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Visualization Aug 11, 2024 — 3 min read Table of Content Gephi is an award-winning open-source platform for visualizing and manipulating large graphs. It runs on Windows, Mac OS X and Linux. Gephi is a robust software application designed for network visualization and analysis. It allows users to manipulate the structure, shape, and color of networks in real time, helping to reveal patterns, trends, and outliers. Gephi is widely used in various fields such as sociology, biology, finance, and cybersecurity to study complex systems through their network representations.Whether you're a researcher, data analyst, or just someone interested in network theory, Gephi provides a powerful platform to transform raw data into insightful visual representations.Use Cases for GephiSocial Network Analysis: Explore relationships and interactions within social networks, identifying key influencers and communities.Biological Network Analysis: Study protein interactions, genetic networks, and other biological systems.Financial Analysis: Analyze connections within financial systems to identify risk, fraud, and other key insights.Cybersecurity: Visualize and analyze network traffic, detect anomalies, and identify potential security threats.Academic Research: Support research in various disciplines by providing visual insights into complex datasets.FeaturesDynamic Graphs: Visualize and analyze how networks evolve over time with dynamic graph capabilities.Real-Time Visualization: Modify and interact with networks in real time to see the immediate impact of changes.Layout Algorithms: Utilize various algorithms like ForceAtlas, Yifan Hu, and more to automatically arrange network elements for better clarity.Powerful Filtering: Apply advanced filters to focus on specific aspects of the network, making it easier to study particular nodes or connections.Statistics and Metrics: Calculate key metrics such as degree, betweenness, and closeness centrality to quantify and compare network elements.Data Laboratory: Manage and edit data tables within Gephi to ensure data accuracy and consistency.Plugins and Extensibility: Extend Gephi’s functionality with a wide range of community-developed plugins, or create your own.Cross-Platform Compatibility: Available on Windows, macOS, and Linux, making it accessible to a broad audience.Import and Export: Supports a variety of formats including GEXF, GML, Pajek, GraphML, and CSV for easy data import and export.Interactive Visualization: Generate interactive visualizations that can be explored and manipulated directly within the Gephi interface.Supported SystemsLinuxWindowsmacOSSupported LanguagesLocalization is available in English, French, Spanish, Japanese, Russian, Brazilian Portuguese, Chinese, Czech, German and Romanian.LicenseGNU Free Documentation LicenseResources & DownloadsSource-code and downloadsMirrorHomeGitHub - gephi/gephi: Gephi - The Open Graph Viz PlatformGephi - The Open Graph Viz Platform. Contribute to gephi/gephi development by creating an account on GitHub.GitHubgephiGephiDownload Gephi for free. Gephi the open graph Viz platform. Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.SourceForgeGephi - The Open Graph Viz PlatformThe Open Graph Viz Platform

Gephi Tutorial for Graph/Network VisualizationLast updated Summer 2024 for Gephi version 0.10.1About this tutorialThis tutorial provides an introduction to Gephi, an open source tool for visualizing graphs / networks.It is commonly used for data analysis and research in, e.g., (social) network analysis, complex networks / network science and data science.The tutorial was originally written as part of the first week lab session of the Social Network Analysis for Computer Scientists semester course of 6 ECTS in the MSc Computer Science programme of Leiden University.While intended as a companion for an introductory network science lecture, the tutorial is by now likely useful for any data-savvy researcher or practitioner.All credit for the Gephi tool itself goes to the original authors.Throughout the tutorial, you will see Task, followed by an instruction. Such an instruction corresponds to something the student is expected to conduct and practice before continuing.Prior knowledgeThe tutorial assumes familiarity with CSV files and their manipulation. Indeed, the tutorial is, comparatively, rather data-centered.Conceptually, it is assumed that at least some exposure to common network analysis concepts such as nodes, edges, degree, centrality and community structure has taken place.Still, without understanding these concepts in detail, it should be possible to follow the tutorial and enjoy the beauty of networks and their visualizations.ReferencingDo you want to reference this tutorial? Please use the following format:Frank W. Takes, Gephi Tutorial for Graph/Network Visualization [online], 2024.IndexPart 0: InstallationPart 1: What do we see?Part 2: A first visualization of a networkPart 3: Data laboratoryPart 4: A real-world network visualizationPart 5: Exporting a network visualizationPart 6: Advanced featuresPart 0: InstallationDownload Gephi 0.10.1 from the Gephi website.Install Gephi on your Windows, Linux or MacOS device; be sure to choose English as display language when asked, so that instructions match with your local installation.After installation, start Gephi and close the Welcome window that pops up.Use a mouse to more easily control the tool.Part 1: What do we see?Gephi has 3 main "Screens", each with its own functionality:Overview: network visualization, data filtering and computation of network measures.Data Laboratory: network data import, export, inspection and manipulation.Preview: to export a final version of a visualization, for example to a vector graphic PDF.Figure: Gephi, with the three main Gephi screens highlighted. The numbered squares (2.2 and 2.3) refer to the subsections below.For now, we start in the "Overview" screen, which should have several subwindows: "Appearance" and "Layout" on the left, "Graph" in the middle and "Context", "Filters" and "Statistics" on the right.On some installations these subwindows might not all be visible; you can use the "Window" menu option on top to make these particular subwindows visible for you, and if necessary drag them to the right location.Task 1: Install Gephi on your machine and make sure you see the correct subwindows in the "Overview" tab.Part 2: A first visualization of a networkIn this part of the tutorial, we will make a first network visualization.Part 2.1: Loading (random) data and saving a projectA first step is to make sure that there is data to visualize.Custom real-world

28 Aug 2014IntroThere are apps that will generate certain types of network visualizations of your Facebook data. However, this guide is aimed at those who would like to dig deeper into their own data and have more control into how it is visualized. Often visualizing and analyzing graphs and networks requires a certain amount of effort to familiarize yourself with the data to gain intuition on how the data is related.The fun part of this walk through is that you are already the expert on your own network of friends so seeing how things group will make this exercise intuitive. But what really makes it exciting is when the network illuminates relationships, connections, and groups in your friend network that you didn't know existed. Often you'll find you can talk to friends about new commoninterests or connections to other people you both know that you may not have known about previously.1. Install GephiIf you haven't installed Gephi already, you can do so by going here. It's free and runs on Mac, Windows, and Linux.2. Get Your Facebook DataTo download your Facebook data in a format that Gephi and read I'll be using this netvizz Facebook tool. Click on the "personal network" link then click "Start". You'll need to grant permission for the application to walk your Facebook friend network.After it is finished generating the network, right-click on the "gdf file" link and click "save as...".3. Load in GephiOpen Gephi then click on "Open Graph File..." and select the file you previously downloaded from netvizz.Make sure to keep the "Directed" check box selected. Gephi loads the network in a random placement by default so it will look something like this initially:4. LayoutA graph/network layout is the algorithm used to position nodes. There are many different kinds of layouts. For this walk through, we will be using the "Fruchterman Reingold" layout which is a kind of force-directed layout. Select the layout using the "Layout" tab on the left:After selecting the "Fruchterman Reingold" layout click "Run". This layout has no point where it will stop on its own.Just watch it run until the node placement settles down. You'll notice that your network of Facebook friends is alreadyclustering into several distinct groups. It might look something like this:You don't have to stick with this layout. Try experimenting with other layouts like "Force Atlas", or "Circular Layout". There are also more layout algorithms you can install as plugins by going to "Tools -> Plugins" and searching for "layout".5. Community DetectionAlready, you're probably noticing clusters or communities of nodes. The human brain intuitively sees these patterns. To get Gephi to detect them, run the "Modularity" statistic under the "Statistics" tab on the right (just use default

Be done by using the respective buttons on top of the data table, and modifying one particular node or edge can be done by right clicking and selecting edit-option.Changes the the columns or column-wise modifications for all or multiple rows, can be effectuated using the buttons at the bottom of the data table.Task 3.1: Create a new graph in which you represent your direct/close family members as nodes, and the blood connections between them as edges. Add a node attribute "Label" for their name, as well one for their "Age". You can also add an edge attribute of choice (for example, a binary attribute indicating whether the two family members physically live together). When your data is complete, visualize the graph in the "Overview" tab; be sure to enable labels and choose meaningful colors for the nodes and edges based on either network properties or attributes.3.2 Importing dataThe node and edge lists of Gephi can also be filled by importing data from CSV files, or even (Excel) spreadsheets. For this, use the "Import spreadsheet" button, which invokes an import window.(Note that the same type of import window can be invoked when using the "File", "Open" menu button, and selecting a non-Gephi file that does have properties of a data file, i.e., is column-based.)Along the way, you are asked to select the right data format. Here, "Edges table" and "Nodes table" are the edge list and node list formats most commonly used, with Id being the identifier column in the node list, and two columns Source and Target in the edge list.The final screen asks whether the graph should be directed or undirected, and whether the data should be appended to the current workspace, or whether a new workspace should be made. The append-option can be used to merge multiple datasets based on the unique identifier Id of the nodes.Task 3.2: Download the small-gephiready.tsv edge list file, and load it into Gephi via the Data laboratory. This .tsv file has tab-separated columns. Go back to the Overview screen and create a visually appealing visualization.The rest of the tutorial will also use this dataset.3.3 Exporting dataSimilar to importing, both the node and edge lists can also be exported for reuse in another tool using the "Export table" button. You can then reuse or amend this data, for example in Excel, or in a python pandas dataframe.Part 4: A second real-world network visualizationNow that we know how to manipulate the data behind a visualization, it's time to explore more advanced network analysis and visualization options in Gephi.We turn back to the Overview tab, and assume that the small-gephiready.tsv file has been loaded as an undirected graph. After visualizing this graph using the ForceAtlas2 algorithm with the scaling parameter set to 5.0, the screen should look something like below.Figure: Visualization of the small-gephiready.tsv network4.1 StatisticsThrough the Statistics window, various properties of the network can be computed. After computation, so after pressing the button corresponding to the statistic, an overview window is produced showing some