Digital Humanities Crash-Course
April 19 — 26
Reminder: Course slides & materials
Warning
This presentation is Non-Linear
Use SPACE to go forward, SHIFT+SPACE to go back
Plan for today
- Continue working with Gephi
- Making our own networks with Ezlinavis
- Making dynamic networks in Gephi
- Trying directed networks in Gephi
- Stylometric networks: combining Stylo & Gephi!🙀
- *Extracting networks from Wikipedia with SPARQL and visualising them in Gephi(demo if we have time)
Reminder
We are working with networks (graphs)
Networks can be used to represent different things
Including human relations in reality...
...and in fiction
Gephi Reminder
To analyse and visualise networks we use Gephi
Download and install at gephi.org
Gephi is
- an open source software for exploring and manipulating networks
- "like Photoshop but for graph data" (gephi.org)
- written in Java and runs on most OS's
- extensible (plugins with additional features)
- ...a bit buggy :)
Alternative: Cytoscape
cytoscape.org
Alternative two: Gephi Online
rollapp.com/app/gephi
Alternatives 4 coders:
- NetworkX (Python)
- iGraph (R/Python)
- Pajek
Getting data into Gephi
- Way one: CSV (we tried yesterday)
- A lot of network data in CSV Form on the web:
- Koblenz Network Repository
- comic hero network (and lots of other networks like this on people's GitHub repositories)
- dracor.org
Video instruction on importing data from Koblenz Repo to Gephi
Getting data into Gephi
- Way one: CSV (we tried yesterday)
- A lot of network data in CSV Form on the web:
- Koblenz Network Repository
- comic hero network (and lots of other networks like this on people's GitHub repositories)
- dracor.org
ok, Danya, but where do these CSV files come from?
and what does it mean if the two characters have an edge with weight 5
formalisation of interactions
formalisation of interactions
- the most debated question in literary network analysis
- main approaches
- cooccurrence of characters (e.g. in a paragraph or in a 10/15/30-word window)
- conversation between characters — harder to automate
- formally defined interaction (may include perception/thought)
- formally defined relation (kinship/friendship etc.)
Our approach to formalisation
We rely on TEI markup (that we first create semi-automatically)
- TEI = Text Encoding Initiative
- XML-based markup language 'for the humanities'
- Starting in 1987!
- Earlier than Internet and HTML!
- But wait...it's even earlier than XML!
- Website & guidelines: tei-c.org
- In Russian: Скоринкин Д. А. Электронное представление текста с помощью стандарта разметки TEI // Вестник Московского университета. Серия 9: Филология. 2016. № 5
EXTRACT FROM TEI-ENCODED PLAY
(…)
<text>
<front>
<docTitle>
<titlePart type="main">Борис Годунов</titlePart>
</docTitle>
<div type="dedication">
<p>Драгоценной для россиян памяти Николая Михайловича
Карамзина сей труд, гением его вдохновенный, с
благоговением и благодарностию посвящает</p>
<p>Александр Пушкин</p>
</div>
</front>
<body>
<div type="scene">
<head>КРЕМЛЕВСКИЕ ПАЛАТЫ</head>
<stage>(1598 года, 20 февраля)</stage>
<stage>Князья Шуйский и Воротынский. </stage>
<sp who="#vorotynskij">
<speaker>Воротынский</speaker>
<l>Наряжены мы вместе город ведать,</l>
<l>Но, кажется, нам не за кем смотреть:</l>
<l>Москва пуста; вослед за патриархом</l>
<l>К монастырю пошел и весь народ.</l>
<l>Как думаешь, чем кончится тревога?</l>
</sp>
<sp who="#shujskij">
<speaker>Шуйский</speaker>
<l>Чем кончится? Узнать немудрено:</l>
<l>Народ еще повоет да поплачет,</l>
<l>Борис еще поморщится немного,</l>
<l>Что пьяница пред чаркою вина,</l>
<l>И наконец по милости своей</l>
<l>Принять венец смиренно согласится,</l>
<l>А там — а там он будет нами править</l>
<l part="I">По-прежнему.</l>
</sp>
(…)
For those interested in technical details
go to github.com/dracor-org
But what about novels?
We'll come to it a bit later
first...
Making Our Own Networks
Meet EzLinaVis
live demo now
Production Notes
- open source program, can be installed on your own server/localhost
- React.js for building the interface
- preview graph in the right column is generated live, we used Sigma.js for this
- CSV format is created live, based on the content entered (or copied-and-pasted) by the user in the left row
- this 4-column CSV can be saved and imported directly into Gephi or other network visualisation software