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Networks: Gephi (and a little bit of Palladio). @ DJWrisley #RRSI2014, UTSC, May 2014. networks theory, analysis, visualization. Network analysis – a term encompassing a wide variety of practices with applications throughout (social) scientific and digital humanistic domains

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Networks gephi and a little bit of palladio

Networks: Gephi (and a little bit of Palladio)

@DJWrisley

#RRSI2014, UTSC, May 2014


Networks theory analysis visualization
networks theory, analysis, visualization

  • 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?


Network theory analysis visualization 2
network theory, analysis, visualization (2)

  • 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)



@ elijahmeeks on the network
@ElijahMeeks on the network

  • "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/>


Basic principles 1
Basic principles (1)

  • 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


Basic principles 2
Basic Principles (2)

  • 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)



Network visualization tools
Network visualization tools

  • Gephi (standalone)

    • Elijah Meeks

    • https://dhs.stanford.edu/gephi-workshop/

    • https://dhs.stanford.edu/visualization/more-networks/*

    • Non proprietary code – plug ins

  • Palladio (web-based)

  • NetXL

  • Sci²

    • Scott Weingart

    • Indiana MOOC on visualization

  • Points of comparison: performance, usability, filter, formats of data ownership, data portability, cost


  • Example 1
    Example 1

    NB: Examples Increase in Scale


    One textRamon Llull, Book of the Lover and the Beloved (late 13th) http://www.am.ub.edu/~jmiralda/llulltra.html


    Llull data snapshot @ djwrisley @ tracey dh nodes left edges right
    Llull Data Snapshot (@djwrisley @tracey_dh) nodes (left) edges (right)


    Llull s social networks @ djwrisley @ tracey dh
    Llull’s “social” networks(@djwrisley @tracey_dh)


    Llull social networks minus the narrator @ djwrisley @ tracey dh
    Llull “social” networks, minus the narrator (@djwrisley @tracey_dh)


    Algorithmic llull
    Algorithmic llull

    Fruchterman

    Force Atlas



    Tinker tailor the karla collection @hayay44
    Tinker tailor, “the karla collection” (@hayay44)


    14th c medieval french (around jean de meun) – stylometric analysis of 70+ textsJ Richards (Wuppertal – Germany)


    Stylometric data sample
    Stylometric data sample

    • Open file RRSI stylo experiment


    250+ Texts of medieval french – test case for power of stylometry given dialectal difference (@DJWrisley and J Richards)

    • Parts of gephi interface

    • Visualizing the network using the same file


    Facebook networks via @ grandjeanmartin
    Facebook networks via @Grandjeanmartin


    Networks of newspapers 19 th c via @ ryancordell
    Networks of Newspapers 19th c via @ryancordell



    Spaces and texts a network with gephi @ djwrisley
    Spaces and Texts – a Network with Roman World Gephi @djwrisley


    Vie de saint louis text place @ djwrisley
    Vie de Saint Louis TEXT - PLACE @ Roman World djwrisley


    Jerusalem aspected by form @ djwrisley
    Jerusalem – Roman World aspected by form @djwrisley


    Paul s examples
    Paul’s Examples Roman World


    A brief comparison
    A Brief Comparison - Roman World

    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”


    Palladio example space in literature
    Palladio example – Space in Literature Roman World

    • Live Example using file “distorted VMP data”


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