Mathieu Jacomy
Biographic Data
| ID | 912974 |
|---|---|
| NAME | Mathieu Jacomy |
| GIVEN NAMES | Mathieu |
| FAMILY NAME | Jacomy |
| SIGNATURE | JACOMY M |
| AFFILIATIONS | Aalborg University |
| ORCID | 0000-0002-6417-6895 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Interfering with the black-box-tradeoff model: Gephisto, a one-click Gephi for critical technical practice
This paper presents and justifies Gephisto, an experimental tool visualizing networks in one click. Gephisto’s design exemplifies how we can interfere with a user’s utilitarian goals, by giving them what they wish (an easy way to get a network map) but in disobedient ways (the produced map is different every time the tool is used) that encourage them to engage further with the tool’s methodological tenets. As an apparatus, Gephisto aims to incent…
Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature
Mounting critique of the way AI is framed in mainstream media calls for less sensationalist coverage, be it jubilant or apocalyptic, and more attention to the concrete situations in which AI becomes controversial in different ways. This is supposedly achieved by making coverage more expert-informed. We therefore explore how experts contribute to the issuefication of AI through the scientific literature. We provide a semantic, visual network analy…
The Thick Machine: Anthropological AI between explanation and explication
According to Clifford Geertz, the purpose of anthropology is not to explain culture but to explicate it. That should cause us to rethink our relationship with machine learning. It is, we contend, perfectly possible that machine learning algorithms, which are unable to explain, and could even be unexplainable themselves, can still be of critical use in a process of explication. Thus, we report on an experiment with anthropological AI. From a datas…
The Mapping Turk: Human Judgment Driving Algorithms to Visualise Twitter During the 2022 French Presidential Election
I had the occasion of visualising the French political Twitter just before the presidential election of 2022, in collaboration with other researchers and the journalists of the French newspaper Le Monde. In this paper, I reflect on this case in an auto-ethnographic style to open the black box of visual network analysis and expose the entangled dialogue between human expertise and computation. I contend that the visualisation's validity does not r…
Disséminer sa recherche dans l’espace public numérique: Notes d’un chercheur connecté
Les médias sociaux offrent aux chercheurs des moyens de connaître leur public, bien qu’imparfaitement. C’est l’un des intérêts d’ouvrir un carnet de recherche en ligne ou un compte Twitter. À partir de ma propre expérience de partage sur Twitter et d’écriture d’un carnet de recherche sur Hypothèses.org, je brosse un portrait de l’espace public numérique, tel qu’il se présente à moi dans ce contexte, inspiré des travaux de Franck Ghitalla sur le w…
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts
It is increasingly common in natural and social sciences to rely on network visualizations to explore relational datasets and illustrate findings. Such practices have been around long enough to prove that scholars find it useful to project networks in a two-dimensional space and to use their visual qualities as proxies for their topological features. Yet these practices remain based on intuition, and the foundations and limits of this type of exp…
Epistemic clashes in network science: Mapping the tensions between idiographic and nomothetic subcultures
This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that (1) the concept of complex networks is …
Actor-Network versus Network Analysis versus Digital Networks: Are We Talking about the Same Networks?
Ator-rede versus Análise de Redes versus Redes Digitais: Falamos Das Mesmas Redes
Este artigo discute diferenças e afinidades entre três tipos de rede (Ator-Rede, Análise de Redes e Redes Digitais) importantes para o Digital STS.2 Nas últimas décadas, a colonização de pesquisas em STS foi lenta e gradual. Ela se inicia com a Teoria Ator-Rede (TAR), que oferece um conjunto de noções para descrever a construção de fenômenos sociotécnicos. Com o advento da Análise de Redes, estudiosos incorporam técnicas de investigação e visuali…
An unexpected journey: A few lessons from sciences Po médialab's experience
In this article, we present a few lessons we learnt in the establishment of the Sciences Po médialab. As an interdisciplinary laboratory associating social scientists, code developers and information designers, the médialab is not one of a kind. In the last years, several of such initiatives have been established around the world to harness the potential of digital technologies for the study of collective life. If we narrate this particular story…
Zoomer n'est pas explorer: Spatialiser les graphes, catégoriser et (dé)construire les réseaux
A partir du cas du web du livre en France, cet article interroge la notion de zoom dans l'exploration visuelle de réseaux. En soumettant un graphe à des questionnements et traitements successifs, il devient possible de comprendre ce qui apparaît comme une anomalie pour le chercheur, un entrelacement sur le plan visuel de deux communautés pourtant distinctes du point de vue des catégories et de l'algorithme de modularité. En appliquant ces différe…
Hors champs: La multipositionnalité par l’analyse des réseaux
Cet article reprend une recherche de Luc Boltanski sur les enseignants de l'IEP de Paris. Dans cette recherche, Boltanski s'appuie sur une représentation tabulaire des champs sociaux pour montrer que la classe dominante se caractérise avant tout par sa multipositionnalité, c'est-à-dire par la tendance de ses membres à occuper plusieurs positions dans plusieurs champs. En remplaçant le tableau de Boltanski par un graphe d'individus et d'institutio…
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
Gephi is a network visualization software used in various disciplines (social network analysis, biology, genomics...). One of its key features is the ability to display the spatialization process, aiming at transforming the network into a map, and ForceAtlas2 is its default layout algorithm. The latter is developed by the Gephi team as an all-around solution to Gephi users' typical networks (scale-free, 10 to 10,000 nodes). We present here for th…
Le web matrimonial des migrants: L'économie du profilage au service d'une nouvelle forme de commerce ethnique
Cet article se propose d'engager une réflexion sur le web matrimonial des migrants (WMM) en tant que forme inédite de commerce ethnique posant l'égalité « faire du commerce » = « faire du réseau » (et non plus s'appuyer sur des réseaux ethniques préexistants). Le WMM est fondée sur une économie du profilage singulière puisque dépendante d'une ethnicisation des profils (et donc des utilisateurs) : « faire du réseau » = « ethniciser ». Enfin, le WM…
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and multi-task architecture brings new possibilities to work with complex data sets and produce valuable visual results. We present several key features of Gephi in the context of interactive exploration and interpretation of networks. It provides easy and broad access to ne…
The Thick Machine: Anthropological AI between explanation and explication
According to Clifford Geertz, the purpose of anthropology is not to explain culture but to explicate it. That should cause us to rethink our relationship with machine learning. It is, we contend, perfectly possible that machine learning algorithms, which are unable to explain, and could even be unexplainable themselves, can still be of critical use in a process of explication. Thus, we report on an experiment with anthropological AI. From a datas…
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts
It is increasingly common in natural and social sciences to rely on network visualizations to explore relational datasets and illustrate findings. Such practices have been around long enough to prove that scholars find it useful to project networks in a two-dimensional space and to use their visual qualities as proxies for their topological features. Yet these practices remain based on intuition, and the foundations and limits of this type of exp…
Zoomer n'est pas explorer: Spatialiser les graphes, catégoriser et (dé)construire les réseaux
A partir du cas du web du livre en France, cet article interroge la notion de zoom dans l'exploration visuelle de réseaux. En soumettant un graphe à des questionnements et traitements successifs, il devient possible de comprendre ce qui apparaît comme une anomalie pour le chercheur, un entrelacement sur le plan visuel de deux communautés pourtant distinctes du point de vue des catégories et de l'algorithme de modularité. En appliquant ces différe…
Le web matrimonial des migrants: L'économie du profilage au service d'une nouvelle forme de commerce ethnique
Cet article se propose d'engager une réflexion sur le web matrimonial des migrants (WMM) en tant que forme inédite de commerce ethnique posant l'égalité « faire du commerce » = « faire du réseau » (et non plus s'appuyer sur des réseaux ethniques préexistants). Le WMM est fondée sur une économie du profilage singulière puisque dépendante d'une ethnicisation des profils (et donc des utilisateurs) : « faire du réseau » = « ethniciser ». Enfin, le WM…
Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature
Mounting critique of the way AI is framed in mainstream media calls for less sensationalist coverage, be it jubilant or apocalyptic, and more attention to the concrete situations in which AI becomes controversial in different ways. This is supposedly achieved by making coverage more expert-informed. We therefore explore how experts contribute to the issuefication of AI through the scientific literature. We provide a semantic, visual network analy…
The Mapping Turk: Human Judgment Driving Algorithms to Visualise Twitter During the 2022 French Presidential Election
I had the occasion of visualising the French political Twitter just before the presidential election of 2022, in collaboration with other researchers and the journalists of the French newspaper Le Monde. In this paper, I reflect on this case in an auto-ethnographic style to open the black box of visual network analysis and expose the entangled dialogue between human expertise and computation. I contend that the visualisation's validity does not r…
Epistemic clashes in network science: Mapping the tensions between idiographic and nomothetic subcultures
This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that (1) the concept of complex networks is …
Hors champs: La multipositionnalité par l’analyse des réseaux
Cet article reprend une recherche de Luc Boltanski sur les enseignants de l'IEP de Paris. Dans cette recherche, Boltanski s'appuie sur une représentation tabulaire des champs sociaux pour montrer que la classe dominante se caractérise avant tout par sa multipositionnalité, c'est-à-dire par la tendance de ses membres à occuper plusieurs positions dans plusieurs champs. En remplaçant le tableau de Boltanski par un graphe d'individus et d'institutio…
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and multi-task architecture brings new possibilities to work with complex data sets and produce valuable visual results. We present several key features of Gephi in the context of interactive exploration and interpretation of networks. It provides easy and broad access to ne…
Le web matrimonial des migrants: L'économie du profilage au service d'une nouvelle forme de commerce ethnique
Cet article se propose d'engager une réflexion sur le web matrimonial des migrants (WMM) en tant que forme inédite de commerce ethnique posant l'égalité « faire du commerce » = « faire du réseau » (et non plus s'appuyer sur des réseaux ethniques préexistants). Le WMM est fondée sur une économie du profilage singulière puisque dépendante d'une ethnicisation des profils (et donc des utilisateurs) : « faire du réseau » = « ethniciser ». Enfin, le WM…
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
Gephi is a network visualization software used in various disciplines (social network analysis, biology, genomics...). One of its key features is the ability to display the spatialization process, aiming at transforming the network into a map, and ForceAtlas2 is its default layout algorithm. The latter is developed by the Gephi team as an all-around solution to Gephi users' typical networks (scale-free, 10 to 10,000 nodes). We present here for th…
Zoomer n'est pas explorer: Spatialiser les graphes, catégoriser et (dé)construire les réseaux
A partir du cas du web du livre en France, cet article interroge la notion de zoom dans l'exploration visuelle de réseaux. En soumettant un graphe à des questionnements et traitements successifs, il devient possible de comprendre ce qui apparaît comme une anomalie pour le chercheur, un entrelacement sur le plan visuel de deux communautés pourtant distinctes du point de vue des catégories et de l'algorithme de modularité. En appliquant ces différe…
Hors champs: La multipositionnalité par l’analyse des réseaux
Cet article reprend une recherche de Luc Boltanski sur les enseignants de l'IEP de Paris. Dans cette recherche, Boltanski s'appuie sur une représentation tabulaire des champs sociaux pour montrer que la classe dominante se caractérise avant tout par sa multipositionnalité, c'est-à-dire par la tendance de ses membres à occuper plusieurs positions dans plusieurs champs. En remplaçant le tableau de Boltanski par un graphe d'individus et d'institutio…
An unexpected journey: A few lessons from sciences Po médialab's experience
In this article, we present a few lessons we learnt in the establishment of the Sciences Po médialab. As an interdisciplinary laboratory associating social scientists, code developers and information designers, the médialab is not one of a kind. In the last years, several of such initiatives have been established around the world to harness the potential of digital technologies for the study of collective life. If we narrate this particular story…
Ator-rede versus Análise de Redes versus Redes Digitais: Falamos Das Mesmas Redes
Este artigo discute diferenças e afinidades entre três tipos de rede (Ator-Rede, Análise de Redes e Redes Digitais) importantes para o Digital STS.2 Nas últimas décadas, a colonização de pesquisas em STS foi lenta e gradual. Ela se inicia com a Teoria Ator-Rede (TAR), que oferece um conjunto de noções para descrever a construção de fenômenos sociotécnicos. Com o advento da Análise de Redes, estudiosos incorporam técnicas de investigação e visuali…
Actor-Network versus Network Analysis versus Digital Networks: Are We Talking about the Same Networks?
Epistemic clashes in network science: Mapping the tensions between idiographic and nomothetic subcultures
This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that (1) the concept of complex networks is …
Disséminer sa recherche dans l’espace public numérique: Notes d’un chercheur connecté
Les médias sociaux offrent aux chercheurs des moyens de connaître leur public, bien qu’imparfaitement. C’est l’un des intérêts d’ouvrir un carnet de recherche en ligne ou un compte Twitter. À partir de ma propre expérience de partage sur Twitter et d’écriture d’un carnet de recherche sur Hypothèses.org, je brosse un portrait de l’espace public numérique, tel qu’il se présente à moi dans ce contexte, inspiré des travaux de Franck Ghitalla sur le w…
What do we see when we look at networks: Visual network analysis, relational ambiguity, and force-directed layouts
It is increasingly common in natural and social sciences to rely on network visualizations to explore relational datasets and illustrate findings. Such practices have been around long enough to prove that scholars find it useful to project networks in a two-dimensional space and to use their visual qualities as proxies for their topological features. Yet these practices remain based on intuition, and the foundations and limits of this type of exp…
The Thick Machine: Anthropological AI between explanation and explication
According to Clifford Geertz, the purpose of anthropology is not to explain culture but to explicate it. That should cause us to rethink our relationship with machine learning. It is, we contend, perfectly possible that machine learning algorithms, which are unable to explain, and could even be unexplainable themselves, can still be of critical use in a process of explication. Thus, we report on an experiment with anthropological AI. From a datas…
The Mapping Turk: Human Judgment Driving Algorithms to Visualise Twitter During the 2022 French Presidential Election
I had the occasion of visualising the French political Twitter just before the presidential election of 2022, in collaboration with other researchers and the journalists of the French newspaper Le Monde. In this paper, I reflect on this case in an auto-ethnographic style to open the black box of visual network analysis and expose the entangled dialogue between human expertise and computation. I contend that the visualisation's validity does not r…
Interfering with the black-box-tradeoff model: Gephisto, a one-click Gephi for critical technical practice
This paper presents and justifies Gephisto, an experimental tool visualizing networks in one click. Gephisto’s design exemplifies how we can interfere with a user’s utilitarian goals, by giving them what they wish (an easy way to get a network map) but in disobedient ways (the produced map is different every time the tool is used) that encourage them to engage further with the tool’s methodological tenets. As an apparatus, Gephisto aims to incent…
Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature
Mounting critique of the way AI is framed in mainstream media calls for less sensationalist coverage, be it jubilant or apocalyptic, and more attention to the concrete situations in which AI becomes controversial in different ways. This is supposedly achieved by making coverage more expert-informed. We therefore explore how experts contribute to the issuefication of AI through the scientific literature. We provide a semantic, visual network analy…
Computer Science (8 works) · Complex Network Analysis Techniques (7 works) · Data Visualization and Analytics (5 works) · Epistemology (5 works) · Humanities (5 works) · Sociology (5 works) · Artificial Intelligence (4 works) · Data science (4 works) · Political science (4 works) · Visualization (4 works)