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All Posts Tagged Tag: ‘network’

Network Viz Ko1

Static and dynamic network visualization with R

[June 2017 update] This tutorial is continuously updated and expanded. The latest version includes additional information (more on multiplex graphs, interactive JS networks, geographic data, etc). If you want to see earlier versions, they are still available here: 2015 and 2016. You can also get the new tutorial PDF and code here or on GithHub. If you find the tutorial …

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Network Data

Network datasets

Since I started posting network tutorials on this site, people will occasionally write to ask me about the included example datasets. I also get e-mails from people asking where they might find network data to use for a project or in teaching. Seems like a good idea to post a quick reply here. The datasets included in my tutorials are …

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Gephi R Sunbelt2016

Sunbelt network visualization: R and Gephi tutorials

More details to follow, but for now: workshop materials from Sunbelt 2016.   Basic and Advanced Network Visualization with Gephi Sunbelt 2016 workshop materials Network visualization with Gephi: workshop handout (PDF) Network visualization with Gephi: example data files (ZIP)   Basic and Advanced Network Visualization with R Sunbelt 2016 workshop materials Network visualization with R: workshop handout (PDF) Network visualization …

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Network Viz

Upcoming network visualization workshops at Sunbelt and POLNET

In the next few months,  I will be running several network visualization workshops using R and Gephi at Sunbelt 2016 (Newport Beach, CA) and Political Networks (St. Louis, MO). The descriptions follow below – if you are going to one of the conferences, do stop by! By popular demand, the workshops will once again include visualizations featuring baskets full of …

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Igraph

Network analysis with R and igraph: NetSci X Tutorial

Get the tutorial PDF and code, or download on GithHub.

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R Network Visualization Workshop: Polnet 2015

R Network Visualization Workshop: Polnet 2015 (Download PDF).

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Map Terms Rep Dem 05 Norm 2 Notxt

The world as seen in political statements

A new Politico post produced by our lab examines the mentions of countries around the globe in congressional documents. We look at the frequency of country mentions and co-occurrence. These numbers were extracted from political statements provided by VoteSmart. Here we post the data we used for those visualizations. The files below contain the frequency of country name occurrence and …

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Coal Congress4

Term co-occurrence in party documents: Network data from our Politico post

David Lazer, Oren Tsur, and I recently took a look at the use of the term “coal” in documents produced by members of the US Congress. Some numbers and visualizations based on this were published by Politico. Here, we post the data behind the network map of term co-occurrence in coal-related documents. The political statements these data were extracted from …

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BostonDataSwap 900x350

Boston Data Day 2013 Skill-A-Thon

The Data Swap 2013 skill-a-thon organized by The Boston Globe, NULab for Texts, Maps, and Networks, and The Boston Area Research Initiative is taking place on October 17-18. The materials for the quick network tutorial I’m doing there are posted below. DataSwap 2013 network presentation (Download PDF). Visualizing network dynamics: Download the network visualization software Gephi here. You will also …

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ANN Conference: Social Movements and Network Science

Social Movements and Network Theory: ANN International Conference

Once a year, the Annenberg Networks Network (ANN) at USC and the Science of Networks in Communities Laboratory (SONIC) at Northwestern University convene an international seminar on network science.  The conference organizers include Manuel Castells, Noshir Contractor, Janet Fulk, and Peter Monge. The seminar that took place at USC this April was dedicated to the application of network science to …

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FutureJournalism Featured

The Future of Journalism:
A Network Visualization

This semantic map takes a cue from Chris Anderson‘s The-Future-of-Journalism visualization post @ Nieman Lab. CWA makes the fair point that any time we see a dramatic event / scientific discovery /technological innovation occurring, someone will invariably cry out “Oh, but what could that possibly mean for journalism?”. The network below is based on data from online sources that have …

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