Academic literature on the topic 'Visualisation de réseaux sociaux'
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Journal articles on the topic "Visualisation de réseaux sociaux"
Cruz, Juan David, Cécile Botherel, and François Poulet. "Détection et visualisation des communautés dans les réseaux sociaux." Revue d'intelligence artificielle 26, no. 4 (August 30, 2012): 369–92. http://dx.doi.org/10.3166/ria.26.369-392.
Full textCruz, Juan David, Cécile Bothorel, and François Poulet. "Analyse intégrée des réseaux sociaux pour la détection et la visualisation de communautés." Techniques et sciences informatiques 33, no. 4 (February 2014): 399–427. http://dx.doi.org/10.3166/tsi.23.399-427.
Full textDOSENKO, Anzhelika, and Oleksandra SINOWIEC. "CONTENU PHOTOS DES PLATEFORMES DE COMMUNICATION COMME MÉCANISME D'OPPOSITION À LA PROPAGANDE RUSSE (SUR L'EXEMPLE DE LA GUERRE DE LIBÉRATION UKRAINIENNE)." INNOVATIONS IN THE SCIENTIFIC, TECHNICAL AND SOCIAL ECOSYSTEMS 1, no. 5 (November 30, 2022): 21–31. http://dx.doi.org/10.56378/daos02122022.
Full textRosé, Isabelle. "Autour de la reine Emma (vers 890-934): Réseaux, itinéraire biographique féminin et questions documentaires au début du Moyen Âge central." Annales. Histoire, Sciences Sociales 73, no. 4 (December 2018): 817–47. http://dx.doi.org/10.1017/ahss.2019.92.
Full textde la Rúa, Ainhoa de Federico, and Catherine Comet. "Réseaux personnels, réseaux sociaux." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 110, no. 1 (April 2011): 5–10. http://dx.doi.org/10.1177/0759106311399554.
Full textBidart, Claire, Alain Degenne, Michel Grossetti, and Claire Lemercier. "Réseaux sociaux." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 106, no. 1 (April 2010): 45–58. http://dx.doi.org/10.1177/0759106309360110.
Full textGrossetti, Michel. "Que font les réseaux sociaux aux réseaux sociaux ?" Réseaux 184-185, no. 2 (2014): 187. http://dx.doi.org/10.3917/res.184.0187.
Full textCosta, Olivier. "Mouvements sociaux et réseaux sociaux." Hors les murs N° 499, no. 3 (March 21, 2020): 49–50. http://dx.doi.org/10.3917/ehlm.499.0049.
Full textMartin, Gilles. "Les réseaux sociaux." Idées économiques et sociales N° 169, no. 3 (2012): 66. http://dx.doi.org/10.3917/idee.169.0066.
Full textChollet, A. "Les réseaux sociaux." Oncologie 8, S1 (June 2006): hs55—hs57. http://dx.doi.org/10.1007/s10269-006-0416-0.
Full textDissertations / Theses on the topic "Visualisation de réseaux sociaux"
Jourdan, Fabien. "Visualisation d'information : dessin, indices structuraux et navigation : Applications aux réseaux biologiques et aux réseaux sociaux." Montpellier 2, 2004. http://www.theses.fr/2004MON20205.
Full textRenoust, Benjamin. "Analysis and Visualisation of Edge Entanglement in Multiplex Networks." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00942358.
Full textPister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.
Full textThis thesis aims at identifying theoretically and concretely how visual analytics can support historians in their social network analysis process. Historical social network analysis is a method to study social relationships between groups of actors (families, institutions, companies, etc.) through a reconstruction of relationships of the past from historical documents, such as marriage acts, migration forms, birth certificates, and censuses. The use of visualization and analytical methods lets social historians explore and describe the social structure shaping those groups while explaining sociological phenomena and individual behaviors through computed network measures. However, the inspection and encoding of the sources leading to a finalized network is intricate and often results in inconsistencies, errors, distortions, and traceability problems, and current visualization tools typically have usability and interpretability issues. For these reasons, social historians are not always able to make thorough historical conclusions: many studies consist of qualitative descriptions of network drawings highlighting the presence of motifs such as cliques, components, bridges, etc. The goal of this thesis is therefore to propose visual analytics tools integrated into the global social historians' workflow, with guided and easy-to-use analysis capabilities. From collaborations with historians, I formalize the workflow of historical network analysis starting at the acquisition of sources to the final visual analysis. By highlighting recurring pitfalls, I point out that tools supporting this process should satisfy traceability, simplicity, and document reality principles to ease bask and forth between the different steps, provide tools easy to manipulate, and not distort the content of sources with modifications and simplifications. To satisfy those properties, I propose to model historical sources into bipartite multivariate dynamic social networks with roles as they provide a good tradeoff of simplicity and expressiveness while modeling explicitly the documents, hence letting users encode, correct, and analyze their data with the same abstraction and tools. I then propose two interactive visual interfaces to manipulate, explore, and analyze this data model, with a focus on usability and interpretability. The first system ComBiNet allows an interactive exploration leveraging the structure, time, localization, and attributes of the data model with the help of coordinated views and a visual query system allowing users to isolate interesting groups and individuals, and compare their position, structures, and properties. It also lets them highlight erroneous and inconsistent annotations directly in the interface. The second system, PK-Clustering, is a concrete proposition to enhance the usability and effectiveness of clustering mechanisms in social network visual analytics systems. It consists in a mixed-initiative clustering interface that let social scientists create meaningful clusters with the help of their prior knowledge, algorithmic consensus, and interactive exploration of the network. Both systems have been designed with continuous feedback from social historians, and aim to increase the traceability, simplicity, and document reality of visual analytics supported historical social network research. I conclude with discussions on the potential merging of both tools, and more globally on research directions towards better integration of visual analytics systems on the whole workflow of social historians. Systems with a focus on those properties---traceability, simplicity, and document reality---can limit the introduction of bias while lowering the requirements for the use of quantitative methods for historians and social scientists which has always been a controversial discussion among practitioners
Henry, Nathalie. "Exploring large social networks with matrix-based representations." Paris 11, 2008. http://www.theses.fr/2008PA112237.
Full textWith the increasing use of Internet technologies, social scientists have more data to analyze. Online communities such as Facebook or Flickr provide rich information on how people communicate and how their social network evolves. To analyze this data, social scientists require robust tools that can handle large and complex networks and allow a flexible analysis from overviews of the entire dataset to detailed analysis of important sections. As human brain is particularly effective at processing visual information, we propose to support the exploration of social networks by information visualization. Previous tools for network visualization are mostly based on node-link diagrams, suffering of readability issues (node overlapping or edge crossing) for either large or dense networks. In this thesis, we investigate alternative representations based on adjacency matrices. Following participatory design principles, we involved social scientists into the design of three interactive visual systems: MatrixExplorer, MatLink and NodeTrix. MatrixExplorer combines matrices and node-link diagrams. Both representations are coordinated and a set of interactive tools allows their manipulation. MatLink is an augmented matrix, providing interactive links on its border to help performing some connectivity tasks. Finally, NodeTrix represents networks as node-link diagrams, using matrices for dense sub-parts. NodeTrix is particularly suited for small-world networks, globally sparse but locally dense. This dissertation presents the design and evaluation of these three systems including a case study analyzing 20 years of publications data in Human-Computer Interaction
Laumond, Antoine. "Exploration, navigation et visualisation des réseaux multi-couches à travers les sciences humaines et sociales." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0076.
Full textNowadays networks are becoming more and more common subjects of study in many fields: from online social networks to criminal networks and linked collections of documents. Among these networks, a particular type of network, called "multi-layer networks", are composed of several sets of elements of distinct types ("the layers"). These objects are commonly encountered in the humanities and social sciences research fields but can be difficult to exploit because of their semantic complexity. To this end, we present M-QuBEEE, a method to explore multi-layer networks by successive and evolutive subnetwork extractions. Specifically adapted to the methodology of experts in the human and social sciences, M-QuBEEE determines the pertinence of each element of the network in order to propose a partial view relevant to the users. Users can then continue to interact iteratively on these sub-networks to improve their views or explore new directions
Gilbert, Frédéric. "Méthodes et modèles pour la visualisation de grandes masses de données multidimensionnelles nominatives dynamiques." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14498/document.
Full textSince ten years, informations visualization domain knows a real interest.Recently, with the growing of communications, the research on social networks analysis becomes strongly active. In this thesis, we present results on dynamic social networks analysis. That means that we take into account the temporal aspect of data. We were particularly interested in communities extraction within networks and their evolutions through time. [...]
Renaud, Clément. "Conception d'un outil d'analyse et de visualisation des mèmes internet : le cas du réseau social chinois Sina Weibo." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0070.
Full textWe develop a data mining and visualisation toolkit to study how the information is shared on online social network services. This software allows to observe relationships between conversational, semantical, temporal and geographical dimensions of online communication acts. Internet memes are short messages that spread quickly through the Web. Following models that remain largely unknown, they articulate personal discussions, societal debates and large communication campaign. We analyse a set of Internet memes by using methods from social network analysis and Chinese natural language processing on a large corpus of 200 million tweets which represents/reflects the overall activity on the Chinese social network Sina Weibo in 2012. An interactive visualisation interface showing networks of words, user exchanges and their projections on geographical maps provides a detailed understanding of actual and textual aspects of each meme spread. An analysis of hashtags in the corpus shows that the main content from Sina Weibo is largely similar to the ones in traditional media (advertisement, entertainment, etc.). Therefore, we decided to not consider hashtags as memes representatives, being mostly byproducts of wellplanned strategic or marketingcampaigns. Our final approach studies a dozen of memes selected for the diversity of their topic: humor, political scandal, breaking news and marketing
Vallet, Jason. "Where Social Networks, Graph Rewriting and Visualisation Meet : Application to Network Generation and Information Diffusion." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0818/document.
Full textIn this thesis, we present a collection of network generation and information diffusion models expressed using a specific formalism called strategic located graph rewriting, as well as a novel network layout algorithm to show the result of information diffusion in large social networks. Graphs are extremely versatile mathematical objects which can be used to represent a wide variety of high-level systems. They can be transformed in multiple ways (e.g., creating new elements, merging or altering existing ones), but such modifications must be controlled to avoid unwanted operations. To ensure this point, we use a specific formalism called strategic graph rewriting. In this work, a graph rewriting system operates on a single graph, which can then be transformed according to some transformation rules and a strategy to steer the transformation process. First, we adapt two social network generation algorithms in order to create new networks presenting small-world characteristics. Then, we translate different diffusion models to simulate information diffusion phenomena. By adapting the different models into a common formalism, we make their comparison much easier along with the adjustment of their parameters. Finally, we finish by presenting a novel compact layout method to display overviews of the results of our information diffusion method
Greffard, Nicolas. "Visualisation stéréoscopique et interactive de structures en communautés dans des graphes." Phd thesis, Université de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-01072368.
Full textGreffard, Nicolas. "Visualisation stéréoscopique et interactive de structures en communautés dans des graphes." Phd thesis, Nantes, 2013. https://archive.bu.univ-nantes.fr/pollux/show/show?id=1a7138cf-3841-4f6d-9323-e301aebc9d4d.
Full textEver since the pioneering work of Moreno in 1934, social network analysis has always included drawings depicting relationships between actors. From these days, the graph visualization field has grown within the graph drawing and information visualization communities. Besides the algorithmic and combinatoric questions arising from graph drawings, new challenges now include networks visual data mining. Usually referred to as visual analytics it involves the integration of the user at the heart of the analysis. In this thesis, we focus on interactive and stereoscopic visual restitutions allowing the user to drive the mining process. Using a ad hoc experimental environment, we try to assert their its impact on a popular task of community detection. Through several experiments, we show that for a specific class of graphs, 2D seems more adapted for the easier graphs while stereoscopic 3D is beneficial for the more complex ones. We also identify some differences in the interactions between the stereo and mono conditions, which seems to indicate behavioral differences emerging from differing interaction strategies. We also propose some prospects such as the implementation of a library allowing hands-free interactions adapted to visual mining in front of a large screen
Books on the topic "Visualisation de réseaux sociaux"
Réseaux sociaux: Culture politique et ingénierie des réseaux sociaux. [Paris]: Fyp, 2012.
Find full textGuide complet des réseaux sociaux. Paris: First interactive, 2013.
Find full textSarte, Louis-Serge Real del. Les réseaux sociaux sur Internet. Monaco: Alphée, 2010.
Find full textRéseaux sociaux et révolutions arabes? Paris: Michalon, 2012.
Find full textBakis, Henry. Les réseaux et leurs enjeux sociaux. Paris: Presses universitaires de France, 1993.
Find full textL' analyse structurale des réseaux sociaux. [Québec]: Presses de l'Université Laval, 2004.
Find full textAbiker, David, (1969- ...)., Préface, ed. La boîte à outils des réseaux sociaux. 2nd ed. Paris: Dunod, 2014.
Find full textMboumba, Hervé Pambo. Les Réseaux Sociaux à l'Abri de l'Émergence. Saarbrücken: Éditions universitaires européennes, 2017.
Find full textConfidents: Une analyse structurale de réseaux sociaux. Paris: L'Harmattan, 2007.
Find full textJulie, Denouël, and Proulx Serge, eds. Les réseaux sociaux sont-ils nos amis ? Paris: Le Muscadier, 2012.
Find full textBook chapters on the topic "Visualisation de réseaux sociaux"
Chauvac, Nathalie, and Catherine Comet. "Réseaux sociaux." In Dictionnaire sociologique de l’entrepreneuriat, 490–507. Presses de Sciences Po, 2014. http://dx.doi.org/10.3917/scpo.chauv.2015.01.0490.
Full textJAVERLIAT, Pascal, Frank PIZON, and Laurent GERBAUD. "La modélisation des conceptions en santé." In Revue Education, Santé, Sociétés, Vol. 7, No. 2, 85–100. Editions des archives contemporaines, 2021. http://dx.doi.org/10.17184/eac.4672.
Full textCinalli, Manlio. "Analyse de réseaux." In Dictionnaire des mouvements sociaux, 31–38. Presses de Sciences Po, 2009. http://dx.doi.org/10.3917/scpo.filli.2009.01.0031.
Full textCinalli, Manlio. "Analyse de réseaux." In Dictionnaire des mouvements sociaux, 38–43. Presses de Sciences Po, 2020. http://dx.doi.org/10.3917/scpo.filli.2020.01.0038.
Full textMériot, M. E. "Forums et réseaux sociaux." In Le Deuil Périnatal, 287–89. Elsevier, 2020. http://dx.doi.org/10.1016/b978-2-294-76813-2.00034-3.
Full textLachance, Jocelyn. "Adolescence et réseaux sociaux." In Médecine et Santé de L'adolescent, 111–14. Elsevier, 2019. http://dx.doi.org/10.1016/b978-2-294-75919-2.00016-3.
Full textMonnier, Angeliki. "Internet et réseaux sociaux." In Discours de haine et de radicalisation, 459–66. ENS Éditions, 2023. http://dx.doi.org/10.4000/books.enseditions.44200.
Full textCarbasse, Renaud. "LA DÉONTOLOGIE JOURNALISTIQUE ET LES RÉSEAUX SOCIAUX:." In Médias sociaux, 203–16. Presses de l'Université du Québec, 2012. http://dx.doi.org/10.2307/j.ctv18pgp4w.15.
Full textCardon, Dominique. "LE PARLER PRIVÉ-PUBLIC DES RÉSEAUX SOCIAUX D’INTERNET." In Médias sociaux, 33–46. Presses de l'Université du Québec, 2012. http://dx.doi.org/10.2307/j.ctv18pgp4w.5.
Full text"Bibliographie." In Pro en Réseaux sociaux, 193. Vuibert, 2022. http://dx.doi.org/10.3917/vuib.balag.2022.01.0193.
Full textConference papers on the topic "Visualisation de réseaux sociaux"
DUTEIL, Carine, and Nicolas PICARD. "Je comprends, donc j’agis ?" In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.571.
Full textDuplain Laferrière, Frédérique, Gabrielle Lapointe, Véronique Noël, Gaël Bouffard, and Chantal Bouffard. "Analyse rétrospective de l’utilisation des réseaux sociaux pour le recrutement d’adolescent(e)s atteints de NF1, de femmes enceintes, de chercheurs/euses fondamentalistes et de médecins." In Recrutement et consentement à la recherche : réalités et défis éthiques. Éditions de l'Université de Sherbrooke, 2018. http://dx.doi.org/10.17118/11143/14117.
Full textReports on the topic "Visualisation de réseaux sociaux"
Kaboré, Gisele. Réseaux sociaux et les capacités financières des filles employées de maison à Bobo-Dioulasso. Population Council, 2012. http://dx.doi.org/10.31899/pgy12.1064.
Full textPrice, Roz. Informalité et groupes marginalisés dans la réponse aux crises. Institute of Development Studies, November 2023. http://dx.doi.org/10.19088/core.2023.004.
Full textBouchard, Aline, and Christophe Boudry. Utilisation et usages des identifiants numériques chercheurs en France. Synthèse de l’enquête nationale 2023. Ministère de l’enseignement supérieur et de la recherche, 2024. http://dx.doi.org/10.52949/57.
Full textLe Béchec, Mariannig, Aline Bouchard, Philippe Charrier, Claire Denecker, Gabriel Gallezot, and Stéphanie Rennes. State of open science practices in france (SOSP-FR). Ministère de l'enseignement supérieur et de la recherche, January 2022. http://dx.doi.org/10.52949/5.
Full textWarin, Thierry, Nathalie de Marcellis-Warin, and Robert Normand. Mieux comprendre le niveau d’adoption Des cryptoactifs au Québec. CIRANO, November 2022. http://dx.doi.org/10.54932/cswf3465.
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