Temporalities at work on building sites. Professional networks and the multifarious circulation of entrepreneurs in Piedmont during the Eighteenth century

Cristofoli, Pascal; Rolla, Nicoletta

doi:10.4000/temporalites.4456

Cited by 3 publications

(7 citation statements)

References 7 publications

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“…Finally, two case studies with historians suggest that PAOH provides a new and effective way to analyze the medium size hypergraphs commonly produced Fig. 10: On the left, the static bipartite node-link diagram originally published by [50] connecting the contractors and contracts in which they are mentioned, clustered by region of origin, and also linked to their construction site visualized as large round points. On the right, a selection of the network showing the contracts signed by at least one member of the "Menafoglio" family, visualized using Paohvis with monthly time slots, colored by region of origin of the contractors.…”

Section: Resultsmentioning

confidence: 99%

“…The visualization also revealed that the collaborations included people from more diverse origins over time. This insight was unexpected as it goes against dominant beliefs in history according to [50].…”

Section: Circulation Of Entrepreneurs In Piedmont During the 18 Th Cementioning

confidence: 99%

“…We worked with two professional historians analyzing the evolution of a network of entrepreneurs in Piedmont (a region of Italy) in the 18 th century [50]. The aim of the study was to understand the ties between building contractors and their mobility through contracts established by cities.…”

Section: Circulation Of Entrepreneurs In Piedmont During the 18 Th Cementioning

confidence: 99%

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Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Valdivia

Buono

Plaisant

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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Parallel Aggregated Ordered Hypergraph (PAOH) is a novel technique to visualize dynamic hypergraphs. Hypergraphs are a generalization of graphs where edges can connect several vertices. Hypergraphs can be used to model networks of business partners or co-authorship networks with multiple authors per article. A dynamic hypergraph evolves over discrete time slots. PAOH represents vertices as parallel horizontal bars and hyperedges as vertical lines, using dots to depict the connections to one or more vertices. We describe a prototype implementation of Parallel Aggregated Ordered Hypergraph, report on a usability study with 9 participants analyzing publication data, and summarize the improvements made. Two case studies and several examples are provided. We believe that PAOH is the first technique to provide a highly readable representation of dynamic hypergraphs. It is easy to learn and well suited for medium size dynamic hypergraphs (50-500 vertices) such as those commonly generated by digital humanities projects-our driving application domain.

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Section: Resultsmentioning

confidence: 99%

Section: Circulation Of Entrepreneurs In Piedmont During the 18 Th Cementioning

confidence: 99%

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Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Valdivia

Buono

Plaisant

et al. 2021

IEEE Trans. Visual. Comput. Graphics

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“…Usually, links are not typed and only encode mentions. More recent analyses in HSNA encode the roles of the persons in the documents as link types [11]. This network model is more aligned with the original sources and allows following an analysis through the original documents themselves and not through concepts.…”

Section: Network Modelsmentioning

confidence: 99%

“…Fig. 2 shows the interface to compare two meaningful groups of construction documents in Piemont during the 18th-century [11]. In this example, we see that the Zo family has more construction contracts in Turin than the Menafoglio family.…”

Section: Applicationsmentioning

confidence: 99%

From Historical Documents To Social Network Visualization: Potential Pitfalls and Network Modeling

Pister¹,

Dufournaud

Cristofoli

et al. 2022

2022 IEEE 7th Workshop on Visualization for the Digital Humanities (VIS4DH)

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We describe the workflow followed by historians when conducting a Historical Social Network Analysis (HSNA) with five steps: textual sources acquisition, digitization, annotation, network creation, and analysis/visualization. While most analysis and visualization tools only support the last step, we argue that addressing the 2-3 last steps would boost the humanists' analytical capabilities. We explain why the network modeling process is particularly challenging and can lead to distortions of the sources, biases, and traceability problems. We list three main properties that we believe the constructed network should satisfy: alignment with reality/documents (not only with concepts), traceability (from documents to analysis/visualization and back), and simplicity (understandable by most and not more complex than needed). We claim that the model of bipartite dynamic multivariate network with roles allows an effective annotation/encoding of historical sources while satisfying these properties. We provide real-world examples of how this model has been used to answer socio-historical questions using visual analytics tools.

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ComBiNet: Visual Query and Comparison of Bipartite Multivariate Dynamic Social Networks

Pister

Prieur

Fekete

2023

Computer Graphics Forum

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We present ComBiNet, a visualization, query, and comparison system for exploring bipartite multivariate dynamic social networks. Historians and sociologists study social networks constructed from textual sources mentioning events related to people, such as marriage acts, birth certificates and contracts. We model this type of data using bipartite multivariate dynamic networks to maintain a representation faithful to the original sources while not too complex. Relying on this data model, ComBiNet allows exploring networks using both visual and textual queries using the Cypher language, the two being synchronized to specify queries using the most suitable modality; simple queries are easy to express visually and can be refined textually when they become complex. These queries are used for applying topological and attribute‐based selection on the network. Query results are visualized in the context of the whole network and over a geographical map for geolocalized entities. We also present the design of our interaction techniques for querying social networks to visually compare the selections in terms of topology, measures and attribute distributions. We validate the query and comparison systems by showing how they have been used to answer historical questions and by explaining how they have been improved through a usability study conducted with historians.

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Temporalities at work on building sites. Professional networks and the multifarious circulation of entrepreneurs in Piedmont during the Eighteenth century

Cited by 3 publications

References 7 publications

Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

From Historical Documents To Social Network Visualization: Potential Pitfalls and Network Modeling

ComBiNet: Visual Query and Comparison of Bipartite Multivariate Dynamic Social Networks

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