Social Network Analysis

  • 4CAT: This is an instance of the 4CAT Capture and Analysis Toolkit, a software suite that can capture data from various online sources and analyze the data through analytical processors. 4CAT was developed by OILab and the Digital Methods Initiative at the University of Amsterdam. For more information, look at the GitHub repository.
  • Cytoscape: Cytoscape is an open-source software platform for visualizing and analyzing biological networks and complex systems. It offers a wide range of plugins and features for network analysis and visualization.
  • Gephi: Gephi is an open-source graph and network visualization software. It enables users to explore, analyze, and visualize complex networks with a user-friendly interface and a wide range of layout algorithms and visualization options.
  • GUESS: GUESS (Graph Exploration System) is an open-source software platform for graph exploration and social network analysis. It provides various tools for visualizing, analyzing, and manipulating networks.
  • NetMiner: NetMiner is a software package for social network analysis and text mining. It offers advanced analytics, visualization, and modeling capabilities for studying social networks and analyzing text data.
  • NodeXL: NodeXL is an Excel add-in for network analysis and visualization. It provides a user-friendly interface for exploring and analyzing social media, email, and other types of networks.
  • Onodo: Onodo is a web-based tool for visualizing and analyzing networks. It allows users to import, explore, and analyze network data and collaborate with others in creating and sharing interactive network visualizations.
  • ORA: ORA (Operational Network Analysis) is social network analysis and visualization software. It provides tools to explore, visualize, and analyze complex networks, allowing researchers to gain insights into the structure and dynamics of social systems.
  • Pajek: Pajek is an extensive network analysis and visualization program. It supports various network formats and provides various network analysis and visualization algorithms.
  • PNet: PNet is a web-based social network analysis and visualization platform. It offers a range of tools for network exploration, visualization, and analysis, along with features for collaborative research and data sharing.
  • Sentinel Visualizer: Sentinel Visualizer is a software that offers advanced link analysis and data visualization capabilities. It assists in identifying hidden relationships and patterns within data, making it a valuable tool for law enforcement, intelligence agencies, and other organizations involved in investigations and intelligence analysis.
  • SNAP: SNAP (Stanford Network Analysis Platform) is a general-purpose network analysis and graph mining library. It provides various algorithms and tools for analyzing large-scale networks efficiently.
  • Social Network Visualizer: Social Network Visualizer is a cross-platform social network analysis and visualization software. It supports various network formats and provides interactive visualization and analysis features.
  • UCINet: UCINet is a comprehensive software package for social network analysis. It offers various network visualization, analysis, and modeling tools.
  • Visual Investigative Scenarios: Visual Investigative Scenarios (VIS) is a web-based platform that facilitates the exploration and visualization of complex networks and relationships in data. It is beneficial for journalists, researchers, and investigators working with large datasets to uncover hidden connections and understand the interplay between various entities.
  • Wynyard Group: Wynyard Group provides software solutions with advanced analytics and investigation capabilities. Their software is designed to identify and mitigate criminal and security threats by analyzing large amounts of data and detecting patterns, connections, and anomalies that may indicate illicit activities.

Data Visualization Resources

  • UW Interactive Data Lab The mission of the Interactive Data Lab is to enhance people’s ability to understand and communicate data by designing new interactive systems for data visualization and analysis. We study the perceptual, cognitive, and social factors affecting data analysis to improve the efficiency and scale at which expert analysts work and to lower barriers for non-experts.