Posted by Nodus Labs | May 8, 2015
Using Efficient Search Methods for Content Structuring
Designing efficient content structures that guide readers through in ways that are efficient, maintaining diversity and narrative of the original.
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Posted by Nodus Labs | March 10, 2015
Divinatory Recommender Systems: between Similarity and Serendipity
Read MoreRecommender systems are the algorithms that determine what content we read, which products we buy, which movies we watch. However, most of them are based on similarity and lock us into “filter bubble” where we see only what we expect. In this article we discuss how to bring in more serendipity into the algorithms.
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Posted by Nodus Labs | January 25, 2015
Knowledge Graphs: The New Type of Document for the 21st Century
Read MoreExcel was a revolutionary product for the time, but in the 21st century columns and rows are not sufficient anymore. What matters today are multidimensional relations between data, which combine a better view of the bigger picture with an attention to detail: networks and graphs.
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Posted by Nodus Labs | November 27, 2014
Evernote and iPhone Notes as a Text Network Graph
Read MoreText network analysis can be used to gain a good overview of your Evernote or iPhone notes and to increase the precision and speed of information retrieval.
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Posted by Nodus Labs | November 15, 2014
Twitter xRay Using Text Network Analysis
Read MoreText network analysis can be a very useful tool to make sense of Twitter’s ever-expanding newsfeed. It can be used to visualize a user’s feed of tweets or visualize one’s own newsfeed as a network to be able to see what the tweets are about and how they connect. Text network analysis allows to see not only the main terms, but also how they connect, providing the context to the most relevant keywords found on Twitter.
Doing a Research?
Grab a bookmarklet from InfraNodus and visualize your text highlights as a graph to discover new connections.
