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A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can read and write a multitude of differently formatted text files, as well as Excel files.
| C Library Cytoscape Plugin Graph database Java framework | Java standalone MatLab toolbox Python R package | Web based Windows |
- UCINET 6.0 requires a computer running Windows 95 (from 1997 or more recent), Windows 98, NT or other compatible operating system. The program requires 2mb of hard disk storage space and 16mb of.
- MAC The best way to run UCINET on a Mac is to use a Windows emulator such as Parallels (or, of course, Bootcamp). However, it is (often) possible to run UCINET on a Mac using Wine.
| Product | Centralities | Platform | License | Ref |
AllegroGraphhttp://franz.com/agraph/allegrograph/ AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage, enabling it to scale to billions of quads while maintaining superior performance. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications. | Betweenness centrality Closeness centrality Degree centrality | Graph database (Linux) | Free Commercial | |
The Brain Connectivity Toolbox (BCT)http://www.brain-connectivity-toolbox.net/ The BCT contains a large selection of complex network measures in Matlab. These measures are increasingly used to characterize structural and functional brain connectivity datasets. | Edge betweenness centrality K-coreness centrality Node betweenness centrality Node-wise flow coefficients PageRank centrality Participation coefficient Shannon-entropy based diversity coefficient Shortcuts (erange) Spectral measure of centrality Subgraph centrality Within-module degree z-score | MatLab toolbox | Free Open source | |
CentiBiNhttp://centibin.ipk-gatersleben.de/ | Bargaining centrality Centroid value Closeness centrality Closeness Vitality Current-Flow Betweenness centrality Current-Flow Closeness centrality Degree centrality Eccentricity centrality Eigenvector centrality HITS Hubbell Index Katz Status Index PageRank Radiality centrality Shortest-Paths Betweenness centrality Stress centrality | Java standalone | Free | |
CentiLibhttp://centilib.ipk-gatersleben.de/ CentiLib is a Java-library for the computation and investigation of weighted and unweighted centralities in biological networks. | Betweenness centrality Centroid centrality Closeness centrality Current-flow closeness centrality Current-flow betweenness centrality Degree centrality Eccentricity centrality Eigenvector centrality HITS Hubbel index Katz status index centrality PageRank Radiality centrality Stress centrality | Java-library Vanted/Cytoscape | Free Open source | |
CentiScaPehttp://www.cbmc.it/~scardonig/centiscape/centiscape.php Find the most important nodes in a network, calculating centrality parameters for each node. | Betweenness centrality (vertex/edge) Bridging centrality Centroid centrality Closeness centrality Eccentricity centrality Eigenvector centrality Radiality centrality Stress centrality | Cytoscape Plugin | Free | |
CePahttps://cran.r-project.org/web/packages/CePa/ Centrality-based pathway enrichment. Use pathway topology information to assign weight to pathway nodes. | Radiality centrality Reach centrality | R Package | Free | |
CINNAhttps://cran.r-project.org/web/packages/CINNA/ It is an R package available on CRAN repository specialized for network centrality analysis. It is a tool for centrality comparison using dimensional reduction algorithms | Dangalchev closeness centrality Group centrality Local bridging centrality Harmonic centrality Wiener index centrality | R Package | Free | |
cyto-Hubbahttp://hub.iis.sinica.edu.tw/cytohubba/ cytoHubba is a Java plugin for Cytoscape, a facilitated platform for the analysis and visualization of molecular interaction networks based on web application, Hubba. | Bottleneck (BN) Degree Density of Maximum Neighborhood Component (DMNC) Double Screening Scheme (DSS) of MNC || DMNC Edge Percolated Component (EPC) Maximum Neighborhood Component (MNC) | Cytoscape plugin | Free | |
CytoNCAhttp://apps.cytoscape.org/apps/cytonca Providing calculation, evaluation and visualization analysis for several centralities of weighted and unweighted network. | Betweenness centrality Closeness centrality Degree centrality Eigenvector centrality Information centrality Local Average Connectivity-based method (LAC) Network centrality (NC) Subgraph centrality | Cytoscape Plugin | Free | |
EgoNethttp://escoladeredes.net/profiles/blogs/egonet-1 http://sourceforge.net/projects/egonet/ EgoNet (Egocentric Network Study Software) for the collection and analysis of egocentric social network data.[1] It helps the user to collect and analyse all the egocentric network data (all social network data of a website on the Internet), and provide general global network measures and data matrixes that can be used for further analysis by other software. | Betweenness centrality Closeness centrality Degree centrality | Java standalone | Free | |
Functional Genomics Assistant (FUGA)http://code.google.com/p/fuga is a MATLAB toolbox for inference and analysis of biological and cellular networks. | Clustering coefficient (parallelized) Eccentricity centrality Local efficiency Node betweenness centrality (parallelized) Node degree centrality Node eigenvector centrality | MatLab toolbox | Free Open source | |
Gephihttps://gephi.github.io/ | Java standalone | Free Open Source | ||
GraphChihttp://graphlab.org/projects/graphchi.html https://github.com/GraphChi Disk-based large-scale graph computation. | Personalized PageRank PageRank | C++ Java framework | Free Open Source | |
GraphStreamhttp://graphstream-project.org/ GraphStream is a Java library for the modeling and analysis of dynamic graphs. You can generate, import, export, measure, layout and visualize them. | Betweenness centrality Centroid Closeness centrality Degree centrality Eccentricity centrality Eigenvector centrality PageRank | Java framework | Free Open Source | |
graph-toolhttp://graph-tool.skewed.de/ Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). The core data structures and algorithms are implemented in C++. | Authority and hub centralities Betweenness centrality Closeness centrality Eigentrust centrality Eigenvector centrality Katz centrality PageRank Trust transitivity | Python | Free Open source | |
GTNAhttps://www.p2p.tu-darmstadt.de/research/gtna/ GTNA is a Java-based framework that allows for the graph-theoretic analysis of arbitrary network topologies. | Betweenness centrality Local Clustering Coefficient PageRank | Java framework | Free Open source | |
igraphhttp://igraph.org/ | Alpha centrality Average distance Betweenness centrality Bonacich Power centrality Closeness centrality Constraint centrality Degree centrality Eccentricity centrality Eigenvector centrality K-core decomposition Kleinberg centrality PageRank Strength centrality Structural Diversity Index Subgraph centrality | R package Python C Library | Free Open Source | |
InFlowhttp://www.orgnet.com/inflow3.html Software for Social Network Analysis & Organizational Network Analysis. | Windows | Commercial | ||
Interferencehttp://www.cbmc.it/~scardonig/interference/Interference.php A tool for virtual experimental network topological analysis. | Betweenness centrality Centroid centrality Closeness centrality Eccentricity centrality Radiality centrality Stress centrality | Cytoscape Plugin | Free | |
JGraphT-snahttps://bitbucket.org/sorend/jgrapht-sna JGraphT, Social Network Analysis addon. | Brandes betweenness centrality Dangalchev closeness centrality Degree centrality Eigenvector centrality Freeman closeness centrality Fuzzy closeness centrality Geodesic KPath centrality Influence independence centrality Information centrality KPath centrality Latora closeness centrality OrtizArroyo Entropy centrality Random walk betweenness centrality Weighted closeness centrality Weighted degree centrality | Java framework | Free Open Source | |
JUNGhttp://jung.sourceforge.net/ The Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. | Average distance Betweenness centrality Barycenter centrality Closeness centrality Degree centrality Eccentricity centrality Eigenvector centrality HITS HITS with priors Markov centrality PageRank PageRank with priors Random walk betweenness | Java framework | Free Open Source | |
keyplayerhttps://cran.r-project.org/web/packages/keyplayer/ Locating Key Players in Social Networks Computes group centrality scores and identifies the most central group of players in a network. | Diffusion Centrality Fragmentation centrality Group Centraltiy M-reach Closeness Centrality M-reach Degree Centrality | R package | Free Open Source | |
ModuLandhttp://www.linkgroup.hu/modules.php http://apps.cytoscape.org/apps/moduland Modularization method family offering modular hierarchies and adjustable overlaps. | Community centrality Bridgeness Overlap | Cytoscape Plugin | Free | |
MultiNethttp://www.sfu.ca/personal/archives/richards/Multinet/Pages/multinet.htm MultiNet is a data analysis package that can be used for ordinary data (in which you have a file that has one line of data for each case) and for network data (in which there are two files -- the 'node' file describes the individuals and the 'link' file describes the connections between individuals). | Betweenness centrality Closeness centrality Degree distributions Eigenvector centrality Influence (Out) centrality Influence (In) centrality Integration centrality Radiality centrality | Windows | shareware | |
neo4jhttps://github.com/neo4j/neo4j/.../centrality http://neo4j.com/ Neo4j is the world's leading graph database. People everywhere are using Neo4j to find graphs in every industry, connecting data to make sense of everything. | Betweenness centrality Closeness centrality Eccentricity centrality Eigenvector centrality Eigenvector centrality arnoldi Eigenvector centrality power Shortest path based centrality Stress centrality | Windows | Commercial | |
NetMinerhttp://www.netminer.com/ NetMiner is an premium software tool for Exploratory Analysis and Visualization of Network Data. | Windows | Commercial | ||
NetVis Modulehttp://www.netvis.org/ The NetVis Module is a free open source web-based tool to analyze and visualize social networks using data from csv files, online surveys, and dispersed teams. | Betweenness centrality Closeness centrality Constraint Degree centrality Efficiency Hierarchy Reachability | Web based | Free Open source | |
NetworkAnalyzerhttp://med.bioinf.mpi-inf.mpg.de/networkanalyzer/ NetworkAnalyzer is a Java plugin for Cytoscape, a software platform for the analysis and visualization of molecular interaction networks. | Betweenness centrality Closeness centrality Clustering coefficient Degree distributions Eccentricity Neighborhood connectivity Radiality Shared neighbors Shortest paths Stress centrality Topological coefficients | Cytoscape plugin | Free Open source | |
NetworKithttps://networkit.iti.kit.edu/ NetworKit is a growing open-source toolkit for high-performance network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. | ApproxBetweenness centrality Betweenness centrality Closeness centrality Degree centrality Dynamic approximation of Betweenness centrality Eigenvector centrality Katz centrality, k-path centrality Local clustering coefficients PageRank Spanning edge centrality Spectral centrality Top-k Closeness (faster algorithm for computing only the top-k nodes with highest closeness) | C++ Python interface through Cython | Free | |
NetworkXhttps://networkx.github.io/ | Degree degree_centrality(G) in_degree_centrality(G) out_degree_centrality(G) Eigenvector eigenvector_centrality(G[, max_iter, tol, …]) eigenvector_centrality_numpy(G[, weight, …]) katz_centrality(G[, alpha, beta, max_iter, …]) katz_centrality_numpy(G[, alpha, beta, …]) Closeness closeness_centrality(G[, u, distance, …]) incremental_closeness_centrality(G, edge[, …]) current_flow_closeness_centrality(G[, …]) information_centrality(G[, weight, dtype, …]) (Shortest Path) Betweenness betweenness_centrality(G[, k, normalized, …]) edge_betweenness_centrality(G[, k, …]) betweenness_centrality_subset(G, sources, …) edge_betweenness_centrality_subset(G, …[, …]) Current Flow Betweenness current_flow_betweenness_centrality(G[, …]) edge_current_flow_betweenness_centrality(G) approximate_current_flow_betweenness_centrality(G) current_flow_betweenness_centrality_subset(G, …) edge_current_flow_betweenness_centrality_subset(G, …) Communicability Betweenness communicability_betweenness_centrality(G[, …]) group_betweenness_centrality(G, C[, …]) group_closeness_centrality(G, S[, weight]) group_degree_centrality(G, S) group_in_degree_centrality(G, S) group_out_degree_centrality(G, S) Load load_centrality(G[, v, cutoff, normalized, …]) edge_load_centrality(G[, cutoff]) Subgraph subgraph_centrality(G) subgraph_centrality_exp(G) estrada_index(G) Harmonic Centrality harmonic_centrality(G[, nbunch, distance]) Dispersion dispersion(G[, u, v, normalized, alpha, b, c]) Reaching local_reaching_centrality(G, v[, paths, …]) global_reaching_centrality(G[, weight, …]) Percolation percolation_centrality(G[, attribute, …]) Second Order Centrality second_order_centrality(G) VoteRank voterank | Python | Free | |
NodeXLhttp://nodexl.codeplex.com/ NodeXL: Network Overview, Discovery and Exploration for Excel. | Betweenness centrality Closeness centrality Clustering coefficient Degree distributions Eigenvector centrality PageRank | Windows | Free Open source | |
qgraphhttp://sachaepskamp.com/qgraph http://cran.r-project.org/web/packages/qgraph/ qgraph is a package that can be used to plot several types of graphs. It is mainly aimed at visualizing relationships in (psychometric) data as networks to create a clear picture of what the data actually looks like. | Betweenness centrality Closeness centrality Degree centrality | R package | Free Open source | |
Pajekhttp://pajek.imfm.si/ Pajek - Program for Large Network Analysis. | Betweenness centrality Burt’s measure of constraint (structural holes) Closeness centrality Clustering coefficient Degree distributions Hubs-Authorities Summing up Values of Line | Windows for noncommercial use | Free | |
RBGLhttp://www.bioconductor.org/packages/release/bioc/html/RBGL.html A fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library. | Betweenness centrality kCores | R package | Free Open source | |
RINalyzerhttp://rinalyzer.de/ RINalyzer provides a number of important methods for analyzing and visualizing residue interaction networks (RINs). | Current flow betweenness centrality Current flow closeness centrality Random walk betweenness centrality Random walk closeness centrality Shortest path betweenness centrality Shortest path closeness centrality Weighted degree centrality | Cytoscape Plugin | Free | |
RINspectorhttp://apps.cytoscape.org/apps/rinspector Combines centrality analyses with DynaMine flexibility predictions. | Residue centrality Closeness centrality Betweenness centrality | Cytoscape Plugin | Free | |
SANTAhttp://bioconductor.org/packages/release/bioc/html/SANTA.html Spatial Analysis of Network Associations. This package provides methods for measuring the strength of association between a network and a phenotype. It does this by measuring clustering of the phenotype across the network. Vertices can also be individually ranked by their strength of association with high-weight vertices. | Knode Markov centrality | R package | Free Open source | |
SBEToolboxhttps://github.com/biocoder/SBEToolbox/releases A Matlab Toolbox for Biological Network Analysis. | Betweenness centrality Bridging centrality Closeness centrality Clustering Coefficient Degree centrality Eccentricity centrality Knotty centrality | MatLab toolbox | Free Open source | |
Sentinel Visualizerhttp://www.fmsasg.com/SocialNetworkAnalysis/ | Betweenness centrality Closeness centrality Degree centrality Eigenvector centrality Hub and Authority | Windows | Commercial | |
snahttp://CRAN.R-project.org/package=sna | Betweenness centrality Bonacich power centrality Closeness centrality Degree centrality Eigenvector centrality Flow betweenness centrality Gil Schmidt power centrality index Harary graph centrality Information centrality K-core decomposition Load centrality Stress centrality | R package | Free Open Source | |
SocNetVhttp://socnetv.sourceforge.net/ Social Networks Visualizer (SocNetV) is a cross-platform, user-friendly tool for the analysis and visualization of Social Networks. | Betweenness centrality Closeness centrality Degree centrality Degree Prestige (inDegree) Eccentricity centrality Influence Range Closeness centrality Information centrality PageRank Prestige Power centrality Proximity Prestige Stress centrality | Windows, Linux, Mac | Free Open Source | |
tidygraphhttp://cran.r-project.org/web/packages/tidygraph/ tidygraph provides a consistent set of wrappers for all the centrality measures implemented in igraph for use inside dplyr::mutate() and other relevant verbs. All functions provided by tidygraph have a consistent naming scheme and automatically calls the function on the graph, returning a vector with measures ready to be added to the node data. Further tidygraph provides access to the netrankr engine for centrality calculations and define a number of centrality measures based on that, as well as provide a manual mode for specifying more-or-less any centrality score. | centrality_alpha: Wrapper for igraph::alpha_centrality() centrality_authority: Wrapper for igraph::authority_score() centrality_betweenness: Wrapper for igraph::betweenness() and igraph::estimate_betweenness() centrality_power: Wrapper for igraph::power_centrality() centrality_closeness: Wrapper for igraph::closeness() and igraph::estimate_closeness() centrality_eigen: Wrapper for igraph::eigen_centrality() centrality_hub: Wrapper for igraph::hub_score() centrality_pagerank: Wrapper for igraph::page_rank() centrality_subgraph: Wrapper for igraph::subgraph_centrality() centrality_degree: Wrapper for igraph::degree() and igraph::strength() centrality_edge_betweenness: Wrapper for igraph::edge_betweenness() centrality_manual: Manually specify your centrality score using the netrankr framework (netrankr) centrality_closeness_harmonic: centrality based on inverse shortest path (netrankr) centrality_closeness_residual: centrality based on 2-to-the-power-of negative shortest path (netrankr) centrality_closeness_generalised: centrality based on alpha-to-the-power-of negative shortest path (netrankr) centrality_integration: centrality based on 1 - (x - 1)/max(x) transformation of shortest path (netrankr) centrality_communicability: centrality an exponential tranformation of walk counts (netrankr) centrality_communicability_odd: centrality an exponential tranformation of odd walk counts (netrankr) centrality_communicability_even: centrality an exponential tranformation of even walk counts (netrankr) centrality_subgraph_odd: subgraph centrality based on odd walk counts (netrankr) centrality_subgraph_even: subgraph centrality based on even walk counts (netrankr) centrality_katz: centrality based on walks penalizing distant nodes (netrankr) centrality_betweenness_network: Betweenness centrality based on network flow (netrankr) centrality_betweenness_current: Betweenness centrality based on current flow (netrankr) centrality_betweenness_communicability: Betweenness centrality based on communicability (netrankr) centrality_betweenness_rsp_simple: Betweenness centrality based on simple randomised shortest path dependencies (netrankr) centrality_betweenness_rsp_net: Betweenness centrality based on net randomised shortest path dependencies (netrankr) centrality_information: centrality based on inverse sum of resistance distance between nodes (netrankr) centrality_decay: based on a power transformation of the shortest path (netrankr) centrality_random_walk: centrality based on the inverse sum of expected random walk length between nodes (netrankr) centrality_expected: Expected centrality ranking based on exact rank probability (netrankr) | R package | Free Open Source | |
tnethttp://cran.r-project.org/web/packages/tnet/ R package for analyzing weighted, two-mode, and longitudinal networks. | Betweenness centrality (weighted network) Closeness centrality (weighted network) Degree centrality (two-mode network) Degree centrality (weighted network) Distance (two-mode network) Distance (weighted network) | R package | Free Open Source | |
UCINEThttps://sites.google.com/site/ucinetsoftware/ UCINET 6 for Windows is a software package for the analysis of social network data. | Betweenness centrality Bonacich power centrality Closeness centrality Degree centrality Distance weighted fragmentation Eigenvector centrality Flow betweenness centrality Fragmentation centrality Hubs and authorities centrality K-step reach centrality Information centrality Political independence index (pii) Proximal betweenness centrality Reverse closeness centrality | Windows | Commercial | |
Visonehttp://visone.info/ Visone is a long-term research project (team), in which models and algorithms to integrate and advance the analysis and visualization of social networks are being developed. | Betweenness centrality Closeness centrality Current-flow centralities Degree centrality Eccentricity centrality Eigenvector centrality Hubs and authorities Pagerank Radiality centrality Status Stress centrality | Java standalone | Free for academic and research | |
WebGraphhttp://webgraph.di.unimi.it/ WebGraph is a framework for graph compression aimed at studying web graphs. | Betweenness centrality Closeness centrality Lin's centrality Harmonic centrality Reachable | Java framework | Free | |
WGCNAhttp://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/ WGCNA: an R package for weighted correlation network analysis. | R package | Free Open source | ||
Wolframhttp://www.wolfram.com/mathematica/ http://www.wolframalpha.com/ http://reference.wolfram.com/language/guide/GraphMeasures.html | Betweenness centrality Degree centrality Closeness centrality Eccentricity centrality Edge Betweenness centrality Edge Connectivity Eigenvector centrality HITS centrality Katz centrality Local clustering coefficient PageRank centrality Radiality centrality Status centrality SALSA Vertex Connectivity | Windows | Commercial |
Ucinet Software For Macbook Pro
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References
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- Yu Tang, Min Li, Jianxin Wang, CytoNCA: a cytoscape plugin for centrality analysis and evaluation of biological network
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- Cornish A and Markowetz F (2014). SANTA: Spatial Analysis of Network Associations. R package version 1.4.0.
- SZALAY-BEKŐ, M., PALOTAI, R., SZAPPANOS, B., KOVÁCS, I. A., PAPP, B. & CSERMELY, P. 2012. ModuLand plug-in for Cytoscape: determination of hierarchical layers of overlapping network modules and community centrality. Bioinformatics, 28, 2202-2204.
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