CentiServer
comprehensive centrality resource and server for centralities calculation version: 1.0.0

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The Centiserver on OMICTools

OMICtools



Alphabetically sorted list

  1. ABRA - Approximating Betweenness CentralityNew
  2. Absorbing Random-walk CentralityNew
  3. Alpha Centrality
  4. APA - Adapted PageRank AlgorithmNew
  5. APA Based - Adapted PageRank Algorithm BasedNew
  6. ATC - Annotation Transcriptional Centrality
  7. ATriaNew
  8. Attachment CentralityNew
  9. Average Distance
  10. Bargaining Centrality
  11. Barycenter Centrality
  12. Bayesian Centrality
  13. Bipartivity
  14. Bonacich Power Centrality
  15. BottleNeck
  16. BridgenessNew
  17. Bridgeness CentralityNew
  18. Bridging Centrality
  19. Burt's constraint
  20. CBC - Cross-Layer Betweenness CentralityNew
  21. CEC - Conductance Eigenvector CentralityNew
  22. Cext-N - Extensity Centrality-NewmanNew
  23. CCIS
  24. Centroid Value
  25. Circuit CentralityNew
  26. Closeness Centrality
  27. Closeness Centrality Group IdentificationNew
  28. Closeness Vitality
  29. ClusterRank
  30. Co-Betweenness Centrality
  31. CoEWC - Co-Expression Weighted by Clustering CoefficientNew
  32. Combining of Existing Centrality MeasuresNew
  33. Communicability Centrality
  34. Communicability Betweenness Centrality
  35. Community Centrality
  36. Composite Centrality
  37. Connectionist CentralityNew
  38. Content CentralityNew
  39. Continuous-time Quantum Walks CentralityNew
  40. Control Centrality
  41. Coreness CentralityNew
  42. Covertness Centrality
  43. C-path CentralityNew
  44. Cross-Clique Connectivity
  45. Current-Flow Betweenness Centrality
  46. Alpha Current-Flow Betweenness CentralityNew
  47. Truncated Alpha Current-Flow Betweenness CentralityNew
  48. Beta Current-Flow Betweenness CentralityNew
  49. Distributed Current-Flow Betweenness CentralityNew
  50. Current-Flow Closeness Centrality
  51. Dangalchev Closeness Centrality
  52. DC - Diffusion CentralityNew
  53. Decay Centrality
  54. Degree Centrality
  55. Degree Sphere Centrality
  56. DelayFlow Centrality
  57. DFC - Disease Flow Centrality
  58. Diffusion Degree
  59. DMNC - Density of Maximum Neighborhood Component
  60. DS - Dynamic-Sensitive CentralityNew
  61. DSS - Double Screening Scheme
  62. Eccentricity Centrality
  63. EDCC - Effective Distance Closeness CentralityNew
  64. Edge Disjoint K-path Centrality
  65. Edge Weighted
  66. Effectiveness
  67. Efficiency CentralityNew
  68. EGC
  69. Ego-betweenness CentralityNew
  70. Eigentrust
  71. Eigenvector Centrality
  72. Entropy Centrality
  73. EPC - Edge Percolated Component
  74. Epidemic CentralityNew
  75. Flow Betweenness Centrality
  76. Flux Centrality
  77. Fuzzy Closeness Centrality
  78. Game Centrality
  79. Geodesic K-Path Centrality
  80. GFT - Graph Fourier Transform CentralityNew
  81. Graphlet Degree Centrality
  82. Group Betweenness Centrality
  83. Harary Graph Centrality
  84. H-group Closeness CentralityNew
  85. Harmonic Centrality
  86. HellRankNew
  87. HITS - Hypertext Induced Topic Selection
  88. HITS Based Page Rank
  89. Holevo Quantity - Edge CentralityNew
  90. Holevo Quantity - Vertex CentralityNew
  91. Hubbell Index
  92. Information Centrality
  93. Integration Centrality
  94. K-Core Decomposition
  95. κ-Betweenness Centrality
  96. κ-Path Centrality
  97. Katz Centrality (Katz Status Index)
  98. KatzR Centrality
  99. Kirchhoff CentralityNew
  100. Kleinberg's Centrality
  101. Knotty Centrality
  102. KSC - K-Shell and Community Centrality
  103. LA - Local Assortativity
  104. LAC - Local Average Connectivity-Based Method
  105. Laplacian Centrality
  106. LeaderRank
  107. Leverage Centrality
  108. LID - Local Interaction DensityNew
  109. Lin Centrality
  110. Load Centrality
  111. Lobby Index (Centrality)
  112. Local Bridging CentralityNew
  113. Local Clustering Coefficient
  114. LCCDC - Local Clustering Coefficient-based Degree CentralityNew
  115. Markov Centrality
  116. Maximum Influence Degree
  117. MCC - Maximal Clique Centrality
  118. Meta-CentralityNew
  119. MNC - Maximum Neighborhood Component
  120. Motif-Based Centrality
  121. Modularity Centrality
  122. Modularity Density Centrality
  123. NC - Network Centrality
  124. NC – Normalized α-Centrality
  125. Neighbor Based Centrality
  126. Neighborhood Connectivity
  127. Network Motif Centrality
  128. NFC - Neighborhood Functional Centrality
  129. Nonbacktracking Walk CentralityNew
  130. Opinion CentralityNew
  131. PageRank
  132. Pairwise Disconnectivity Index
  133. PCen CentralityNew
  134. PeC Centrality
  135. Percolation Centrality
  136. Personalized Katz
  137. Personalized PageRank
  138. Perturbation Centrality
  139. Principal Component Centrality
  140. Radiality Centrality
  141. Random-Walk Betweenness Centrality
  142. Random-Walk Closeness Centrality
  143. Ranking-Betweenness Centrality
  144. Relative Edge Betweenness CentralityNew
  145. Residual Closeness Centrality
  146. Residue CentralityNew
  147. ρ-Geodesic Betweenness CentralityNew
  148. SALSA
  149. Shortest-Paths Betweenness Centrality
  150. Semi Local Centrality
  151. SoECC - Sum of Edge Clustering Coefficient
  152. Straightness Centrality
  153. Strength (Weighted vertex degree)
  154. Stress Centrality
  155. Subgraph Centrality
  156. TDC - Temporal Dynamic-Sensitive CentralityNew
  157. TEONew
  158. Tempo CentralityNew
  159. Topological Coefficient
  160. Trust Transitivity
  161. SVT - Singular Vector of Tensor CentralityNew
  162. TwitterRank
  163. WDC - Weighted Degree Centrality
  164. Weight Neighborhood CentralityNew
  165. Weighted LeaderRank

Centrality in biological networks


Related works:
  • LI, M., ZHANG, H., WANG, J.-X. & PAN, Y. 2012. A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data. BMC systems biology, 6, 15.
  • PRIFTI, E., ZUCKER, J. D., CLEMENT, K. & HENEGAR, C. 2010. Interactional and functional centrality in transcriptional co-expression networks. Bioinformatics, 26, 3083-9.
  • WANG, P., LÜ, J. & YU, X. 2014. Identification of Important Nodes in Directed Biological Networks: A Network Motif Approach. PLoS ONE, 9, e106132.
  • WANG, Y., SUN, H., DU, W., BLANZIERI, E., VIERO, G., XU, Y. & LIANG, Y. 2014. Identification of Essential Proteins Based on Ranking Edge-Weights in Protein-Protein Interaction Networks. PLoS ONE, 9, e108716.


Centrality in 2-mode networks (Bipartite)


Related works:
  • BORGATTI, S. P. 2009. 2-mode concepts in social network analysis. Encyclopedia of Complexity and System Science, 8279-8291.
  • BORGATTI, S. P. & EVERETT, M. G. 1997. Network analysis of 2-mode data. Social Networks, 19, 243-269.
  • EVERETT, M. G. & BORGATTI, S. P. 2005. Models and methods in social network analysis.
  • FAUST, K. 1997. Centrality in affiliation networks. Social Networks, 19, 157-191.
  • LIEBIG, J. & RAO, A. 2014. A Clustering Coefficient to Identify Important Nodes in Bipartite Networks. arXiv preprint arXiv:1406.5814.

Centrality in dynamic networks


Related works:
  • BRAHA, D. & BAR-YAM, Y. 2006. From centrality to temporary fame: Dynamic centrality in complex networks. Complexity, 12, 59-63.
  • GHOSH, R. & LERMAN, K. 2012. Rethinking centrality: the role of dynamical processes in social network analysis. arXiv preprint arXiv:1209.4616.
  • KLEMM, K., SERRANO, M. Á., EGUÍLUZ, V. M. & MIGUEL, M. S. 2012. A measure of individual role in collective dynamics. Sci. Rep., 2.
  • LERMAN, K., GHOSH, R. & KANG, J. H. 2010. Centrality metric for dynamic networks. Proceedings of the Eighth Workshop on Mining and Learning with Graphs. Washington, D.C.: ACM.
  • MASUDA, N. & KORI, H. 2010. Dynamics-based centrality for directed networks. Physical Review E, 82, 056107.
  • SIMKO, G. I. & CSERMELY, P. 2013. Nodes having a major influence to break cooperation define a novel centrality measure: game centrality. PLoS One, 8, e67159.
  • SZALAY, K. Z. & CSERMELY, P. 2013. Perturbation centrality and Turbine: a novel centrality measure obtained using a versatile network dynamics tool. PLoS One.
  • VUKADINOVIĆ GREETHAM, D., STOYANOV, Z. & GRINDROD, P. 2013. Centrality and Spectral Radius in Dynamic Communication Networks. In: DU, D.-Z. & ZHANG, G. (eds.) Computing and Combinatorics. Springer Berlin Heidelberg.

Centrality in weighted networks


Related works:
  • ABBASI, A. Hybrid centrality measures for binary and weighted networks. 3rd workshop on Complex Networks, 2012.
  • BOHN, A., THEUßL, S., FEINERER, I., HORNIK, K., MAIR, P. & WALCHHOFER, N. 2009. Combining Weighted Centrality and Network Clustering. Vienna: Department of Statistics and Mathematics, WU Vienna University of Economics and Business.
  • WANG, Y., SUN, H., DU, W., BLANZIERI, E., VIERO, G., XU, Y. & LIANG, Y. 2014. Identification of Essential Proteins Based on Ranking Edge-Weights in Protein-Protein Interaction Networks. PLoS ONE, 9, e108716.
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