%0 Journal Article %1 noauthororeditor %A Meghanathan, Natarajan %A He, Xiaojia %D 2016 %J International Journal on Foundations of Computer Science & Technology (IJFCST) %K Betweenness Centrality Networks Random Real-World Small-World %N 6 %P 20 %T Correlation and Regression Analysis for Node Betweenness Centrality %U https://wireilla.com/papers/ijfcst/V6N6/6616ijfcst01.pdf %V 6 %X In this paper, we seek to find a computationally light centrality metric that could serve as an alternate for the computationally heavy betweenness centrality (BWC) metric. In this pursuit, in the first half of the paper, we evaluate the correlation coefficient between BWC and the other commonly used centrality metrics such as Degree Centrality (DEG), Closeness Centrality (CLC), Farness Centrality (FRC), Clustering Coefficient Centrality (CCC) and Eigenvector Centrality (EVC)

@article{noauthororeditor, abstract = {In this paper, we seek to find a computationally light centrality metric that could serve as an alternate for the computationally heavy betweenness centrality (BWC) metric. In this pursuit, in the first half of the paper, we evaluate the correlation coefficient between BWC and the other commonly used centrality metrics such as Degree Centrality (DEG), Closeness Centrality (CLC), Farness Centrality (FRC), Clustering Coefficient Centrality (CCC) and Eigenvector Centrality (EVC)}, added-at = {2022-12-06T14:42:18.000+0100}, author = {Meghanathan, Natarajan and He, Xiaojia}, biburl = {https://www.bibsonomy.org/bibtex/266140bafc62e7af8eed3ba48973a2f6a/devino}, interhash = {e014690165d2cc88b6bab69a27c556ad}, intrahash = {66140bafc62e7af8eed3ba48973a2f6a}, journal = {International Journal on Foundations of Computer Science & Technology (IJFCST)}, keywords = {Betweenness Centrality Networks Random Real-World Small-World}, number = 6, pages = 20, timestamp = {2022-12-06T14:42:18.000+0100}, title = {Correlation and Regression Analysis for Node Betweenness Centrality }, url = {https://wireilla.com/papers/ijfcst/V6N6/6616ijfcst01.pdf}, volume = 6, year = 2016 }