- 137 Views
- Uploaded on
- Presentation posted in: General

Networks: Gephi (and a little bit of Palladio)

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Networks: Gephi (and a little bit of Palladio)

@DJWrisley

#RRSI2014, UTSC, May 2014

- Network analysis – a term encompassing a wide variety of practices with applications throughout (social) scientific and digital humanistic domains
- “Network theory concerns itself with the study of graphs as a representation of either symmetric relations or, more generally, of asymmetric relations between discreteobjects.” (Wikipedia, 6 italicized words are mine—all debatable in humanist circles)
- Network theory has its own conceptual vocabulary to express relationships between objects (e.g. betweenness, centrality, density, path length, modularity) – how can we interpret these analytical terms for humanities data?

- Social network analysis SNA looks at relationships between actors – what is the nature of interaction?
- Latour adds objects in actor-network theory ANT – what could the relation of an actor and an object be?
- Networks once drawn (drawn by Moretti- Network Theory, Plot Analysis), are now digitally created and manipulated
- Powerful way of exploring multidimensional multi-scalar data (Brughmans)

- "The network is not a social network or geographic network or logical network but rather a primitive object capable of and useful for the modeling and analysis of relationships between a wide variety of objects."
<https://dhs.stanford.edu/visualization/more-networks/>

- Not all study of networks is quantitative (Brughmans on Malkin, 2011), just as every mapping is not made of spatial data onto a map interface
- Digital tools for network visualization and analysis use tabular data (quantification can be a challenge, metadata adds qualitative contours)
- Digital tools like Gephi allow both for networks to be explored visually, and for static visuals of them to be exported. It does not allow for sharing.
- Data visualization is a kind of “problem-posing”; we should avoid fetishizing the final visual. (McCosker/Wilke) – “diagrammatic” thinking

- Tabular data used by network viz platforms are of two basic sorts
- Nodes (discrete entities in a network, and any fixed metadata about them – gender, geospatial data)
- Edges (specific instances of relations between nodes)
NB: Gephi does generate a nodes table if it is missing (option: create missing nodes)

- Gephi (standalone)
- Elijah Meeks
- https://dhs.stanford.edu/gephi-workshop/
- https://dhs.stanford.edu/visualization/more-networks/*
- Non proprietary code – plug ins

- Scott Weingart
- Indiana MOOC on visualization

NB: Examples Increase in Scale

Fruchterman

Force Atlas

- Open file RRSI stylo experiment

- Parts of gephi interface
- Visualizing the network using the same file

Gephi

Palladio

- standalone
- open source
- Established large user community = many plug-ins
- Takes a while to learn
- Science/humanities use
- Not easy to share without giving away data
- Network statistics

- web-based
- free
- Relatively new
- Learning curve low
- Specifically for the humanities
- simple to deal with data multi-dimensionality
- Data is not kept
- “without any barriers”

- Live Example using file “distorted VMP data”