internet, the World Wide Web, social,...
Abstract- In order to characterize the law of the degree correlations in the evolution of complex ne...
The role of an actor in a social network is identified through a set of measures called centrality. ...
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