2,798
edits
Changes
Jump to navigation
Jump to search
no edit summary
[[File:Capture 20.PNG|900px|none]]
[[File:Capture 21.PNG|600px|none]]
==R Packages Galore==
===In a nutshell===
*There exists many R packages dedicated to mapping twitter networks
*Unlike NodeXL, we have to use our in-house twitter webcrawler to grab data from twitter, and another '''(yet to be found)''' library to process twitter data into lists of nodes and edges, depending on the questions that we want to ask. (e.g. go through 20,000 tweets and form an edge for every mention)
**'''igraph'''
***Powerful, feature-rich library for network analysis
***[https://github.com/igraph/igraph igraph on Github]
***[http://igraph.org/ igraph on its own domain]
***Available for '''R''', '''Py''' and '''C'''
===Features, from a python POV===
*OOP with graphs, nodes and edges as objects
**Nodes <code>g.vs()</code> and edges <code>g.es()</code> can take on user-assigned attributes, each one easily retrieveable one call away
**Graphs <code>g</code> has graph properties such as:
***<code>g.edge_betweeness()</code>
***<code>g.degree()</code>
***<code>g.pagerank()</code>
***<code>g.betweenness()</code>
***<code>g.select()</code> to enable easy node/edge selection
*In-built layout
