Ucinet Software For Mac



  • Blocked List
    Provides a way to look up an IP address or MAC address which is suspected of being blocked somewhere in the network. A system may be auto-blocked by the campus Intrusion Detection system when illegal scanning activity or behavior associated with a worm is detected, or it may have been blocked by “hand” at the direction of OIT security personnel. In this case, it may have been blocked at the border router in the firewall; in the UCInet Mobile Access network or other networked areas of UCI, or in the modem pool. The cause for the system being blocked is described if it has been. For questions on blocked systems, call 949-824-2222 (4 2222 on campus).
  • Building Information Database
    The collection of building names, abbreviations and numbers used within OIT, as well as a search tool to associate different abbreviations and outdated names with the newer names.
  • IPInfo– UCInetID Login Required
    Provides information about IP addresses which have been active on UCInet, or can be looked-up by MAC address. Note: this tool is intended for experienced support personnel. Netdisco linkage is for Network Engineers and designates only.
  • Jack, Port and Location Database – UCInetID Login Required
    A database and search tool for finding connected jacks and ports all around campus. Requires WebAuth to access and use.
  • Server Registration Administrative Tools
    Administrative Tools for Server Registration. Allows users with admin privileges to search, view and edit servers registered with OIT.
  • What is my IP Address?
    Provides a computer user with his or her IP address.
  1. Ucinet Free Download
  2. Ucinet 6
Mac

Alphabetic

UCINET: A software tool for network analysis. Communication Education: Vol. 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). Install and Run UCINET on Intel-based OS X using Wine There are six steps to getting UCINET running smoothly on your Mac. It should take about an hour on a relatively current MacBook Pro with a good internet connection. Download UCINET 2. Change your security preferences 4. Download and install WineBottler 5. Purchasing and registering UCINET is a 3-step process: Press the purchase button. This will take you to our online ordering system. Once the order is complete, the system will email you a registration userid and password. This is a permanent pair of codes which.

Ucinet Free Download

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

References

Ucinet 6

  • 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
  • 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
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