Network Visualisation

What kind of data should the tool work with?

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Histograph is a graph-based exploration and crowd-based indexation for multimedia collections. HistoGraph treats multimedia collections as networks. The underlying assumption is simple: if two people are mentioned together in a document, we assume that they may have something to do with each other. Whether or not such a relationship is interesting is in the eye of the beholder.

Code license: Open source
Last updated: 15 Jan 2018

Onodo is a user friendly tool for doing basic visualisation and analysis within a browser making it cross-platform right out of the box. Data can be entered via their intuitive, in-browser node and edge creation tables or imported from a file. As data is added it is instantly previewed and displayed. The visual appearance can be tweaked on the fly and customised in a variety of ways (including applying a unique image or URL to each node). Once created, visualisations can be embedded and shared outside of the Onodo browser environment.

Code license: Open source
Last updated: 16 Aug 2016
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