senereko.hypotheses.org
Text networks, part two: Co-occurrence networks | Gods, Graves and Graphs
http://senereko.hypotheses.org/109
Gods, Graves and Graphs. Reflections on the SeNeReKo project. Text networks, part two: Co-occurrence networks. This post is part of a series of posts about text network analysis. Each post will discuss one approach to algorithmically creating networks from texts. See the primer. For an introduction and the list of posts. Recalling the networks 101, a network in its formal representation consists of. Ie the basic elements of my data, and. What are my nodes? What constitutes a relation between two nodes?
suburbanacademic.com
Academic Sources - Suburban Academic
http://suburbanacademic.com/academic-sources
Musings of a domesticated scholar. Taxonomic Chart of Medieval Research Tools. Taxonomic Chart of Medieval Research Tools. Here are some resources that may be of interest to those thinking about digital humanities and/or medieval studies. Happy reading! Digital learning and teaching. Academic Pub’s newest features:. Http:/ academicpub.sharedbook.com/academicpub/newfeatures.html. Debates in the Digital Humanities:. Via TeachThought: 100 Search Engines for Academic Research. Hybrid Pedagogy Reading List:.
dclure.org
(Mental) maps of texts | david mcClure
http://dclure.org/essays/mental-maps-of-texts
September 24, 2014. Mental) maps of texts. Other words, though, have a really strong semantic focus – they occur unevenly, and they tend to hang together with other words that orbit around a shared topic. For example, think of a long novel like. Which takes a collection of observed data points and works backward to approximate a probabilty density function that, if you sampled it the same number of times, would produce more or less the same set of data. 8221; function. A kernel is just some kind of w...
noduslabs.com
InfraNodus Text Network Analysis | Nodus Labs
http://noduslabs.com/services/connections
InfraNodus Text Network Analysis Nodus Labs. Algorithms, Frameworks and Tools. InfraNodus Text Network Analysis. InfraNodus Text Network Analysis. Nodus Labs has created several state-of-the-art algorithms for text network analysis and visualization. That provide novel ways of reading, processing, and understanding textual data. Our approaches are used by many researchers and SMM/SEO/marketing specialists worldwide (see citations on Google scholar. And we will get back to you. A case study;. Learning abo...
labs.reallysystem.org
Patrick | Really System Labs
http://labs.reallysystem.org/author/patrick
All posts by Patrick. ISSUE NINE BY THE NUMBERS: 11 poets, 13 poems, 3,422 words. January 21, 2016. The numbers are in! 3422 total words in the 13 poems in Really System Issue Nine: Y’all Reset My S. 1,176 of those words were unique. The most common words in the issue (after removal of Torporware stopwords): horse (38), good (33), like (23), love (18), don’t (11). Like has been in the top 10 most frequent words in nearly every issue. Like wow. Longest pieces: from Good Horse. 52 words), Afterglow. Along ...
socialmedialab.ca
Social Media Research Toolkit List - Social Media Lab
http://socialmedialab.ca/apps/social-media-toolkit/social-media-toolkit-wiki
Social Media Lab Visiting Scholar Program. Netlytic Social Networks & Text Analyzer. Sharing Biodiversity Heritage through Social Media. A visual roadmap to success: An analysis of two-way communication on social media. Learning Analytics for the Social Media Age. Social Media & Scholars. Social Media for Health. Blogs & Biomedical Research Literature. Emotion and Virality on Social Media. Emerging Health Researchers and the Commercialization of Academic Science. Political Polarization on Social Media.
gnutiez.de
Gnutiez | Links
http://gnutiez.de/wp/links
Bundestagsabgeordnete und ihre Ämter. MTLD – Measure of Textual Lexical Diversity. Social) Medienanalyse aller Art. Unter anderem mit Netzwerkanalysen und Gephivisualisierungen! Community rund um OpenDate und mit hunderten großartigen Visualisierungen. Interessantes Projekt zur visuellen Erschließung des Inhalts eines. Gruppe auf GooglePlus: data visualization. D3 tutorial by Scott Murray. Making a dot chart. Basic tutorial on binding data in D3. Leave a Reply Cancel reply. Required fields are marked *.
noduslabs.com
Alexis Jacomy | Nodus Labs
http://noduslabs.com/tag/alexis-jacomy
Alexis Jacomy Nodus Labs. Algorithms, Frameworks and Tools. Posted by Nodus Labs. November 5, 2012. Textexture: The Non-Linear Reading Machine. As a response to this challenge we at Nodus Labs developed a new free online software tool Textexture.Com. Posted by Nodus Labs. May 28, 2012. SigmaJs – The Amazing New Online Graph Visualization Tool. Who made some of the best applications for web graph visualizations ( SIGMa. Among them) has come up with the new tool Sigma.Js. Grab a bookmarklet from InfraNodus.
