Results 11 to 20 of about 239,550 (307)
Efficient computation of the Weighted Clustering Coefficient [PDF]
Internet Mathematics, 2014 The clustering coefficient of an unweighted network has been extensively used to quantify how tightly connected is the neighbor around a node and it has been widely adopted for assessing the quality of nodes in a social network. The computation of the clustering coefficient is challenging since it requires to count the number of triangles in the graph.
LATTANZI, SILVIO, LEONARDI, Stefano
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Influence of clustering coefficient on network embedding in link prediction
Applied Network Science, 2022 Multiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack the understanding of how network topology affects their performance, or which algorithms are more likely ...
Omar F. Robledo +3 more
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Global Clustering Coefficient in Scale-Free Networks [PDF]
, 2014 In this paper, we analyze the behavior of the global clustering coefficient in scale free graphs. We are especially interested in the case of degree distribution with an infinite variance, since such degree distribution is usually observed in real-world networks of diverse nature.
Liudmila Ostroumova Prokhorenkova +1 more
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Curvature of Indoor Sensor Network: Clustering Coefficient
EURASIP Journal on Wireless Communications and Networking, 2008 We investigate the geometric properties of the communication graph in realistic low-power wireless networks. In particular, we explore the concept of the curvature of a wireless network via the clustering coefficient. Clustering coefficient analysis is a
Ariaei F +4 more
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Spatially clustered varying coefficient model
Journal of Multivariate Analysis, 2022 59 pages, 5 ...
Fangzheng Lin +3 more
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A Novel Centrality of Influential Nodes Identification in Complex Networks
IEEE Access, 2020 Influential nodes identification in complex networks is vital for understanding and controlling the propagation process in complex networks. Some existing centrality measures ignore the impacts of neighbor node.
Yuanzhi Yang +4 more
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Evolutionary aspect of protein sequence network based on the 2D representation of amino acids [PDF]
Network Biology, 2022 For the comparative analysis of proteins, their proper clustering, and evolutionary relationships require analysis of their sequences. We used a mathematical parameter termed a similar factor to create a similar degree matrix of ND6 protein sequences ...
Sanjay Sharma +2 more
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On Learning Cluster Coefficient of Private Networks [PDF]
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012 Enabling accurate analysis of social network data while preserving differential privacy has been challenging since graph features such as clustering coefficient or modularity often have high sensitivity, which is different from traditional aggregate functions (e.g., count and sum) on tabular data.
Yue Wang 0009 +3 more
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An Improved Passing Network for Evaluating Football Team Performance
Applied Sciences, 2023 With the continuous development of sensor technology, the realization of football techniques and tactics comes with richer technical support. Among them, network analysis has been widely used to analyze passing behavior, and some results have been ...
Wenxuan Zhou +3 more
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IEEE Access, 2020 Graph theory analysis, a mathematical approach, has been applied in brain connectivity studies to explore the organization of network patterns.
Lina Elsherif Ismail, Waldemar Karwowski
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