• Get a Different Perspective on Text using Network Visualization

    InfraNodus is a cognitive stimulation tool and a non-linear reading machine. It visualizes any text as a network to show you the most relevant topics, terms and their relations to one another.

    Just looking at the graph image you can quickly see what the text is about and get a different perspective on text. If you click on any words in the graph, you will quickly get to the excerpt of the text where those terms co-occur next to each other.

    You can use InfraNodus to compare texts (see the video below), perform text mining operations (including in-built LDA analysis), make sense of bits and pieces of disjointed textual data, create mindmap-like graphs using #hashtags, @mentions or normal language (English, French, German, Russian is supported, Chinese and Spanish are on the way).

  • See the Big Picture

    Using InfraNodus you can glue together any disjointed bits and pieces of information and see how they all connect.

    It will automatically convert text into network and show you which keywords or concepts tend to co-occur in your research notes, newsfeeds or Tweets.

    This way you will have a better idea of the topics that are present within and of the most influential concepts and keywords.

    Visualizing text also helps remember it better!

    Interested? Check out this example: Visualizing Amazon Kindle Highlights

     

  • Cope with Informational Overload

    When I open my Twitter stream, it takes me about 15 minutes to scroll through an hour’s worth of Tweets. This way I could spend 25% of my life reading Twitter and it’s not something I want to do. The same thing with the news…

    There must be a better way!

    InfraNodus can help you cope with informational overload.

    All you need to do is to open the Twitter feed in it and it will show you the most prominent topics in context. This way you can quickly see the picture of the day and find the Tweets that may be interesting to you.

    Want to learn more? Check out this example: Visualizing Twitter Newsfeed

     

  • Learn and Discover New Ideas

    InfraNodus helps you see the big picture and find the needle in data haystack easily.

    It also can work as an oracle and point you to the novel ideas and new discoveries.

    When you represent your ideas as a graph, you will see gaps between clusters of nodes. These are called “structural gaps” and those are the areas where there is a great potential to discover something new. Several studies show that innovation and so-called “creative leaps” occur in these areas. You can also look beyond the periphery of the graph to see where to expand your knowledge.

    Interested? See an example: Learning through Associations and Knowledge Graphs

     

  • Try It Out or Request an Invite

     

    InfraNodus is free, open-source, and is in the open theta on www.infranodus.com.

    If you don’t have an account yet and would like to get access to this tool, you can click here to get the invitation code instantly in exchange for $5 .

    Developing and maintaining InfraNodus takes time and resources and as it’s an open-source free product that I develop on my own, your contribution is the only way I have to support it.

    If you would still like to try out the software but don’t want to make a contribution, you can download a standalone version of InfraNodus on your own computer from our GitHub account (installation help is available in the Wiki). You can also fill out the form below and suggest another form of contribution to access the cloud version and I will add you to the queue to get the invitation code. The standard waiting time is 6 to 8 weeks.

    Your Name (required)

    Your Email (required)

    You will Use InfraNodus for...

    How would you be able to contribute to the project? A blog post? Research? Help with coding? Please, specify the details.
    Contributors get into fast-track queue to get invites. Click here to make a contribution of $5 and you will get your invitation code and activation instructions immediately. Standard waiting time – several weeks.

    do you accept our privacy policy terms and do you agree to be contacted by us?

     

    Thank you for your interest and support!
    Dmitry (github | twitter)