For each measure the name, reference, abbreviation, publish year and category are specified (if available). This list will be updated regularly.
If use this list please cite our papers as:
Jalili Mahdi, Salehzadeh-Yazdi Ali, et al. (2015) CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis. PLoS ONE 10(11): e0143111. DOI:10.1371/journal.pone.0143111
Jalili Mahdi, Salehzadeh-Yazdi Ali, et al. (2016) Evolution of centrality measurements for the detection of essential proteins in biological networks. Frontiers in Physiology, 7, p.375. DOI:10.3389/fphys.2016.00375
Mavroforakis C., Mathioudakis M., Gionis A., 2016. Absorbing random-walk centrality: Theory and algorithms. Proceedings - IEEE International Conference on Data Mining, ICDM, 2016-January, pp.901-906.
DOI: 10.1109/ICDM.2015.103
Year: 2016
Li J., Dueñas-Osorio L., Chen C., Shi C., 2017. AC power flow importance measures considering multi-element failures. Reliability Engineering and System Safety, 160, pp.89-97.
DOI: 10.1016/j.ress.2016.11.010
Year: 2017
Agryzkov T., Oliver J., Tortosa L., Vicent J., 2012. An algorithm for ranking the nodes of an urban network based on the concept of PageRank vector. Applied Mathematics and Computation, 219(4), pp.2186-2193.
DOI: 10.1016/j.amc.2012.08.064
Year: 2012
Agryzkov T., Tortosa L., Vicent J., 2016. New highlights and a new centrality measure based on the Adapted PageRank Algorithm for urban networks. Applied Mathematics and Computation, 291, pp.14-29.
DOI: 10.1016/j.amc.2016.06.036
Year: 2016
Agryzkov T., Curado M., Pedroche F., Tortosa L., Vicent J.F., 2019. Extending the adapted PageRank algorithm centrality to multiplex networks with data using the PageRank two-layer approach. Symmetry, 11(2).
DOI: 10.3390/sym11020284
Year: 2019
Category: Bipartite graph
[Caporossi, G., Paiva, M., Vukičevic, D. and Segatto, M., 2012. Centrality and betweenness: vertex and edge decomposition of the Wiener index. MATCH-Communications in Mathematical and Computer Chemistry, 68(1), p.293.]
Year: 2012
Liu G., Yao X., Luo Z., Kang S., Long W., Fan Q., Gao P., 2019. Agglomeration centrality to examine spatial scaling law in cities. Computers, Environment and Urban Systems, 77.
DOI: 10.1016/j.compenvurbsys.2019.101357
Year: 2019
Oliva G., Esposito Amideo A., Starita S., Setola R., Scaparra M.P., 2020. Aggregating centrality rankings: A novel approach to detect critical infrastructure vulnerabilities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11777 LNCS, pp.57-68.
DOI: 10.1007/978-3-030-37670-3_5
Year: 2020
Kirkland S., 2010. Algebraic connectivity for vertex-deleted subgraphs, and a notion of vertex centrality. Discrete Mathematics, 310(4), pp.911-921.
DOI: 10.1016/j.disc.2009.10.011
Year: 2010
Riveros C., Salas J., 2020. A family of centrality measures for graph data based on subgraphs. Leibniz International Proceedings in Informatics, LIPIcs, 155.
DOI: 10.4230/LIPIcs.ICDT.2020.23
Year: 2020
Zhou X., Liang X., Zhao J., Zhang S., 2018. Cycle Based Network Centrality. Scientific Reports, 8(1).
DOI: 10.1038/s41598-018-30249-4
Year: 2018
Bonacich P., Lloyd P., 2001. Eigenvector-like measures of centrality for asymmetric relations. Social Networks, 23(3), pp.191-201.
DOI: 10.1016/S0378-8733(01)00038-7
Year: 2001
Avrachenkov K., Litvak N., Medyanikov V., Sokol M., 2013. Alpha current flow betweenness centrality. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8305 LNCS, pp.106-117.
DOI: 10.1007/978-3-319-03536-9_9
Year: 2013
Prifti E., Zucker J.D., Clément K., Henegar C., 2010. Interactional and functional centrality in transcriptional co-expression networks. Bioinformatics, 26(24), pp.3083-3089.
DOI: 10.1093/bioinformatics/btq591
Year: 2010
Category: Biological network
Khadangi E., Bagheri A., 2017. Presenting novel application-based centrality measures for finding important users based on their activities and social behavior. Computers in Human Behavior, 73, pp.64-79.
DOI: 10.1016/j.chb.2017.03.014
Year: 2017
Riondato M., Upfal E., 2018. ABRA: Approximating betweenness centrality in static and dynamic graphs with rademacher averages. ACM Transactions on Knowledge Discovery from Data, 12(5).
DOI: 10.1145/3208351
Year: 2018
Category: Dynamic graph
Fontugne R., Shah A., Aben E., 2017. AS hegemony: A robust metric for as centrality. SIGCOMM Posters and Demos 2017 - Proceedings of the 2017 SIGCOMM Posters and Demos, Part of SIGCOMM 2017, , pp.48-50.
DOI: 10.1145/3123878.3131982
Year: 2017
Cickovski T., Peake E., Aguiar-Pulido V., Narasimhan G., 2017. ATria: A novel centrality algorithm applied to biological networks. BMC Bioinformatics, 18.
DOI: 10.1186/s12859-017-1659-z
Year: 2017
Category: Biological network
Skibski O., Rahwan T., Michalak T., Yokoo M., 2019. Attachment centrality: Measure for connectivity in networks. Artificial Intelligence, 274, pp.151-179.
DOI: 10.1016/j.artint.2019.03.002
Year: 2016
del Rio G., Koschützki D., Coello G., 2009. How to identify essential genes from molecular networks?. BMC Systems Biology, 3, pp.102.
DOI: 10.1186/1752-0509-3-102
Year: 2009
Bonacich, P., 1987. Power and centrality: A family of measures. American journal of sociology, 92(5), pp.1170-1182.
DOI: 10.1086/228631
Year: 1987
Year: 2009
Lv L., Zhang K., Bardou D., Zhang T., Zhang J., Cai Y., Jiang T., 2019. A new centrality measure based on random walks for multilayer networks under the framework of tensor computation. Physica A: Statistical Mechanics and its Applications, 526.
DOI: 10.1016/j.physa.2019.04.236
Year: 2019
Category: Bipartite graph
Year: 2014
Avrachenkov K., Mazalov V., Tsynguev B., 2015. Beta current flow centrality for weighted networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9197, pp.216-227.
DOI: 10.1007/978-3-319-21786-4_19
Year: 2015
Freeman, Linton. 1977. A set of measures of centrality based on betweenness. Sociometry. 40 (1): 35–41.
DOI: 10.2307/3033543
Year: 1977
Zhai L., Yan X., Zhang G., 2018. Bi-directional h-index: A new measure of node centrality in weighted and directed networks. Journal of Informetrics, 12(1), pp.299-314.
DOI: 10.1016/j.joi.2018.01.004
Year: 2018
[Yi, Y., Shan, L., Li, H. and Zhang, Z., 2018, July. Biharmonic distance related centrality for edges in weighted networks. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (pp. 3620-3626).]
Year: 2018
Category: Edge centrality, Weighted graph
Estrada E., Rodríguez-Velázquez J.A., 2005. Spectral measures of bipartivity in complex networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 72(4).
DOI: 10.1103/PhysRevE.72.046105
Year: 2005
Category: Biological network, Bipartite graph
He X., Gao M., Kan M.Y., Wang D., 2017. BiRank: Towards Ranking on Bipartite Graphs. IEEE Transactions on Knowledge and Data Engineering, 29(1), pp.57-71.
DOI: 10.1109/TKDE.2016.2611584
Year: 2017
Category: Bipartite graph
Bonacich, P., 1987. Power and centrality: A family of measures. American journal of sociology, 92(5), pp.1170-1182.
DOI: 10.1086/228631
Year: 1987
[Allouch, N., Meca, A. and Polotskaya, K., 2021. The Bonacich Shapley centrality. School of Economics, University of Kent.]
Year: 2021
Pržulj N., Wigle D., Jurisica I., 2004. Functional topology in a network of protein interactions. Bioinformatics, 20(3), pp.340-348.
DOI: 10.1093/bioinformatics/btg415
Year: 2004
Category: Biological network
Borgatti S., Everett M., 2006. A Graph-theoretic perspective on centrality. Social Networks, 28(4), pp.466-484.
DOI: 10.1016/j.socnet.2005.11.005
Year: 2006
Glattfelder J., 2019. THE BOW-TIE CENTRALITY: A NOVEL MEASURE for DIRECTED and WEIGHTED NETWORKS with AN INTRINSIC NODE PROPERTY. Advances in Complex Systems, .
DOI: 10.1142/S0219525919500188
Year: 2019
Category: Weighted graph, Directed graph
Jensen P., Morini M., Karsai M., Venturini T., Vespignani A., Jacomy M., Cointet J.P., Mercklé P., Fleury E., 2016. Detecting global bridges in networks. Journal of Complex Networks, 4(3), pp.319-329.
DOI: 10.1093/comnet/cnv022
Year: 2016
Nepusz T., Petróczi A., Négyessy L., Bazsó F., 2008. Fuzzy communities and the concept of bridgeness in complex networks. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 77(1).
DOI: 10.1103/PhysRevE.77.016107
Year: 2008
Salavati C., Abdollahpouri A., Manbari Z., 2018. BridgeRank: A novel fast centrality measure based on local structure of the network. Physica A: Statistical Mechanics and its Applications, 496, pp.635-653.
DOI: 10.1016/j.physa.2017.12.087
Year: 2018
Hwang W., Kim T., Ramanathan M., Zhang A., 2008. Bridging centrality: Graph mining from element level to group level. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, , pp.336-344.
DOI: 10.1145/1401890.1401934
Year: 2008
Aleskerov F., Roman A., Rezyapova A., Yakuba V., 2020. New Centrality Measures in Networks and their Applications to the International Trade and Migration Networks. Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS, 2020-November.
DOI: 10.1109/MASCOTS50786.2020.9285957
Year: 2020
Burt R., 2004. Structural holes and good ideas. American Journal of Sociology, 110(2), pp.349-399.
DOI: 10.1086/421787
Year: 2004
Year: 2016
Sun H., Liang Y., Chen L., Wang Y., Du W., Shi X., 2013. An improved sum of edge clustering coefficient method for essential protein identification. Journal of Bionanoscience, 7(4), pp.386-390.
DOI: 10.1166/jbns.2013.1152
Year: 2013
Category: Biological network
Chang Y.C., Lai K.T., Chou S.C.T., Chiang W.C., Lin Y.C., 2021. Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk. Data Technologies and Applications, 55(1), pp.1-18.
DOI: 10.1108/DTA-05-2020-0103
Year: 2021
Year: 2009
Sun H., Liang Y., Chen L., Wang Y., Du W., Shi X., 2013. An improved sum of edge clustering coefficient method for essential protein identification. Journal of Bionanoscience, 7(4), pp.386-390.
DOI: 10.1166/jbns.2013.1152
Year: 2013
Category: Biological network
Sun H., Liang Y., Chen L., Wang Y., Du W., Shi X., 2013. An improved sum of edge clustering coefficient method for essential protein identification. Journal of Bionanoscience, 7(4), pp.386-390.
DOI: 10.1166/jbns.2013.1152
Year: 2013
Category: Biological network
[Zhang, W., 2016. Screening node attributes that significantly influence node centrality in the network. Selforganizology, 3(3), pp.75-86.]
Year: 2016
Yao Y., Xiao X., Zhang C., Xia S., 2018. Classifying quality centrality for source localization in social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10966 LNCS, pp.295-307.
DOI: 10.1007/978-3-319-94289-6_19
Year: 2018
Chen C., Wang W., Wang X., 2016. Efficient maximum closeness centrality group identification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9877 LNCS, pp.43-55.
DOI: 10.1007/978-3-319-46922-5_4
Year: 2016
Bavelas A., 1950. Communication Patterns in Task-Oriented Groups. Journal of the Acoustical Society of America, 22(6), pp.725-730.
DOI: 10.1121/1.1906679
Year: 1950
[Brandes, U., 2005. Network analysis: methodological foundations (Vol. 3418). Springer Science & Business Media.]
Year: 2005
Carrizosa E., Marin A., Pelegrin M., 2020. Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality. IEEE Systems Journal, 14(3), pp.3916-3925.
DOI: 10.1109/JSYST.2020.2982266
Year: 2020
Chen D.B., Gao H., Lü L., Zhou T., 2013. Identifying influential nodes in large-scale directed networks: The role of clustering. PLoS ONE, 8(10).
DOI: 10.1371/journal.pone.0077455
Year: 2013
Kolaczyk E., Chua D., Barthélemy M., 2009. Group betweenness and co-betweenness: Inter-related notions of coalition centrality. Social Networks, 31(3), pp.190-203.
DOI: 10.1016/j.socnet.2009.02.003
Year: 2009
Zhang X., Xu J., Xiao W.x., 2013. A New Method for the Discovery of Essential Proteins. PLoS ONE, 8(3).
DOI: 10.1371/journal.pone.0058763
Year: 2013
Category: Biological network
Deng H., Lyu M., King I., 2009. A generalized Co-HITS algorithm and its application to bipartite graphs. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, , pp.239-247.
DOI: 10.1145/1557019.1557051
Year: 2009
Category: Bipartite graph
Gouveia C., Móréh Á., Jordán F., 2021. Combining centrality indices: Maximizing the predictability of keystone species in food webs. Ecological Indicators, 126.
DOI: 10.1016/j.ecolind.2021.107617
Year: 2021
Category: Biological network, Combination
Şimşek M., Meyerhenke H., 2020. Combined centrality measures for an improved characterization of influence spread in social networks. Journal of Complex Networks, 8(1).
DOI: 10.1093/comnet/cnz048
Year: 2020
Category: Combination
Das A., Biswas A., 2021. Rumor Source Identification on Social Networks: A Combined Network Centrality Approach. Advances in Intelligent Systems and Computing, 1299 AISC, pp.269-280.
DOI: 10.1007/978-981-33-4299-6_22
Year: 2021
Category: Combination
Fei L., Mo H., Deng Y., 2017. A new method to identify influential nodes based on combining of existing centrality measures. Modern Physics Letters B, 31(26).
DOI: 10.1142/S0217984917502438
Year: 2017
Category: Combination
Agryzkov T., Pedroche F., Tortosa L., Vicent J.F., 2018. Combining the two-layers pageRank approach with the APA centrality in networks with data. ISPRS International Journal of Geo-Information, 7(12).
DOI: 10.3390/ijgi7120480
Year: 2018
Jianwei W., Lili R., Tianzhu G., 2008. A new measure of node importance in complex networks with tunable parameters. 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, .
DOI: 10.1109/WiCom.2008.1170
Year: 2008
Category: Combination
Estrada E., Higham D.J., Hatano N., 2009. Communicability betweenness in complex networks. Physica A: Statistical Mechanics and its Applications, 388(5), pp.764-774.
DOI: 10.1016/j.physa.2008.11.011
Year: 2009
Year: 2008
Newman M.E.J., 2006. Finding community structure in networks using the eigenvectors of matrices. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 74(3).
DOI: 10.1103/PhysRevE.74.036104
Year: 2006
Das K., Samanta S., De K., Pal M., 2020. Complete neighbourhood centrality and its application. 4th International Conference on Computational Intelligence and Networks, CINE 2020, .
DOI: 10.1109/CINE48825.2020.234386
Year: 2020
Lu P., Yu J.J., 2020. A mixed clustering coefficient centrality for identifying essential proteins. International Journal of Modern Physics B, 34(10).
DOI: 10.1142/S0217979220500903
Year: 2020
Joseph A., Chen G., 2014. Composite centrality: A natural scale for complex evolving networks. Physica D: Nonlinear Phenomena, 267, pp.58-67.
DOI: 10.1016/j.physd.2013.08.005
Year: 2014
Category: Edge centrality
Li X., Liu Y., Jiang Y., Liu X., 2016. Identifying social influence in complex networks: A novel conductance eigenvector centrality model. Neurocomputing, 210, pp.141-154.
DOI: 10.1016/j.neucom.2015.11.123
Year: 2016
Amano S., Ogawa K., Miyake Y., 2018. Node property of weighted networks considering connectability to nodes within two degrees of separation. Scientific Reports, 8(1).
DOI: 10.1038/s41598-018-26781-y
Year: 2018
Category: Weighted graph
Wang Q., Yu X., Zhang X., 2013. A connectionist model-based approach to centrality discovery in social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8178 LNAI, pp.82-94.
DOI: 10.1007/978-3-319-04048-6_8
Year: 2013
[Gao, S. and Caines, P.E., 2018, July. Consensus-induced Centrality for Networks of Dynamical Systems. In Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems, Hong Kong, China (pp. 769-775).]
Year: 2018
Fushimi T., Satoh T., Saito K., Kazama K., Kando N., 2016. Content centrality measure for networks: Introducing distance-based Decay weights. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10047 LNCS, pp.40-54.
DOI: 10.1007/978-3-319-47874-6_4
Year: 2016
Izaac J.A., Zhan X., Bian Z., Wang K., Li J., Wang J.B., Xue P., 2017. Centrality measure based on continuous-time quantum walks and experimental realization. Physical Review A, 95(3).
DOI: 10.1103/PhysRevA.95.032318
Year: 2017
Liu Y., Slotine J., Barabási A., 2012. Control Centrality and Hierarchical Structure in Complex Networks. PLoS ONE, 7(9).
DOI: 10.1371/journal.pone.0044459
Year: 2012
Keng Y.Y., Kwa K.H., McClain C., 2020. Convex combinations of centrality measures. Journal of Mathematical Sociology, .
DOI: 10.1080/0022250X.2020.1765776
Year: 2020
Category: Combination
Aleskerov F., Roman A., Rezyapova A., Yakuba V., 2020. New Centrality Measures in Networks and their Applications to the International Trade and Migration Networks. Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS, 2020-November.
DOI: 10.1109/MASCOTS50786.2020.9285957
Year: 2020
Bae J., Kim S., 2014. Identifying and ranking influential spreaders in complex networks by neighborhood coreness. Physica A: Statistical Mechanics and its Applications, 395, pp.549-559.
DOI: 10.1016/j.physa.2013.10.047
Year: 2014
Ovelgönne M., Kang C., Sawant A., Subrahmanian V., 2012. Covertness centrality in networks. Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, , pp.863-870.
DOI: 10.1109/ASONAM.2012.156
Year: 2012
[Williams, J., 2019. Identifying sensitive components in infrastructure networks via critical flows. engrXiv.]
Year: 2019
Category: Weighted graph
Faghani M., Nguyen U., 2013. A study of xss worm propagation and detection mechanisms in online social networks. IEEE Transactions on Information Forensics and Security, 8(11), pp.1815-1826.
DOI: 10.1109/TIFS.2013.2280884
Year: 2013
Ibrahim M.H., Missaoui R., Vaillancourt J., 2020. Cross-Face Centrality: A New Measure for Identifying Key Nodes in Networks Based on Formal Concept Analysis. IEEE Access, 8, pp.206901-206913.
DOI: 10.1109/ACCESS.2020.3038306
Year: 2020
Chakraborty T., Narayanam R., 2016. Cross-layer betweenness centrality in multiplex networks with applications. 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, , pp.397-408.
DOI: 10.1109/ICDE.2016.7498257
Year: 2016
Ma Y., Liu M., Zhang P., Qi X., 2018. CS-TOTR: A new vertex centrality method for directed signed networks based on status theory. International Journal of Modern Physics C, 29(5).
DOI: 10.1142/S0129183118400028
Year: 2018
Category: Directed graph, Negative edge
Zhou H., Ruan M., Zhu C., Leung V.C.M., Xu S., Huang C.M., 2018. A Time-Ordered Aggregation Model-Based Centrality Metric for Mobile Social Networks. IEEE Access, 6, pp.25588-25599.
DOI: 10.1109/ACCESS.2018.2831247
Year: 2018
Category: Combination
Brandes U., Fleischer D., 2005. Centrality measures based on current flow. Lecture Notes in Computer Science, 3404, pp.533-544.
DOI: 10.1007/978-3-540-31856-9_44
Year: 2005
Brandes U., Fleischer D., 2005. Centrality measures based on current flow. Lecture Notes in Computer Science, 3404, pp.533-544.
DOI: 10.1007/978-3-540-31856-9_44
Year: 2005
Giscard P., Wilson R., 2018. Cycle-centrality in economic and biological networks. Studies in Computational Intelligence, 689, pp.14-28.
DOI: 10.1007/978-3-319-72150-7_2
Year: 2018
Dangalchev C., 2006. Residual closeness in networks. Physica A: Statistical Mechanics and its Applications, 365(2), pp.556-564.
DOI: 10.1016/j.physa.2005.12.020
Year: 2006
[Jackson, M. O. 2008. Social and economic networks, volume 3. Princeton university press.]
Year: 2008
Forouzandeh S., Sheikhahmadi A., Rezaei Aghdam A., Xu S., 2018. New centrality measure for nodes based on user social status and behavior on Facebook. International Journal of Web Information Systems, 14(2), pp.158-176.
DOI: 10.1108/IJWIS-07-2017-0053
Year: 2018
Fan M., Cao Z., Cheng J., Yang F., Qi X., 2020. Degree-like centrality with structural zeroes or ones: When is a neighbor not a neighbor?. Social Networks, 63, pp.38-46.
DOI: 10.1016/j.socnet.2020.05.002
Year: 2020
Kaur M., Singh S., 2017. Ranking based comparative analysis of graph centrality measures to detect negative nodes in online social networks. Journal of Computational Science, 23, pp.91-108.
DOI: 10.1016/j.jocs.2017.10.018
Year: 2017
Category: Negative edge
[Euler, L., 1741. Solutio problematis ad geometriam situs pertinentis. Commentarii academiae scientiarum Petropolitanae, pp.128-140.]
Year: 1741
Wang Z., Pei X., Wang Y., Yao Y., 2017. Ranking the key nodes with temporal degree deviation centrality on complex networks. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, , pp.1484-1489.
DOI: 10.1109/CCDC.2017.7978752
Year: 2017
Category: Dynamic graph
Li C., Li Q., Van Mieghem P., Stanley H.E., Wang H., 2015. Correlation between centrality metrics and their application to the opinion model. European Physical Journal B, 88(3), pp.1-13.
DOI: 10.1140/epjb/e2015-50671-y
Year: 2015
del Rio G., Koschützki D., Coello G., 2009. How to identify essential genes from molecular networks?. BMC Systems Biology, 3, pp.102.
DOI: 10.1186/1752-0509-3-102
Year: 2009
Cheng Y., Lee R., Lim E., Zhu F., 2013. DelayFlow centrality for identifying critical nodes in transportation networks. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, , pp.1462-1463.
DOI: 10.1145/2492517.2492595
Year: 2013
Ibnoulouafi A., El Haziti M., 2018. Density centrality: identifying influential nodes based on area density formula. Chaos, Solitons and Fractals, 114, pp.69-80.
DOI: 10.1016/j.chaos.2018.06.022
Year: 2018
Lin C., Chin C., Wu H., Chen S., Ho C., Ko M., 2008. Hubba: hub objects analyzer–a framework of interactome hubs identification for network biology.. Nucleic acids research, 36(Web Server issue).
DOI: 10.1093/nar/gkn257
Year: 2008
Roohi L., Rubinstein B.I.P., Teague V., 2019. Differentially-Private Two-Party Egocentric Betweenness Centrality. Proceedings - IEEE INFOCOM, 2019-April(), pp.2233-2241.
DOI: 10.1109/INFOCOM.2019.8737405
Year: 2019
Mistry D., Wise R.P., Dickerson J.A., 2017. DiffSLC: A graph centrality method to detect essential proteins of a protein-protein interaction network. PLoS ONE, 12(11).
DOI: 10.1371/journal.pone.0187091
Year: 2017
Category: Biological network, Combination
Kang C., Kraus S., Molinaro C., Spezzano F., Subrahmanian V., 2016. Diffusion centrality: A paradigm to maximize spread in social networks. Artificial Intelligence, 239, pp.70-96.
DOI: 10.1016/j.artint.2016.06.008
Year: 2016
Kundu S., Murthy C., Pal S., 2011. A new centrality measure for influence maximization in social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6744 LNCS, pp.242-247.
DOI: 10.1007/978-3-642-21786-9_40
Year: 2011
Natale F., Savini L., Giovannini A., Calistri P., Candeloro L., Fiore G., 2011. Evaluation of risk and vulnerability using a Disease Flow Centrality measure in dynamic cattle trade networks. Preventive Veterinary Medicine, 98(2-3), pp.111-118.
DOI: 10.1016/j.prevetmed.2010.11.013
Year: 2011
Park J., Hescott B.J., Slonim D.K., 2019. Pathway centrality in protein interaction networks identifies putative functional mediating pathways in pulmonary disease. Scientific Reports, 9(1).
DOI: 10.1038/s41598-019-42299-3
Year: 2019
Category: Biological network
Stella M., De Domenico M., 2018. Distance entropy cartography characterises centrality in complex networks. Entropy, 20(4).
DOI: 10.3390/e20040268
Year: 2018
Fronzetti Colladon A., Naldi M., 2020. Distinctiveness centrality in social networks. PLoS ONE, 15(5).
DOI: 10.1371/journal.pone.0233276
Year: 2020
Category: Weighted graph
Lulli A., Ricci L., Carlini E., Dazzi P., 2015. Distributed Current Flow Betweenness Centrality. International Conference on Self-Adaptive and Self-Organizing Systems, SASO, 2015-October, pp.71-80.
DOI: 10.1109/SASO.2015.15
Year: 2015
Lyu L., Fain B., Munagala K., Wang K., 2021. Centrality with Diversity. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, , pp.644-652.
DOI: 10.1145/3437963.3441789
Year: 2021
Lin C., Chin C., Wu H., Chen S., Ho C., Ko M., 2008. Hubba: hub objects analyzer–a framework of interactome hubs identification for network biology.. Nucleic acids research, 36(Web Server issue).
DOI: 10.1093/nar/gkn257
Year: 2008
Chen G., Zhou S., Liu J., Li M., Zhou Q., 2020. Influential node detection of social networks based on network invulnerability. Physics Letters, Section A: General, Atomic and Solid State Physics, 384(34).
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