Unified index to quantifying heterogeneity of complex networks

Citations

Cited by:

1. Maria Carmela Schisani & Luigi Balletta & Giancarlo Ragozini, 2021. "Crowding out the change: business networks and persisting economic elites in the South of Italy over Unification (1840–1880)," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 15(1), pages 89-131, January.
   • Maria Carmela Schisani & Luigi Balletta & Giancarlo Ragozini, 0. "Crowding out the change: business networks and persisting economic elites in the South of Italy over Unification (1840–1880)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-43.
2. Berahmand, Kamal & Bouyer, Asgarali & Samadi, Negin, 2018. "A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 41-54.
3. Hu, Xiaojun & Leydesdorff, Loet & Rousseau, Ronald, 2017. "Heterogeneity in an undirected network: Definition and measurement," Journal of Informetrics, Elsevier, vol. 11(2), pages 669-682.
4. Yuan, Jia & Zhang, Qian-Ming & Gao, Jian & Zhang, Linyan & Wan, Xue-Song & Yu, Xiao-Jun & Zhou, Tao, 2016. "Promotion and resignation in employee networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 442-447.
5. Wang, Pei & Xu, Shuang, 2017. "Spectral coarse grained controllability of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 168-176.
6. Wang, Junyi & Hou, Xiaoni & Li, Kezan & Ding, Yong, 2017. "A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 88-105.
7. Wu, Hongqian & Deng, Hongzhong & Li, Jichao & Wang, Yangjun & Yang, Kewei, 2024. "Hunting for influential nodes based on radiation theory in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
8. Wu, Tao & Xian, Xingping & Zhong, Linfeng & Xiong, Xi & Stanley, H. Eugene, 2018. "Power iteration ranking via hybrid diffusion for vital nodes identification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 802-815.
9. Gao, Shuai & Ma, Jun & Chen, Zhumin & Wang, Guanghui & Xing, Changming, 2014. "Ranking the spreading ability of nodes in complex networks based on local structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 130-147.
10. Maria Carmela Schisani & Luigi Balletta & Giancarlo Ragozini, 2021. "Crowding out the change: business networks and persisting economic elites in the South of Italy over Unification (1840–1880)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 15(1), pages 89-131, January.
11. Zhang, Bowen & Xia, Yongxiang & Liang, Yuanyuan, 2023. "Effect of transfer costs on traffic dynamics of multimodal transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
12. Liu, Suling & Xu, Qiong & Chen, Aimin & Wang, Pei, 2020. "Structural controllability of dynamic transcriptional regulatory networks for Saccharomyces cerevisiae," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
13. Wen, Tao & Chen, Yu-wang & Syed, Tahir abbas & Wu, Ting, 2024. "ERIUE: Evidential reasoning-based influential users evaluation in social networks," Omega, Elsevier, vol. 122(C).
14. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
15. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
16. Du, Yuxian & Lin, Xi & Pan, Ye & Chen, Zhaoxin & Xia, Huan & Luo, Qian, 2023. "Identifying influential airports in airline network based on failure risk factors with TOPSIS," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
17. Salavati, Chiman & Abdollahpouri, Alireza & Manbari, Zhaleh, 2018. "BridgeRank: A novel fast centrality measure based on local structure of the network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 635-653.
18. Du, Yuxian & Gao, Cai & Hu, Yong & Mahadevan, Sankaran & Deng, Yong, 2014. "A new method of identifying influential nodes in complex networks based on TOPSIS," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 57-69.
19. Gao, Shilong & Gao, Nunan & Kan, Bixia & Wang, Huiqi, 2021. "Stochastic resonance in coupled star-networks with power-law heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
20. Huang, Chuangxia & Zhao, Xian & Deng, Yunke & Yang, Xiaoguang & Yang, Xin, 2022. "Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 81-94.
21. Fu, Yu-Hsiang & Huang, Chung-Yuan & Sun, Chuen-Tsai, 2015. "Using global diversity and local topology features to identify influential network spreaders," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 344-355.
22. Xu, Xiu-Lian & Fu, Chun-Hua & Chang, Hui & He, Da-Ren, 2011. "An evolution model of complex systems with simultaneous cooperation and competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3719-3726.
23. Wu, Jian & Qiu, Tian & Chen, Guang, 2024. "A general deep-learning approach to node importance identification," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
24. Feng, Ai-Xia & Fu, Chun-Hua & Xu, Xiu-Lian & Zhou, Yue-Ping & Chang, Hui & Wang, Jian & He, Da-Ren & Feng, Guo-Lin, 2012. "An extended clique degree distribution and its heterogeneity in cooperation–competition networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2454-2462.
25. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
26. Gong Kai & Kang Li, 2018. "A New K-Shell Decomposition Method for Identifying Influential Spreaders of Epidemics on Community Networks," Journal of Systems Science and Information, De Gruyter, vol. 6(4), pages 366-375, August.