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The centrality index of a graph

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  1. De Masi, G. & Giovannetti, G. & Ricchiuti, G., 2013. "Network analysis to detect common strategies in Italian foreign direct investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1202-1214.
  2. Fogel, Kathy & Jandik, Tomas & McCumber, William R., 2018. "CFO social capital and private debt," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 28-52.
  3. Truong, Huynh Sang & Walz, Uwe, 2022. "Spillovers of PE Investments," SAFE Working Paper Series 357, Leibniz Institute for Financial Research SAFE.
  4. Liu, Honglu & Tian, Zhihong & Huang, Anqiang & Yang, Zaili, 2018. "Analysis of vulnerabilities in maritime supply chains," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 475-484.
  5. Li, Yongli & Wu, Chong & Wang, Xiaoyu & Luo, Peng, 2014. "A network-based and multi-parameter model for finding influential authors," Journal of Informetrics, Elsevier, vol. 8(3), pages 791-799.
  6. Buechel, Berno & Buskens, Vincent, 2011. "The dynamics of closeness and betweenness," Center for Mathematical Economics Working Papers 398, Center for Mathematical Economics, Bielefeld University.
  7. René van den Brink & Agnieszka Rusinowska, 2023. "Degree Centrality, von Neumann-Morgenstern Expected Utility and Externalities in Networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-04188289, HAL.
  8. Sheikhahmadi, Amir & Nematbakhsh, Mohammad Ali & Zareie, Ahmad, 2017. "Identification of influential users by neighbors in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 517-534.
  9. El-Khatib, Rwan & Fogel, Kathy & Jandik, Tomas, 2015. "CEO network centrality and merger performance," Journal of Financial Economics, Elsevier, vol. 116(2), pages 349-382.
  10. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2013. "A centrality measure for communication ability in weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6107-6117.
  11. Zhu, Weihua & Liu, Kai & Wang, Ming & Yan, Xiaoyong, 2018. "Enhancing robustness of metro networks using strategic defense," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1081-1091.
  12. Wouter van den Bos & Eveline A Crone & Rosa Meuwese & Berna Güroğlu, 2018. "Social network cohesion in school classes promotes prosocial behavior," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
  13. Zhang, Xiaohong & Li, Zhiying & Qian, Kai & Ren, Jianji & Luo, Junwei, 2020. "Influential node identification in a constrained greedy way," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
  14. Xiaojian Ma & Yinghong Ma, 2019. "The Local Triangle Structure Centrality Method to Rank Nodes in Networks," Complexity, Hindawi, vol. 2019, pages 1-16, January.
  15. Hongxing Yao & Yanyu Lu & Bilal Ahmed Memon, 2019. "Impact of US-China Trade War on the Network Topology Structure of Chinese Stock Market," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 9(2), pages 235-250, December.
  16. Roberto Antonietti & Giulia De Masi & Giorgio Ricchiuti, 2020. "Linking FDI Network Topology with the Covid-19 Pandemic," Working Papers - Economics wp2020_18.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  17. Hyuk-Soo Kwon & Jihong Lee & Sokbae Lee & Ryungha Oh, 2022. "Knowledge spillovers and patent citations: trends in geographic localization, 1976–2015," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(3), pages 123-147, April.
  18. Möbert, Jochen & Tydecks, Patrick, 2007. "Power and Ownership Structures among German Companies. A Network Analysis of Financial Linkages," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35974, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  19. Zhong, Lin-Feng & Shang, Ming-Sheng & Chen, Xiao-Long & Cai, Shi-Ming, 2018. "Identifying the influential nodes via eigen-centrality from the differences and similarities of structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 77-82.
  20. Simon A. Andrew & Jered B. Carr, 2013. "Mitigating Uncertainty and Risk in Planning for Regional Preparedness: The Role of Bonding and Bridging Relationships," Urban Studies, Urban Studies Journal Limited, vol. 50(4), pages 709-724, March.
  21. Alexander Erath & Michael Löchl & Kay Axhausen, 2009. "Graph-Theoretical Analysis of the Swiss Road and Railway Networks Over Time," Networks and Spatial Economics, Springer, vol. 9(3), pages 379-400, September.
  22. repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
  23. Katya Pérez-Guzmán & Isela-Elizabeth Téllez-León & Ali Kharrazi & Brian Fath & Francisco Venegas-Martínez, 2018. "What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(4), pages 483-505, Octubre-D.
  24. Shakya, Holly B. & Christakis, Nicholas A. & Fowler, James H., 2015. "Social network predictors of latrine ownership," Social Science & Medicine, Elsevier, vol. 125(C), pages 129-138.
  25. Coletti, Paolo, 2016. "Comparing minimum spanning trees of the Italian stock market using returns and volumes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 246-261.
  26. Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
  27. Ding, Yueting & Zhang, Ming & Chen, Sai & Nie, Rui, 2020. "Assessing the resilience of China’s natural gas importation under network disruptions," Energy, Elsevier, vol. 211(C).
  28. Gong, Yudong & Liu, Sanyang & Bai, Yiguang, 2021. "A probability-driven structure-aware algorithm for influence maximization under independent cascade model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
  29. Bao, Zhong-Kui & Ma, Chuang & Xiang, Bing-Bing & Zhang, Hai-Feng, 2017. "Identification of influential nodes in complex networks: Method from spreading probability viewpoint," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 391-397.
  30. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
  31. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
  32. Martínez-Jaramillo Serafín & Alexandrova-Kabadjova Biliana & Bravo-Benítez Bernardo & Solórzano-Margain Juan Pablo, 2012. "An Empirical Study of the Mexican Banking System's Network and its Implications for Systemic Risk," Working Papers 2012-07, Banco de México.
  33. Namtirtha, Amrita & Dutta, Animesh & Dutta, Biswanath, 2018. "Identifying influential spreaders in complex networks based on kshell hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 310-324.
  34. Wang, Yanli & Li, Huajiao & Guan, Jianhe & Liu, Nairong, 2019. "Similarities between stock price correlation networks and co-main product networks: Threshold scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 66-77.
  35. Liu, Ying & Tang, Ming & Zhou, Tao & Do, Younghae, 2016. "Identify influential spreaders in complex networks, the role of neighborhood," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 289-298.
  36. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
  37. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
  38. Martinez-Jaramillo, Serafin & Alexandrova-Kabadjova, Biliana & Bravo-Benitez, Bernardo & Solórzano-Margain, Juan Pablo, 2014. "An empirical study of the Mexican banking system’s network and its implications for systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 242-265.
  39. van den Brink, René & Rusinowska, Agnieszka, 2022. "The degree measure as utility function over positions in graphs and digraphs," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1033-1044.
  40. Ma, Ling-ling & Ma, Chuang & Zhang, Hai-Feng & Wang, Bing-Hong, 2016. "Identifying influential spreaders in complex networks based on gravity formula," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 205-212.
  41. Zhang, Xiaohang & Cui, Huiyuan & Zhu, Ji & Du, Yu & Wang, Qi & Shi, Wenhua, 2017. "Measuring the dissimilarity of multiplex networks: An empirical study of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 380-394.
  42. Zio, Enrico & Piccinelli, Roberta, 2010. "Randomized flow model and centrality measure for electrical power transmission network analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 379-385.
  43. Yu, Hui & Cao, Xi & Liu, Zun & Li, Yongjun, 2017. "Identifying key nodes based on improved structural holes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 318-327.
  44. René van den Brink & Agnieszka Rusinowska, 2017. "The degree measure as utility function over positions in networks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01592181, HAL.
  45. Wang, Yuhong & Cullinane, Kevin, 2016. "Determinants of port centrality in maritime container transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 326-340.
  46. Herings, P.J.J. & van der Laan, G. & Talman, A.J.J., 2001. "Measuring the Power of Nodes in Digraphs," Other publications TiSEM 8ad1bdb1-a602-4674-b737-2, Tilburg University, School of Economics and Management.
  47. Fang, Ming & Francis, Bill & Hasan, Iftekhar & Wu, Qiang, 2022. "External social networks and earnings management," The British Accounting Review, Elsevier, vol. 54(2).
  48. Bae, Joonhyun & Kim, Sangwook, 2014. "Identifying and ranking influential spreaders in complex networks by neighborhood coreness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 549-559.
  49. Baumann, Fabian & Sokolov, Igor M. & Tyloo, Melvyn, 2020. "A Laplacian approach to stubborn agents and their role in opinion formation on influence networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
  50. Bilal Ahmed Memon & Hongxing Yao & Rabia Tahir, 2020. "General election effect on the network topology of Pakistan’s stock market: network-based study of a political event," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-14, December.
  51. Lv, Zhiwei & Zhao, Nan & Xiong, Fei & Chen, Nan, 2019. "A novel measure of identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 488-497.
  52. Bernardo Bravo-Benitez & Biliana Alexandrova-Kabadjova & Serafin Martinez-Jaramillo, 2016. "Centrality Measurement of the Mexican Large Value Payments System from the Perspective of Multiplex Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 19-47, January.
  53. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 617-646.
  54. Lee, Byoung-Hwa & Jung, Woo-Sung, 2018. "Analysis on the urban street network of Korea: Connections between topology and meta-information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 15-25.
  55. Tao, Qizhi & Li, Haoyu & Wu, Qun & Zhang, Ting & Zhu, Yingjun, 2019. "The dark side of board network centrality: Evidence from merger performance," Journal of Business Research, Elsevier, vol. 104(C), pages 215-232.
  56. Li, Mingtao & Cui, Jin & Zhang, Juan & Pei, Xin & Sun, Guiquan, 2022. "Transmission characteristic and dynamic analysis of COVID-19 on contact network with Tianjin city in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
  57. Liquan Xu & Zhentian Zhang & Gangyi Tan & Junqing Zhou & Yang Wang, 2022. "Analysis on the Evolution and Resilience of Ecological Network Structure in Wuhan Metropolitan Area," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
  58. Joao Amaro de Matos & Joao Mergulhao, 2015. "Debt, information asymmetry and bankers on board," Nova SBE Working Paper Series wp597, Universidade Nova de Lisboa, Nova School of Business and Economics.
  59. Juanjuan Luo & Teng Fei & Meng Tian & Yifei Liu & Meng Bian, 2023. "Sensitivity metrics of complex network based on co-occurrence truth table: exemplified by a high-speed rail network," Journal of Geographical Systems, Springer, vol. 25(4), pages 519-538, October.
  60. Wang Yu & Guo Jinli & Liu Han, 2017. "A New Evaluation Method of Node Importance in Directed Weighted Complex Networks," Journal of Systems Science and Information, De Gruyter, vol. 5(4), pages 367-375, August.
  61. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
  62. Zhu, Canshi & Wang, Xiaoyang & Zhu, Lin, 2017. "A novel method of evaluating key nodes in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 96(C), pages 43-50.
  63. Yu, Senbin & Gao, Liang & Xu, Lida & Gao, Zi-You, 2019. "Identifying influential spreaders based on indirect spreading in neighborhood," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 418-425.
  64. Moebert, Jochen & Tydecks, Patrick, 2007. "Power and Ownership Structures among German Companies. A Network Analysis of Financial Linkages," Darmstadt Discussion Papers in Economics 179, Darmstadt University of Technology, Department of Law and Economics.
  65. Barthelemy, J. P. & Bisdorff, R. & Coppin, G., 2002. "Human centered processes and decision support systems," European Journal of Operational Research, Elsevier, vol. 136(2), pages 233-252, January.
  66. F Cadini & E Zio & L R Golea & C A Petrescu, 2011. "Application of multi-objective genetic algorithms to two case studies of reliability efficiency analysis and optimal expansion of electrical transmission networks," Journal of Risk and Reliability, , vol. 225(3), pages 365-374, September.
  67. Dongling Yu & Zuguo Yu, 2022. "HWVoteRank: A Network-Based Voting Approach for Identifying Coding and Non-Coding Cancer Drivers," Mathematics, MDPI, vol. 10(5), pages 1-13, March.
  68. Liu, Qiang & Zhu, Yu-Xiao & Jia, Yan & Deng, Lu & Zhou, Bin & Zhu, Jun-Xing & Zou, Peng, 2018. "Leveraging local h-index to identify and rank influential spreaders in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 379-391.
  69. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
  70. Yang, Xu-Hua & Xiong, Zhen & Ma, Fangnan & Chen, Xiaoze & Ruan, Zhongyuan & Jiang, Peng & Xu, Xinli, 2021. "Identifying influential spreaders in complex networks based on network embedding and node local centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  71. repec:dau:papers:123456789/7616 is not listed on IDEAS
  72. Gómez, Daniel & Figueira, José Rui & Eusébio, Augusto, 2013. "Modeling centrality measures in social network analysis using bi-criteria network flow optimization problems," European Journal of Operational Research, Elsevier, vol. 226(2), pages 354-365.
  73. Liu, Yun, 2014. "Outside options and CEO turnover: The network effect," Journal of Corporate Finance, Elsevier, vol. 28(C), pages 201-217.
  74. Mahendra Piraveenan & Mikhail Prokopenko & Liaquat Hossain, 2013. "Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-14, January.
  75. Jackie Krafft & Francesco Quatraro, 2011. "The Dynamics of Technological Knowledge: From Linearity to Recombination," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 7, Edward Elgar Publishing.
  76. Guijie Zhang & Luning Liu & Yuqiang Feng & Zhen Shao & Yongli Li, 2014. "Cext-N index: a network node centrality measure for collaborative relationship distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 291-307, October.
  77. Coromina, Lluís & Guia, Jaume & Coenders, Germà, 2005. "Social Network Measures for Nosduocentered Networks, their Predictive Power on Performance," Working Papers of the Department of Economics, University of Girona 13, Department of Economics, University of Girona.
  78. Benjamin Wagner & Andreas Pfnür, 2022. "Veränderungen für Projektentwickler in der immobilienwirtschaftlichen Transformation – Netzwerkanalyse und Stakeholder-Interviews zur Bestimmung handlungsrelevanter Einflüsse und strategischer Anpassu," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 8(1), pages 35-78, April.
  79. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
  80. Wang, Jiaoe & Mo, Huihui & Wang, Fahui & Jin, Fengjun, 2011. "Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 712-721.
  81. Mahmoud Saleh & Yusef Esa & Ahmed Mohamed, 2018. "Applications of Complex Network Analysis in Electric Power Systems," Energies, MDPI, vol. 11(6), pages 1-16, May.
  82. Cavalcanti, Carina & Engel, Stefanie & Leibbrandt, Andreas, 2013. "Social integration, participation, and community resource management," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 262-276.
  83. Hu, Xiao & Wang, Jiayi & Wu, Banggang, 2022. "Venture capital firms’ lead orientation, network position, and selection of familiar syndicate partners," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  84. B. G. Tóth, 2021. "The effect of attacks on the railway network of Hungary," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 567-587, June.
  85. Liu, Jian-Guo & Ren, Zhuo-Ming & Guo, Qiang, 2013. "Ranking the spreading influence in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4154-4159.
  86. Chengyuan Han & Dirk Witthaut & Marc Timme & Malte Schröder, 2019. "The winner takes it all—Competitiveness of single nodes in globalized supply networks," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-13, November.
  87. Zhao, Shuying & Sun, Shaowei, 2023. "Identification of node centrality based on Laplacian energy of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
  88. Belik, Ivan & Jörnsten, Kurt, 2016. "The method of leader's overthrow in networks based on Shapley value," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 55-66.
  89. Tord Høivik & Nils Gleditsch, 1970. "Structural parameters of graphs. A theoretical investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 4(1), pages 193-209, June.
  90. 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.
  91. 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.
  92. Enrico di Bella & Luca Gandullia & Sara Preti, 2021. "Analysis of scientific collaboration network of Italian Institute of Technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8517-8539, October.
  93. Cai, Wenxue & Liang, Fenfen & Wan, Yanchun & Zhong, Huiling & Gu, Yimiao, 2021. "An innovative approach for constructing a shipping index based on dynamic weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
  94. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2017. "AC power flow importance measures considering multi-element failures," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 89-97.
  95. Jaideep Ghosh & Avinash Kshitij & Sandeep Kadyan, 2015. "Functional information characteristics of large-scale research collaboration: network measures and implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1207-1239, February.
  96. Teqi Dai & Tiantian Ding & Qingfang Liu & Bingxin Liu, 2022. "Node Centrality Comparison between Bus Line and Passenger Flow Networks in Beijing," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
  97. Ji, Qiang & Fan, Ying, 2016. "Evolution of the world crude oil market integration: A graph theory analysis," Energy Economics, Elsevier, vol. 53(C), pages 90-100.
  98. Wang, Zhixiao & Zhao, Ya & Xi, Jingke & Du, Changjiang, 2016. "Fast ranking influential nodes in complex networks using a k-shell iteration factor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 171-181.
  99. Ai, Jun & He, Tao & Su, Zhan & Shang, Lihui, 2022. "Identifying influential nodes in complex networks based on spreading probability," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
  100. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2011. "The knowledge-base evolution in biotechnology: a social network analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(5), pages 445-475.
  101. Abdelaty, Hatem & Mohamed, Moataz & Ezzeldin, Mohamed & El-Dakhakhni, Wael, 2022. "Temporal robustness assessment framework for city-scale bus transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
  102. 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.
  103. Kathy Fogel & Liping Ma & Randall Morck, 2021. "Powerful independent directors," Financial Management, Financial Management Association International, vol. 50(4), pages 935-983, December.
  104. Qu, Junyi & Tang, Ming & Liu, Ying & Guan, Shuguang, 2020. "Identifying influential spreaders in reversible process," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
  105. Kumar, Sanjay & Panda, B.S., 2020. "Identifying influential nodes in Social Networks: Neighborhood Coreness based voting approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  106. Whittington, Kjersten Bunker, 2018. "“A tie is a tie? Gender and network positioning in life science inventor collaboration”," Research Policy, Elsevier, vol. 47(2), pages 511-526.
  107. M. Koenig & Claudio J. Tessone & Yves Zenou, "undated". "A Dynamic Model of Network Formation with Strategic Interactions," Working Papers CCSS-09-006, ETH Zurich, Chair of Systems Design.
  108. Giulia Masi & Giorgio Ricchiuti, 2020. "From FDI network topology to macroeconomic instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 133-158, January.
  109. Annalisa Caloffi & Stephen Pryke & Silvia R Sedita & Matti Siemiatycki, 2017. "Public–private partnerships and beyond: Potential for innovation and sustainable development," Environment and Planning C, , vol. 35(5), pages 739-745, August.
  110. Wang, Feifei & Sun, Zejun & Gan, Quan & Fan, Aiwan & Shi, Hesheng & Hu, Haifeng, 2022. "Influential node identification by aggregating local structure information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
  111. Simon Mukwembi & Senelani Dorothy Hove-Musekwa, 2012. "On bounds for the cutting number of a graph," Indian Journal of Pure and Applied Mathematics, Springer, vol. 43(6), pages 637-649, December.
  112. Li, Qian & Zhou, Tao & Lü, Linyuan & Chen, Duanbing, 2014. "Identifying influential spreaders by weighted LeaderRank," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 47-55.
  113. Zamudio, César & Anokhin, Sergey & Kellermanns, Franz W., 2014. "Network analysis: A concise review and suggestions for family business research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 63-71.
  114. Sheng, Jinfang & Dai, Jinying & Wang, Bin & Duan, Guihua & Long, Jun & Zhang, Junkai & Guan, Kerong & Hu, Sheng & Chen, Long & Guan, Wanghao, 2020. "Identifying influential nodes in complex networks based on global and local structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
  115. Mishkovski, Igor & Righero, Marco & Biey, Mario & Kocarev, Ljupco, 2011. "Enhancing robustness and synchronizability of networks homogenizing their degree distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4610-4620.
  116. Seongtae Kim & Claudia Colicchia & David Menachof, 2018. "Ethical Sourcing: An Analysis of the Literature and Implications for Future Research," Journal of Business Ethics, Springer, vol. 152(4), pages 1033-1052, November.
  117. Stefan M. Herzog & Thomas T. Hills, 2019. "Mediation Centrality in Adversarial Policy Networks," Complexity, Hindawi, vol. 2019, pages 1-15, April.
  118. Jing Yang & Yingwu Chen, 2011. "Fast Computing Betweenness Centrality with Virtual Nodes on Large Sparse Networks," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-5, July.
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