Community Events ~ berlin meetup
Information Epidemics with Gephi by Dmitry Paranyushkin / Nodus Labs
Large groups of people can drastically change their opinion, adopt a completely unexpected trend, come out to protest on a square, adopt a certain ideology, have an amazing time at a party, or start using a certain product on mass scale. While all these social phenomena are diverse, one thing in common is that they involve information dissemination that happens in a synchronized way, evoking a certain response from the population at once.
In this workshop I will demonstrate how epidemic theories from network science can be used to study information contagion and trend/rumor propagation (so-called information cascades). We will use real examples from Facebook and Twitter, as well as Gephi software to visualise the sample data.
You will learn what groups to target when planning effective marketing campaigns, how promote your news to the top of the feed on Facebook, generate and seed trends in social networks. You will also find out how information becomes viral and what one can do in order to increase the message’s contagious potential.
The workshop will be held in English and German.
To sign up: workshopinformationepidemics-eorg.eventbrite.com
Date: 16th of February, from 6:00 PM to 8:00 PM
Place: betahaus, 19-20 Prinzessinnenstr (U8: Moritzplatz), 4th floor Arena hall
Community Events ~ berlin meetup
Text Network Analysis with Gephi by Dmitry Paranyushkin / Nodus Labs
In this workshop we will demonstrate a novel method for text network analysis using Gephi graph visualization software. Unlike other topic modelling methods (latent semantic network analysis, LDA) our approach takes into account the structural properties of text network in order to identify the clusters for meaning circulation and the most influential concepts within the text. You will learn how to create graph network representations of texts and perform their comparative quantitive and qualitative analysis. The method can be especially useful for quick text summarization and group sentiment profiling.
What It Can Be Used For:
– Identifying the most influential concepts and topics within a text.
– Comparing different texts together, especially what strategy a text uses to “push” a certain agenda.
– Group sentiment analysis: find the terms that unite any group together
– Quick text summary and overview (can be especially useful for studying or law text)
If you’d like to participate you can send us a short text (200 to 300 words) to info at noduslabs dot com describing your interests and current occupations. We will create text graphs both for participants and the whole group and see how they relate to one another (see the image attached). This may also be useful for you to meet other like-minded individuals at betahaus or find the people who could complement your cognitive map with their knowledge.
To sign up: workshopnoduslabs1.eventbrite.com
Date: 7th of December, Wednesday, 18.00 to 20.00
Place: betahaus, 19-20 Prinzessinnenstr (U8: Moritzplatz), 4th floor Arena hall
We highly recommend you to bring your laptop with you and pre-install Gephi graph visualization software on your computer (works on Mac, PC, Linux).
Plugins ~ database neo4j plugin tutorial
Neo4j is a powerful, award-wining graph database written in Java. It can store billions of nodes and relationships and allows very fast query/traversal. We release today a new version of the Neo4j Plugin supporting the latest 1.5 version of Neo4j. In Gephi, go to Tools > Plugins to install the plug-in.
The plugin let you visualize a graph stored in a Neo4j database and play with it. Features include full import, traversal, filter, export and lazy loading.
Neo4j Integration into Gephi from gephi on Vimeo.
The plug-in is officially supported by the Neo4j team and is open to contribution! The code is hosted on GitHub.
If you have suggestions please send them our way, we would love to hear your feedback! The forum is the best place for that.
Announcement ~ code developer git github toolkit
We are happy to announce we finished the migration of our code from Launchpad to GitHub. All the code and bugs have been successfully transfered with the complete history. We can now profit from the best platform out-there and use Git, the fastest revision control system.
We hope you’ll find GitHub faster and easier to use than Launchpad. The team is already appreciating how easy it is to report issues and work together on the code. GitHub has more than a million users and will make the project more visible and ease external contributions.
Technically, we migrated our branches from Bazaar to Git (thanks to git-bzr) so the history is entirely kept. We also moved all our bugs with a simple script. We are still working on the details. If you see something wrong or missing on GitHub, please contact us or create an issue on GitHub. If you had some branches on Launchpad, you can find them on the GitHub repository. Let us know if you have questions. Contributors simply fork the repository and get started. We updated the documentation on the wiki. Consult the Developer Handbook.
Checkout code
Run
git clone git://github.com/gephi/gephi.git
Report issues
Simply go to the Issues tab.
Build in one step
Simply run ant at the root of the repository to build Gephi. The executable are located in the dist folder.
We made some improvements on the building process. Previously, Netbeans was required to build Gephi. We now integrates the platform directly in the source code so it’s not necessary anymore. It’s literally a one step process.
Please let us know your feedbacks and questions as usual on the forum.
Checkout the code on 
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