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Gephi, an open source graph visualization and manipulation software Learn how to use Gephi Welcome to Gephi! Gephi is an open-source software for visualizing and analysing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. Getting Started New to Gephi? Quick Start Guide Supported Graph File Formats Official Tutorials Gephi is really easy to handle if you learn the basics. Popular Tutorials by the Community: Various Tutorials in Video: Non-English Tutorials: In French: In Spanish: In Chinese: 介绍 Gephi 的各项主要操作方法。 Datasets Let's download and try some datasets available on the wiki, like C.elegans brain network or the web mapping study EuroSiS for the European Union. Practical cases A Twitter tag, #madewithgephi, has been adopted to tell when Gephi was used. Facebook group Many experienced users can provide help on this group. Forum New users are welcome to post questions at the Gephi Support Forums. Wiki The Community portal centralizes all information for a better life :) Papers Published papers highlight Gephi usages and techniques.

The french touch of Network Sciences The Best Tools for Visualization Visualization is a technique to graphically represent sets of data. When data is large or abstract, visualization can help make the data easier to read or understand. There are visualization tools for search, music, networks, online communities, and almost anything else you can think of. Whether you want a desktop application or a web-based tool, there are many specific tools are available on the web that let you visualize all kinds of data. Here are some of the best: Visualize Social Networks Last.Forward: Thanks to's new widget gallery, you can now explore a wide selection of extras to extend your experience. Last Forward Friends Sociomap: Friends Sociomap is another tools that generates a map of the music compatibility between you and your friends. Fidg't: Fidg't is a desktop application that gives you a way to view your networks tagging habits. Fidg't The Digg Tools: One more: Digg Radar. YouTube: Visualize Music Musicovery music visual tools: Amazon

Anderson Analytics - Data Mining & Text Analytics Do your daily business transactions and communication generate a large amount of records? For most companies the answer is yes. These records, such as sales data, supply logs, customer communication logs, and financial records are an expensive investment and an invaluable asset if properly understood and acted upon. Companies willing to share and leverage information across departments and projects stand to gain a considerable advantage over their competition. At Anderson Analytics, we employ well-developed data mining and text mining techniques to uncover the hidden information within your internal business databases. Also known as Knowledge-Discovery in Databases (KDD), data mining uses computational techniques from statistics, machine learning and pattern recognition to search large volumes of data for patterns. Analyzing Internal Databases Data mining projects typically involve analyzing the large volume of data our clients already possess, but are unable to make efficient use of.

HistCite - Science - Thomson Reuters This End User License Agreement (“EULA”) is a legal agreement between you (an end user—either an individual or a single legal entity) and Thomson Reuters (Scientific) Inc. (“Thomson Reuters”) for your use of HistCite software, including any associated media, printed materials and electronic documentation (the “Software”). This EULA also applies to any updates, add-on components, patches and/or supplements that Thomson Reuters may, in its sole discretion, make available to you after you obtain access to the Software. GRANT OF LICENSE AND RESTRICTIONS Subject to the terms of this EULA, Thomson Reuters grants you a non-exclusive, non-transferable license to download and use the Software. You may download more up to two copies of the Software solely for your own personal use. You may not make the Software available to anyone else, with or without a fee, in connection with a service bureau, application service provider, similar service or otherwise.

Text Network Analysis Text network analysis allows one to quickly visualize the meanings and agendas present within a text, live conversation, broadcast, or interview. Our method is different to semantic network analysis. Instead, we focus predominantly on the relationships and clusters of meaning present within the text, uncovering what we call the pathways for meaning circulation Our interest lies in researching the topology of the resulting network, allowing us to focus on a text as a whole rather than its specific semantic parts. Text network analysis can also be used to build a map of sentiments and interests for any group. Urban Mobs

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