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SD211 - Network Visualisation in GEPHI

Instructor Details

Instructor Photo

Balázs Vedres

Institution:
Central European University

Instructor Bio

Balázs Vedres' research furthers the agenda of understanding historical dynamics in network systems, combining insights from network science, historical sociology, and studies of complex systems in physics and biology.

His contribution is to combine historical sensitivities to patterns of processes in time with a network analytic sensitivity to patterns of connectedness cross-sectionally. A key element of this work was the adoption of optimal matching sequence analysis to historical network data.

Balázs' research has been published in top journals of sociology, with two recent articles in the American Journal of Sociology exploring the notion of structural folds: creative tensions in intersecting yet cognitively diverse cohesive communities. His recent research follows video game developers and jazz musicians as they weave collaborative networks through their projects and recording sessions.

He is the recipient of several awards and prizes, and is the founder and director of CEU's Center for Network Science.

  @balazsvedres


Course Dates and Times

Monday 8 to Friday 12 August 2016
Generally classes are either 09:00-12:30 or 14:00-17:30
15 hours over 5 days

Short Outline

The aim of this course is to introduce participants to visualizing network graphs in an effective way. Network graph visualization is central to the analysis of networks.  Successful journal articles, conference talks or conference poster presentations are greatly enhanced by network visualizations that tell your story in a succinct way.

Long Course Outline

The first theme to discuss will be the basics of installing and running Gephi, and inputting data.  We introduce the edgelist data format for dyadic data, and the standards of entering node labels and attributes. We also discuss the possibilities of generating random network data in Gephi.

 

The second theme will be about the core skill of networks visualization: selecting, tuning, and evaluating graph layouts.  We will discuss several layout approaches, such as circle and concentric layouts, spring embedders, attribute based layouts. We will also discuss options and considerations for static publishing: publishing graphs for balk and white journal manuscripts, power point presentations, posters.

 

The third theme is about filterings: ways to select nodes and edges to display. We will discuss related measures that one can use for filtering, such as centrality measures, edge betweenness, components, attributes and attribute combinations.  We discuss single and multiple filters, and the significance of nested filters.

 

The fourth theme will be about the practical challenges of working with large graphs.  We discuss considerations for choosing layout algorithms for large graphs, ways to collapse, filter and simplify large graphs.  We introduce the method of density heatmaps.

 

The fifth theme is about online publishing, and generating interactive visualizations of graphs.  We discuss settings and considerations for java script based interactive formats.

Day-to-Day Schedule

Day-to-Day Reading List

Software Requirements

Gephi 0.8

Hardware Requirements

Participants to bring their own laptop. An ordinary PC will be sufficient to run the datasets designed for the course.

The following other ECPR Methods School courses could be useful in combination with this one in a ‘training track .
Recommended Courses Before

Theoretically Informed Network Analysis for Social Scientists

Additional Information

Disclaimer

This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc). Registered participants will be informed in due time.

Note from the Academic Convenors

By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, contact the instructor before registering.


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