Creating a graph — NetworkX 1.7 documentation Start here to begin working with NetworkX. Create an empty graph with no nodes and no edges. >>> import networkx as nx>>> G=nx.Graph()
Over the past decade there has been a growing public fascination with the complex "connectedness" of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet and the Web, in the ease with which global communication now takes place, and in the ability of news and information as well as epidemics and financial crises to spread around the world with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which each of our decisions can have subtle consequences for the outcomes of everyone else.
several dots on a map « …and then the world 2010 is already looking like it’ll be fairly busy, not least because nearly a quarter of it is gone already. Over the next twelve months, I should finish my thesis, while other projects are also being developed and carried out: I’m tutoring in a first-year unit this semester, and am currently writing up new work on the French political blog research, first outlined at IR10 last year, for both my thesis and a conference presentation. That presentation will be in June, at the International Communication Association conference in Singapore, as a paper co-authored with Lars Kirchhoff and Thomas Nicolai from Sociomantic Labs in Germany.
Using Netvizz & Gephi to Analyze a Facebook Network « persuasion This post was originally featured on http://blog.sociomantic.com, published on May 6th, 2010.
Social Network Analysis
Introduction aux graphes avec Neo4j et Gephi Les solutions permettant de modéliser, stocker et parcourir de façon efficiente des graphes ont profité de plusieurs éléments qui les ont rendues populaires ces dernières années.
Digital Humanities Specialist | humanities software, visualization and analysis