Category Archives: Graph Data Model

Everything is a Graph and Drawing It as Such is Always the Best Thing to Do

Well, maybe that’s going a little too far, but Sébastien Heymann has written an excellent response to the Ben Fry quote brought to the fore by Dan Brickley’s recent exploration of literary networks. Ben Fry’s quote in full goes like … Continue reading

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What does all this show?

Here’s a detailed and interesting article by Dan Brickley about using Apache Mahout and Gephi to map non-standard networks and use traditional network analysis methods to better understand them. Nodes are books, links are strong similarity measures. Node labels are … Continue reading

Posted in Big Data, Graph Data Model, New Literature, Visualization | Comments Off

New Features in Gephi .8 Beta

The new version of Gephi that will soon be coming out includes a brand new engine for final output, as well as a host of new features for dynamic graphs and a few other nice additions, such as font options … Continue reading

Posted in Graph Data Model, Tools, Visualization | 2 Comments

Hacking Networks in the Humanities

Hacking, it seems, is in the air. Dan Cohen has announced the edited version of Hacking the Academy, here at Stanford we’ve finished up with our Humanities Hackerspace experiment, and another Bay Area THATCamp (where I’ll be officially giving a … Continue reading

Posted in Algorithmic Literacy, Big Data, Graph Data Model, HGIS, Social Media Literacy, Spatial Humanities, Tools, Visualization | Comments Off

An Ecology of the English Peoples

A river of Stuarts and Plantagenets feeds a lake of Barclays, Darwins and Lennoxes, from which thin streamers of more exotic Wedgwoods, Elliotts and Babingtons do grow.

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Visualizing Genealogical Networks

Genealogy would seem most amenable to network visualization and analytics, until one realizes just how tangled up certain families can be… Women in light red and men in light blue are connected to family units (grey) based on their type … Continue reading

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Is there Life on Twitter?

Updated to include a legend, as per advice from Scott Weingart. A collection of 15 different microorganisms found swimming through twitter recently.  Each component is a collection of tweets and users (though the small, round clusters have only one user) … Continue reading

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Topic Networks in Proust

Back in March, Jeff Drouin used my topic network technique and script to build a topic network for Proust.  Unlike my own technique-heavy and interpretation-light demonstration of topic networks, though, Jeff actually spends some time looking at the words that … Continue reading

Posted in Algorithmic Literacy, Graph Data Model, Text Analysis | Comments Off

DH11 Network Graphs

Just a quick note for anyone that wants to critique, analyze or browse the networks I used to create the DH2011 Network Visualization page.  I put the original .gephi project file along with csv, gdf, gexf and graphml versions of … Continue reading

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Visualizing DH11

John Unsworth was good enough to send me the participant list for the upcoming Digital Humanities 2011 Conference and I tried to put together a few interesting visualizations of the participants, sessions and institutions that will make up this year’s … Continue reading

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