Ucinet Software For Mac

  1. Ucinet Software For Mac Os
  2. Ucinet Data
  3. Ucinet Software
  • 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.

Mac

How to Register

  1. Go to one of the UCInet Mobile Access locations (or one of the 4 undergrad housing communities).
  2. Select UCInet Mobile Access (or Resnet Mobile Access if you are living in undergrad housing)
  3. 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.
  4. You will be directed to our Express Registration web page.
    • UCI Affiliates, click on the Login and register with your UCInetID link.
      1. Login with your UCInetID and Password.
    • Visitors, click the Login as a Guest link, which will take you to the Guest Registration System.
      1. Read the Visitor agreement and fill in the Web form with your name, email address and reason for visiting the campus.
      2. Click the Submit button.
  5. Your computer's hardware (MAC) address will be automatically detected and registered for access to our mobile network.
  6. 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

Ucinet software for mac computers

We offer limited access to visitors to the UCI campus. The following restrictions apply to visitors using UCInet Mobile Access:

  1. 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.
  2. 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.

Ucinet software

Register or De-register your MAC address
(UCInetID Login Required)

Tip: Find your MAC address

Ucinet Software For MacAnalytic technologies ucinet

Alphabetic

C Library
Cytoscape Plugin
Graph database
Java framework
Java standalone
MatLab toolbox
Python
R package
Web based
Windows

ProductCentralitiesPlatformLicenseRef

AllegroGraph


http://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 toolboxFree
Open source

CentiBiN


http://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 standaloneFree

CentiLib


http://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

CentiScaPe


http://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 PluginFree

CePa


https://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 PackageFree

CINNA


https://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 PackageFree

cyto-Hubba


http://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 pluginFree

CytoNCA


http://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 PluginFree

EgoNet


http://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 standaloneFree

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 toolboxFree
Open source

Gephi


https://gephi.github.io/
Java standaloneFree
Open Source

GraphChi


http://graphlab.org/projects/graphchi.html
https://github.com/GraphChi
Disk-based large-scale graph computation.
Personalized PageRank
PageRank
C++
Java framework
Free
Open Source

GraphStream


http://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 frameworkFree
Open Source

graph-tool


http://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
PythonFree
Open source

GTNA


https://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 frameworkFree
Open source

igraph


http://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

InFlow


http://www.orgnet.com/inflow3.html
Software for Social Network Analysis & Organizational Network Analysis.
WindowsCommercial

Interference


http://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 PluginFree

JGraphT-sna


https://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 frameworkFree
Open Source

JUNG


http://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 frameworkFree
Open Source

keyplayer


https://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 packageFree
Open Source

ModuLand


http://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 PluginFree

MultiNet


http://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
Windowsshareware

neo4j


https://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
WindowsCommercial

NetMiner


http://www.netminer.com/
NetMiner is an premium software tool for Exploratory Analysis and Visualization of Network Data.
WindowsCommercial

NetVis Module


http://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 basedFree
Open source

NetworkAnalyzer


http://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 pluginFree
Open source

NetworKit


https://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

NetworkX


https://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
PythonFree

NodeXL


http://nodexl.codeplex.com/
NodeXL: Network Overview, Discovery and Exploration for Excel.
Betweenness centrality
Closeness centrality
Clustering coefficient
Degree distributions
Eigenvector centrality
PageRank
WindowsFree
Open source

qgraph


http://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 packageFree
Open source

Pajek


http://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 useFree

RBGL


http://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 packageFree
Open source

RINalyzer


http://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 PluginFree

RINspector


http://apps.cytoscape.org/apps/rinspector
Combines centrality analyses with DynaMine flexibility predictions.
Residue centrality
Closeness centrality
Betweenness centrality
Cytoscape PluginFree

SANTA


http://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 packageFree
Open source

SBEToolbox


https://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 toolboxFree
Open source

Sentinel Visualizer


http://www.fmsasg.com/SocialNetworkAnalysis/
Betweenness centrality
Closeness centrality
Degree centrality
Eigenvector centrality
Hub and Authority
WindowsCommercial

sna


http://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 packageFree
Open Source

SocNetV


http://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, MacFree
Open Source

tidygraph


http://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 packageFree
Open Source

tnet


http://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 packageFree
Open Source

UCINET


https://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
WindowsCommercial

Visone


http://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 standaloneFree for academic and research

WebGraph


http://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 frameworkFree

WGCNA


http://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/
WGCNA: an R package for weighted correlation network analysis.
R packageFree
Open source

Wolfram


http://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
WindowsCommercial

Ucinet Data

References

Ucinet Software

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  • 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
  • Yu Tang, Min Li, Jianxin Wang, CytoNCA: a cytoscape plugin for centrality analysis and evaluation of biological network
  • SCHILLER, B., BRADLER, D., SCHWEIZER, I., M, M., #252, HLH, #228, USER & STRUFE, T. 2010. GTNA: a framework for the graph-theoretic network analysis. Proceedings of the 2010 Spring Simulation Multiconference. Orlando, Florida: Society for Computer Simulation International. DOI: 10.1145/1878537.1878653
  • ASSENOV, Y., RAMÍREZ, F., SCHELHORN, S.-E., LENGAUER, T. & ALBRECHT, M. 2008. Computing topological parameters of biological networks. Bioinformatics, 24, 282-284.
  • LANGFELDER, P. & HORVATH, S. 2008. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 9, 559. PMID: 19114008DOI: 10.1186/1471-2105-9-559
  • V. Batagelj, A. Mrvar: Pajek – Program for Large Network Analysis. Home page: http://vlado.fmf.uni-lj.si/pub/networks/pajek/
  • Smith, M., Milic-Frayling, N., Shneiderman, B., Mendes Rodrigues, E., Leskovec, J., Dunne, C., (2010). NodeXL: a free and open network overview, discovery and exploration add-in for Excel 2007/2010, http://nodexl.codeplex.com/ from the Social Media Research Foundation, http://www.smrfoundation.org
  • CHEN, S.-H., CHIN, C.-H., WU, H.-H., HO, C.-W., KO, M.-T. & LIN, C.-Y. cyto-Hubba: A Cytoscape plug-in for hub object analysis in network biology. 20th International Conference on Genome Informatics, 2009.
  • SCARDONI, G., PETTERLINI, M. & LAUDANNA, C. 2009. Analyzing biological network parameters with CentiScaPe. Bioinformatics, 25, 2857-2859. DOI: 10.1093/bioinformatics/btp517
  • GRÄßLER, J., KOSCHÜTZKI, D. & SCHREIBER, F. 2012. CentiLib: comprehensive analysis and exploration of network centralities. Bioinformatics, 28, 1178-1179. DOI: 10.1093/bioinformatics/bts106
  • BRANDES, U. W. D.(2003).“Visone. Analysis and Visualization of Social Networks”. Special Issue on Graph Drawing Software, Springer-Verlag, Springer Series in Mathematics and Visualization, Springer-Verlag, págs, 321-340.
  • 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.