Figures 3: Network Visualisations

Static and dynamic network visualisations to accompany the book, and an introductory video to the dynamic network visualisations

Resource slideshow

interactive
interactive

Figure 4. The Querelle as a Dynamic Network of People

Showing interactive resource: Figure 4. The Querelle as a Dynamic Network of People
The interactive dynamic network visualisation of the Querelle des collèges, shown as a network of people, institutions, or periodicals, that refer to one another.

To view this full-screen, go to: https://sarazinmac.github.io/QDC/Person-network

Alternative visualisations of the same network data exist, and these can shape what we see and don't see in a network: put simply, visualisation affects interpretation. We should not therefore understand one visualisation as 'the' visual manifestation of a network. For just two, randomly-generated alternative visualisations of this network, see:

V.2: https://sarazinmac.github.io/QDC/Person-network-version2

V.3: https://sarazinmac.github.io/QDC/Person-network-version3

Network made using R packages developed by:

Statnet Development Team (Pavel N. Krivitsky, Mark S. Handcock, David R. Hunter, Carter T. Butts, Chad Klumb, Steven M. Goodreau, and Martina Morris) (2003-2022). statnet: Software tools for the Statistical Modeling of Network Data. URL http://statnet.org

Skye Bender-deMoll (2022). ndtv: Network Dynamic Temporal Visualizations. R package version 0.13.0. https://CRAN.R-project.org/package=ndtv


ON THE DYNAMIC NETWORK VISUALISATION

Click on a node to display its label, in the format 'Author', unless the node is a periodical or an institution, in which case the short title of the periodical or the name of the institution will be displayed.

Click on a tie to display a label showing the sender- and receiver-texts, identified by their number in the Corpus of the Querelle. If one author (or periodical, or institution) makes reference to another author more than once over the course of the Querelle, the label will list all of the texts in which a reference is made.

Use the menu icon in the top right to speed up or slow down the visualisation.

Nodes (circles) are coloured according to author category:

-- Yellow: periodical

-- Blue: individual author, or group of authors, not writing in the name of an institution or periodical

-- Purple: authorities or institutions (e.g. an académie, a parlement)

Ties (arrows) are coloured according to the type of reference:

-- Red: negative reference

-- Green: positive reference

-- Amber: ambivalent reference

-- Grey: a reference that is either neutral, or a sequel, or a republication

-- Black: a response to a 'catalyst text' that encouraged participation in the Querelle

For further detail about these tie-types, see Appendices (p.260, and available on this site)

For full information about the data that feeds into these network visualisation, how the latter were created, and the algorithms they use, see Appendices (p.255-63, and available on this site).

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