How to Quickly Add Nodes and Edges to Graphs

The existing interfaces for graph manipulation all suffer from the same problem: it’s very difficult to quickly enter the nodes and edges. One has to create a node, then another node, then make an edge between them. This takes a long time and is cumbersome. Besides, such approach is not really as fast as our thinking is.

We, at Nodus Labs, decided to tackle this problem using what we already do well: #hashtagging the @mentions. The basic idea is that you create the nodes and edges in something that we call a “statement”. Within this #statement you can mark the #concepts with #hashtags, which will become nodes and then mark the @contexts or @lists where you want them to appear with @mentions. This way you can create huge graphs in a matter of seconds and if you do not believe us, watch this screencast of our application below.

You can also try it online on or even install it on your local machine using our free open-source repository on

Try InfraNodus Text Network Visualization Tool developed by Nodus Labs. You can use it to make sense of disjointed bits and pieces of information, get visual summaries for text documents, and generate insight for your research process:

It is based on Neo4J graph database and runs on Node.Js, using Sigma.Js for visualization. The data model we used is described in detail in our Graph Database Structure Specification article.

Watch the full video below.



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