Network Analysis

Network Analysis

NodeXL

"NodeXL is a free, open-source template for Microsoft® Excel® 2007, 2010 and 2013 that makes it easy to explore network graphs". NodeXl transforms user-input network edge list's into sophisticated graphs all within the familiar Excel environment. NodeXL can easily import or export graphs from GraphML, Pajek, UCINet, and matrix formats, and features direct connections to various social media platforms allowing users to simply create social networks in seconds. With flexible layouts, zoom functions, and scalability, NodeXL is easily manipulated to create a user-friendly environment.

Netlytic

"Netlytic is a cloud-based text and social networks analyzer that can automatically summarize large volumes of text and discover social networks from online conversations on social media sites". Netlytic is designed to assist researchers to "understand an online group’s operation, identify key and influential constituents, and discover how information and other resources flow in a network".

Tulip

Tulip is an "information visualization framework dedicated to the analysis and visualization of relational data". Tulip aims at facilitating the design of "interactive information visualization applications for relational data" while maintaining enough flexibility to be tailored to address the individual research questions of individual scholars. Tulip is written in C++ framework which enables the development of "algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations".

Social Networks Visualizer (SocNetV)

"Social Networks Visualizer (SocNetV) is a cross-platform, user-friendly tool for the analysis and visualization of Social Networks". SocNetV allows users to easily create and manipulate social networks on a virtual canvas. SocNetV supports not only the creation and modification of social networks but it also allows users to analyze the "social and mathematical properties, produce reports for these properties and apply visualization layouts for relevant presentation of each network".

Cytoscape

Cytoscape is an open-source software platform for visualizing networks. While originally developed to visualize molecular interaction and biological pathways, Cytoscape is readily applicable to social science and humanities research: "now it is a general platform for complex network analysis and visualization". The core Cityscape application "provides a basic set of features for data integration, analysis, and visualization".

EgoNet

EgoNet "is a program for the collection and analysis of egocentric network data". EgoNet uses the links on a website as its data and collects information regarding who is sending and receiving the information possessed by these links. EgoNet is committed to collecting and presenting information in a manner that is useful to its user. EgoNet allows users to create questionnaires, "collect data, and provide general global network measures and data matrixes that can be used for further analysis by other software".

Graphviz

Graphviz is an "open source graph visualization software" that facilitates the representation of information in the form of an abstract diagram, graph, or network. Graphviz converts "descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages; PDF or Postscript for inclusion in other documents; or display in an interactive graph browser". Users are in complete control of the colour, font, layout, and shape of their visualization.

Gephi

Gephi is an "interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs". Described as "Photoshop but for data", Gephi is a "tool for people that have to explore and understand graphs". The aim of Gephi is to "help data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing". Gephi was designed to assist data analysis, link analysis, social network analysis, and biographical network analysis.