Ucinet Software For Mac
- You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder).
- VPN for AnyConnect Software VPN Configure the Cisco handling your financial situation? Do not meet these UC Irvine Engineering Cisco Select your desired connection Install and Configure the VPN ) is the - Connect to UCI legshawk's blog Then you drop-down menu:. UCIFULL Vpn Client For Mac to connect to UCInet not work on the VPN Instructions.
- GNU/Linux, Mac Free Software (GPL3) Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C, with heavy use of Template metaprogramming, based on the Boost Graph Library. It contains a comprehensive list of algorithms. Graphviz: Graph vizualisation software GraphViz(.dot).
In order for you to get Internet access from anywhere on-campus or in residential housing ('ResNet'), you will first need to register the hardware (MAC) address of either your mobile device (smartphone, laptop or tablet) or Ethernet card (wired connection in some computers). This can be done automatically using the Express Registration Tool or manually.
To register the MAC address you must have either a valid UCInetID, or for those who don't have UCInetID, you may use the Guest Registration system. Details on how to do both are below.
Pajek: This is high level freely available software developed by researchers Vladamir Batagelj and Andrej Mrvar from the University of Ljubljana has features which are similar to Ucinet and is widely used for analysis and visualisation of large networks.
Note: Peer to Peer (P2P) Applications Are Not Allowed Over the Wireless Network
Two Ways to Register
1. Express Registration
From your mobile device select the network 'UCInet Mobile Access' (or 'Resnet Mobile Access' if you are living in undergrad housing) and then open a web browser and try to connect to any web page. You should be redirected to our Express Registration ('ExpressReg') page where you will be guided through the registration process. Refer to the directions below.
If you are not automatically redirected, please visit the website https://oit.uci.edu/reg and select the 'ExpressReg' option. Alternatively, you may select the 'Device Registration' option to manually register your device (NOTE: You must have a UCInetID in order to complete the manual registration process).
The two most common reasons why users struggle to connect are:
- they have a Static IP set on their device (e.g. IP address of 192.168.1.4 for example)
- they have a Static DNS address set on their device (e.g. you cannot use Google DNS addresses like 8.8.8.8 or 8.8.4.4 during the Express Registration process)
Please ensure that your network settings are set to DHCP and remove these settings. By doing this, your device will automatically grab an IP address and DNS address from the network. Failure to remove these static settings will prevent you from connecting.
If you are still having trouble, please feel free to stop by our walk-in help desk at Aldrich Hall, Room 115 between 9-5, M-F or you may contact the Help Desk at (949) 824-2222.
How to Register
- Go to one of the UCInet Mobile Access locations (or one of the 4 undergrad housing communities).
- Select UCInet Mobile Access (or Resnet Mobile Access if you are living in undergrad housing)
- Open your Web browser and try to connect to any Web page.
- If you are not automatically redirected, please visit the website https://oit.uci.edu/reg and select the 'ExpressReg' option.
- You will be directed to our Express Registration web page.
- UCI Affiliates, click on the Login and register with your UCInetID link.
- Login with your UCInetID and Password.
- Visitors, click the Login as a Guest link, which will take you to the Guest Registration System.
- Read the Visitor agreement and fill in the Web form with your name, email address and reason for visiting the campus.
- Click the Submit button.
- UCI Affiliates, click on the Login and register with your UCInetID link.
- Your computer's hardware (MAC) address will be automatically detected and registered for access to our mobile network.
- After 1 minute you should be redirected to the Web page you were trying to access.
If you cannot connect, try again in a few minutes. Your computer may take a few minutes to update its network settings.
If you still can not connect, try rebooting your computer.
Visitor Access Restrictions
We offer limited access to visitors to the UCI campus. The following restrictions apply to visitors using UCInet Mobile Access:
- Visitor access to the UCI network is granted for a 24-hour period, and they may only register 7 times in a 30-day period.
- From Memorial Day to Labor Day, we extend access to 7 days because of the influx of visitors during the summer who attend the CAMP & COSMOS programs. Visitors who are here longer than 7 days will need to re-register their devices weekly.
- Visitor access is restricted to web traffic (HTTP and HTTPS), email (IMAP and authenticated SMTP) and SSH.
If you need longer access than what is provided by Visitor Registration, a UCI faculty or staff member may register you as aguest under their UCInetID for up to 4 weeks using Manual Registration (see Manual Registration tab above). For longer stays, you may be able eligible for a Sponsored UCInetID.
UCI also participates in Eduroam for visiting academics.
Other Wireless Networks on Campus
Besides UCInet Mobile Access, there are several other networks/SSIDs you can connect to. Below are the network SSID names, along with their requirements:
- eduroam - No MAC registration is required.
The following two SSIDs are visible on campus in the School of Health Sciences and the Gottschalk Medical Plaza. They are meant solely for HS users.
- UCIClinic-PSK - Registered MAC required and you must know your HS username and password (mostly used for mobile devices in the clinics). Non-broadcast. The address space is 128.195.144.0/25.
- UCIMCNetMD - No MAC registration required, but you must know the SSID password (used for medical devices - unfortunately OIT does not have this password). Broadcast. The address space is 10.255.106.0/24.
UCI Medical Center Wi-Fi
The UCI Medical Center (UCIMC) has instructions on how to join their wi-fi network in Orange. The SSID in Orange is called UCIHealth (the password is ucirvineaccess).
Subletting Your Apartment
If you live in grad housing and are planning to sublet your apartment, it's important to realize if your subletter is not affiliated with UCI (meaning they don't have a UCInetID), then they will not have internet access automatically.
In order for the subletter to have internet access, you will need to manually register their devices' MAC addresses under your UCInetID. We suggest you send them this link which tells them how to find a MAC address on many different types of devices, and once they provide you with the addresses you'll need to use our Mobile Access Registration tool to register all of them.
By registering their devices under your UCInetID, you accept fullresponsibility for anything they do while using our network.
Ucinet Software For Mac Os
Please do NOT submit Sponsored UCInetID requests for subletters as they will be rejected.
2. Manual Registration
Register your hardware (MAC) address from any computer already connected to the Internet.
Register or De-register your MAC address
(UCInetID Login Required)
Tip: Find your MAC address
Alphabetic
C Library Cytoscape Plugin Graph database Java framework | Java standalone MatLab toolbox Python R package | Web based Windows |
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 Data
References
Ucinet Software
- KONGANTI, K., WANG, G., YANG, E., CAI, J. J., KONGANTI, K., WANG, G., YANG, E. & CAI, J. J. 2013. SBEToolbox: A Matlab Toolbox for Biological Network Analysis. Evolutionary Bioinformatics, 9, 355-362. DOI: 10.4137/EBO.S12012
- DROZDOV, I., OUZOUNIS, C. A., SHAH, A. M. & TSOKA, S. 2011. Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks. BMC research notes, 4, 462. DOI: 10.1186/1756-0500-4-462
- JUNKER, B. H., KOSCHÜTZKI, D. & SCHREIBER, F. 2006. Exploration of biological network centralities with CentiBiN. BMC bioinformatics, 7, 219. DOI: 10.1186/1471-2105-7-219
- RUBINOV, M. & SPORNS, O. 2010. Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069. DOI: 10.1016/j.neuroimage.2009.10.003
- CSARDI, G. & NEPUSZ, T. 2006. The igraph software package for complex network research. InterJournal, Complex Systems, 1695. [http://igraph.org]
- CARTER T. BUTTS (2014). sna: Tools for Social Network Analysis. R package version 2.3-2. http://CRAN.R-project.org/package=sna
- A HAGBERG, D. S., P SWART. Exploring Network Structure, Dynamics, and Function using NetworkX. In: G VAROQUAUX, T. V., J MILLMAN, ed. Proceedings of the 7th Python in Science conference (SciPy 2008), 2008. 11-15.
- BASTIAN, M., HEYMANN, S. & JACOMY, M. 2009. Gephi: An Open Source Software for Exploring and Manipulating Networks.
- DONCHEVA, N. T., KLEIN, K., DOMINGUES, F. S. & ALBRECHT, M. 2011. Analyzing and visualizing residue networks of protein structures. Trends in Biochemical Sciences, 36, 179-182. DOI: 10.1016/j.tibs.2011.01.002
- BORGATTI, S. P., EVERETT, M. G. & FREEMAN, L. C. 2002. Ucinet for Windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
- BOLDI, P. & VIGNA, S. 2004. The webgraph framework I: compression techniques. Proceedings of the 13th international conference on World Wide Web. New York, NY, USA: ACM. DOI: 10.1145/988672.988752
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