A Node.Js / Neo4J tool that translates words and relations into network graphs and shows you how it all connects.
Clone or download
deemeetree
Latest commit 4b46069 Jan 20, 2019

README.md

InfraNodus is a text-to-network visualization tool, based on Neo4J, Node.Js and Sigma.Js.

Keep track of all the connections using this simple tool that converts natural language into graph (English, Russian, French, German are supported, other languages — limited support).

Also use InfraNodus as an interface to your Neo4J database to quickly try out some basic graph constructs using an easy input procedure via natural language, voice-to-text and #hashtags

=================

=================

Works on mobile and desktop. Voice-to-text (EN, RU, FR, DE) is available.

Watch a Video Demo - a 2-minute introduction

Try it Online - request invitation code through Nodus Labs

=================

Introduction

The basic ideas behind InfraNodus are:

  • Graph DB model suitable for large graphs and collaboration.
  • Represent text as a network of interconnected nodes.
  • Works on desktop and mobile.
  • Make it easy to add nodes into a graph through a simple web interface.
  • Work with what people already know and use well: #hashtags and @mentions, not nodes and edges.
  • Use natural language to enter nodes in a graph (English and Russian morphology is supported)
  • Move away from binary edges (e.g. A < - > B) to hyperedges in one statement (e.g. A and B and C or D)
  • API and JSON export of all data;
  • Twitter, Evernote, Gmail, Google, YouTube subtitles, RSS import (TODO: gexf, xml, csv upload)
  • Enable people to use ше collaboratively, both locally and over the internet
  • Your suggestions? (open an issue)

=================

Technology

InfraNodus is built on

  • Sigma.Js for graph visualization;
  • Neo4J ver 3.x for graph database storage (TODO: add support for OrientDB and Titanium);
  • Node.Js
  • Express Node.Js library;
  • Node-Neo4J layer;
  • Textexture algorithm for text network visualization;
  • Help from the people on StackOverflow and Neo4J community;

=================

Installation Guide

To use this software you should install Neo4J 3.0 on your local computer. To install Neo4J on a Mac use homebrew (see Neo4J instructions here). For settings, check out How to Set Up Neo4J for InfraNodus. You may also find other wiki pages interesting, especially Neo4J installation guide – the section on setting up indexes and installing APOC plugin.

Git clone this project into a folder, then you will also need to have npm Node.Js package manager installed on your computer. After you install InfraNodus, run npm install in the main folder the project to install all the dependencies into node_modules folder.

Check out the config.json.sample file and edit it to add your own Evernote and Twitter API credentials. Then rename it to config.json.

=================

Data Model

The general rationale for the data model used in InfraNodus is outlined in

The main properties of this model are

  • There are 5 labels (types) for nodes: Concepts, Statements, Contexts, Users, and Narratives
  • Every expression of a user into the system is a Statement
  • Example: "#antibiotics can fight #bacteria which are #dangerous for #health" is the user's input. The system creates 4 :Concept nodes from the hashtags inside the :Statement, which is linked to the :Context (by default, "@private") and all those are attached to the :User.
  • Types of connections: :TO (between Concepts), :AT (Concepts to Context), :OF (Concepts to Statement), :IN (Statement to Context), :BY (to User)
  • Narrative is implemented through creating a :Narrative node, which is linked to from Statements and Concepts by :INTO type of connection (think of :Narrative as another :Context)
  • Narrative elements are linked to each other via :THRU type of connection.

This data model enables to create custom views for any kind of data and introduce the idea of narrative into holistic graph views.

This data model is derived from the Cognitive Graph DB Model draft created by Nodus Labs.

The current data model description utilized in InfraNodus app is available in https://github.com/noduslabs/graphdbmodel repository.

=================

Mobile Interface

InfraNodus can also be used on a mobile.

=================

GPL License

This open source, free software is available under the GPL license. You can make modifications to this code and binaries based on it, but only on the condition that you provide access to those modifications on the same license. It is provided as is, with no guarantees and no liabilities. You can re-use it as long as you keep this notice inside the code

** You are very welcome to join the project! **

Created by Nodus Labs, conceptualized via Polysingularity, inspired from ThisIsLike.Com, and KnowNodes (now Rhizi) co-developed at Center for Interdisciplinary Research.

This project would not be possible without the help from StackOverflow community. Thank you so much!

Written by Dmitry Paranyushkin | Nodus Labs and hopefully you also! (http://www.noduslabs.com) | info AT noduslabs DOT com

In some parts the code from the book "Node.js in Action" is used (highly recommended, btw!) (c) 2014 Manning Publications Co. Any source code files provided as a supplement to the book are freely available to the public for download. Reuse of the code is permitted, in whole or in part, including the creation of derivative works, provided that you acknowledge that you are using it and identify the source: title, publisher and year.*