Influence Assessment in Twitter Multi-relational Network

2015

International audience; Influence in Twitter has become recently a hot research topic since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade peers. Thus, studying most influential users leads to reach a large-scale information diffusion area, something very useful in marketing or political campaigns. In this paper, we propose a new approach for influence assessment on Twitter network, it is based on a modified version of the conjunctive combination rule in belief functions theory in order to combine different influence markers such as retweets, mentions and replies. We experiment the proposed meth…

A comparison of community-aware centrality measures in online social networks

2021

Do we need metamodels AND ontologies for engineering platforms?

2006

In this paper we show how the joint use of metamodeling and ontologies allows to describe domain knowledge for a complex domain. Ontologies are used as stabilized descriptions of a business domain while metamodels allow a fine description of the domain (to be constructed in the initial phases of modeling). We propose to use an ontology for early categorization, i.e., as a "natural" complement of the formal system that is induced by the metamodel.

Investigating the Relationship Between Community-aware and Classical Centrality Measures

2021

International audience

An empirical study on classical and community-aware centrality measures in complex networks

2021

Community structure is a ubiquitous feature in natural and artificial systems. Identifying key nodes is a fundamental task to speed up or mitigate any diffusive processes in these systems. Centrality measures aim to do so by selecting a small set of critical nodes. Classical centrality measures are agnostic to community structure, while community-aware centrality measures exploit this property. Several works study the relationship between classical centrality measures, but the relationship between classical and community-aware centrality measures is almost unexplored. In this work [1], we answer two questions: (1) How do classical and community-aware centrality measures relate? (2) What is …

Development Platforms as a Niche for Software Companies in Open Source Software

2006

As long as information systems do not become overly large and while they address a well-known domain, they can be controlled by engineering staff. Nevertheless, when dealing with large-scale, complex, or innovative information systems, it can be difficult to separate design issues and to formulate a meaningful information system proposal. In such a context, platforms for software engineering appear to be a promising approach. In this paper, we propose to view development platforms as a major opportunity for Open Source Software and Open Formats.

Fragtique: Applying an OO Database Distribution Strategy to Data Warehouse

2001

We propose a strategy for distribution of a relational data warehouse organized according to a star schema. We adapt fragmentation and allocation strategies that were developed for OO databases. We split the most-often-accessed dimension table into fragments by using primary horizontal fragmentation. The derived fragmentation then divides the fact table into fragments. Other dimension tables are not fragmented since they are presumed to be sufficiently small. Allocation of fragments encompasses duplication of non-fragmented dimension tables that we call a closure.

Towards A Twitter Observatory: A Multi-Paradigm Framework For Collecting, Storing And Analysing Tweets

2016

International audience; In this article we show how a multi-paradigm framework can fulfil the requirements of tweets analysis and reduce the waiting time for researchers that use computational resources and storage systems to support large-scale data analysis. The originality of our approach is to combine concerns about data harvesting, data storage, data analysis and data visualisation into a framework that supports inductive reasoning in multidisciplinary scientific research. Our main contribution is a polyglot storage system with a generic data model to support logical data independence and a set of tools that can provide a suitable solution for mixing different types of algorithms in or…

On the definition of generic multi-layered ontologies for urban applications

2000

Cooperation of information systems is essential for providing decision support for urban management applications. This involves sharing data across collections of the heterogeneous information systems that are used to manage large urban infrastructures. The objective of this work is to define a spatial ontology to describe key features of urban applications, providing a foundation for semantic reconciliation among heterogeneous spatial information sources. We propose a multi-layered ontologies definition framework consisting of ontology layers which are composed of a generic functional structure and one or more domain ontologies. The functional structure embodies general ontological concept…

Analyzing the Correlation of Classical and Community-aware Centrality Measures in Complex Networks

2021

International audience; Identifying influential nodes in social networks is a fundamental issue. Indeed, it has many applications, such as inhibiting epidemic spreading, accelerating information diffusion, preventing terrorist attacks, and much more. Classically, centrality measures quantify the node's importance based on various topological properties of the network, such as Degree and Betweenness. Nonetheless, these measures are agnostic of the community structure, although it is a ubiquitous characteristic encountered in many real-world networks. To overcome this drawback, there is a growing trend to design so-called community-aware centrality measures. Although several works investigate…

Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

2011

International audience; Wikis are appropriate systems for community-authored content. In the past few years, they show that are particularly suitable for collaborative works in cultural heritage. In this paper, we highlight how wikis can be relevant solutions for building cooperative applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out di fferent type of users. We describe the CARE project and explain the conceptual modeling approach. We detail the architecture of WikiBridge, a semantic wiki which allows …

How Correlated Are Community-Aware and Classical Centrality Measures in Complex Networks?

2021

Unlike classical centrality measures, recently developed community-aware centrality measures use a network’s community structure to identify influential nodes in complex networks. This paper investigates their relationship on a set of fifty real-world networks originating from various domains. Results show that classical and community-aware centrality measures generally exhibit low to medium correlation values. These results are consistent across networks. Transitivity and efficiency are the most influential macroscopic network features driving the correlation variation between classical and community-aware centrality measures. Additionally, the mixing parameter, the modularity, and the Max…

An Empirical Comparison of Centrality and Hierarchy Measures in Complex Networks

2020

International audience

A Community-based Approach for Service-based Application Composition in an Ecosystem

2010

The design of composite applications by combining existing services with known semantics is an ongoing topic in current research. Several studies are aimed at providing service description models and standards, service discovery and matching etc. However, service composition in distributed dynamic environments such as P2P ecosystems has received little attention from research communities. In this paper we present a design framework for composing services, taking in particular into account different ways of building peercommunities based on network or services characteristics.

Object Clustering Methods and a Query Decomposition Strategy for Distributed Object-Based Information Systems

1999

Emerging developments and advances in distributed processing have created a need for tools and methods to partition and distribute information systems across interconnected processors. In particular, distribution approaches which take into account the key characteristics of OO concepts are required to extend traditional fragmentation results to object oriented database systems. To fulfill the above requirements, we propose a methodology for the distribution design of object-based information systems. The underlying approach consists of techniques and heuristics that can be used to create clusters of inter-related object classes that can be fragmented interdependently, producing distribution…

Assessing the Relationship Between Centrality and Hierarchy in Complex Networks

2020

International audience

Investigating Centrality Measures in Social Networks with Community Structure

2021

Centrality measures are crucial in quantifying the influence of the members of a social network. Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community structure characterizing many social networks. Recent works have developed community-aware centrality measures that exploit features of the community structure information encountered in most real-world complex networks. In this paper, we investigate the interactions between 5 popular classical centrality measures and 5 community-aware centrality measures using 8 real-world online networks. Correlation as well as similarity measures between both t…

Classical versus Community-aware Centrality Measures: An Empirical Study

2021

International audience

A Approach to Clinical Proteomics Data Quality Control and Import

2011

International audience; Biomedical domain and proteomics in particular are faced with an increasing volume of data. The heterogeneity of data sources implies heterogeneity in the representation and in the content of data. Data may also be incorrect, implicate errors and can compromise the analysis of experiments results. Our approach aims to ensure the initial quality of data during import into an information system dedicated to proteomics. It is based on the joint use of models, which represent the system sources, and ontologies, which are use as mediators between them. The controls, we propose, ensure the validity of values, semantics and data consistency during import process.

UML-Based Metamodeling for Information System Engineering and Evolution

2003

In modelers’ practice metamodels have become the core of UML-based metamodeling environments: metamodels form the basis of application domain descriptions, and they are instantiated into models. In the context of information system engineering and interoperability, we have developped two operations on metamodels: metamodel integration and measure of semantical distance between metamodels. In this paper, we explore application of these operations to information systems’ evolution.

Constraint Management in Engineering of Complex Information Systems

2009

We propose to build an engineering environment for information systems by using metamodels, OCL and symbolic model checkers to manage  constraints. Our proposal is based on a definition of constraints as 3D spaces with  dimensions corresponding to UML diagrams, constructs, and abstraction levels. We show how such environments can help with engineering quality complex systems by allowing to lift up a part of constraint verifications.

L’annuaire des centres de ressources biologiques français

2011

Cette norme sera etendue aux CRB gerant des collections d’echantillons biologiques d’origines animale et vegetale en 2011. Cette evolution a ete rendue necessaire, tout en etant facilitee, par la mise en place de reseaux d’excellence de CRB/biobanques aux niveaux national (reseau des biobanques [6]), europeen (BBMRI [7], EMbaRC [8], EMBRC [9])1 et international (P3G [10]). C’est dans ce contexte que le projet « Infrastructure informatique interoperable pour les CRB » (I3-CRB [11]) a ete finance lors de l’appel a projet 2008 du Groupement d’interet scientifique « infrastructures en biologie sante et agronomie » (GIS IBiSA) et du CCRB. La communaute nationale des CRB a emis le souhait de disp…

Hierarchy and Centrality: Two Sides of The Same Coin?

2020

International audience

Domain knowledge integration and semantical quality management -A biology case study

2008

International audience; The management of semantical quality is a major challenge in the context of knowledge integration. In this paper, we describe a new approach to constraint management that emphasizes constraint traceability when moving from the semantical level to the operational one.Our strategy for management of semantical quality is related to a metamo-deling-based approach to knowledge integration. We carry out knowledge integration “on the fly” by using transformations applied to models belonging to our metamodeling architecture. The resulting integrated models access available resources through web services whose input and output parameters are guarded by constraints. Integrated…

Enhancing scientific information systems with semantic annotations

2013

International audience; Scientific Information Systems aim to produce or improve knowledge on a subject through activities of research and development. The management of scientific dat a requires some essential properties. We propose SemLab an architecture that sup ports interoperability, data quality and extensibility through a unique paradigm: semantic annotation. We present two app lications that validate our architecture.

Access and Annotation of Archaeological Corpus via a Semantic Wiki

2010

Semantic wikis have shown their ability to allow knowledge management and collaborative authoring. They are particularly appropriate for scientific collaboration. This paper details the main concepts and the architecture of WikiBridge, a semantic wiki, and its application in the archaelogical domain. Archaeologists primarily have a document-centric work. Adding meta-information in the form of annotations has proved useful to enhance search. WikiBridge combines models and ontologies to increase data consistency within the wiki. Moreover, it allows several types of annotations: simple annotations, n-ary relations and recursive annotations. The consistency of these annotations is checked synch…

A Modularity Backbone Extraction Method for Weighted Complex Networks

2022

The exponential growth in the size of real-world networks is a major barrier to analyzing their structure and dynamics. Thus, reducing the network's size while maintaining its topological features is highly significant. As community structure is one of the fundamental fingerprints of real-world networks, this work proposes a new node-filtering backbone extraction method to preserve the network's community structure.

Modèle de réseaux multiplexe pour l'étude de l'influence sur Twitter.

2019

International audience

Structured Wiki with Annotation for Knowledge Management: an Application to Cultural Heritage

2011

International audience; In this paper, we highlight how semantic wikis can be relevant solutions for building cooperative data driven applications in domains characterized by a rapid evolution of knowledge. We will point out the semantic capabilities of annotated databases and structured wikis to provide better quality of content, to support complex queries and finally to carry on different type of users. Then we compare database application development with wiki for domains that encompass evolving knowledge. We detail the architecture of WikiBridge, a semantic wiki, which integrates templates forms and allows complex annotations as well as consistency checking. We describe the archaeologic…

Détection de précurseurs d'évènements basés sur les motifs dans les réseaux sociaux

2021

Les données issues des réseaux sociaux suscitent l'intérêt des chercheurs qui développent des algorithmes et des modèles d'apprentissage automatique pour analyser les interactions et les comportements des utilisateurs. Ces méthodes s'appuient sur la topologie du réseau pour représenter les changements structurels et pour détecter des précurseurs remarquables précédant généralement des évènements majeurs. L'étude présentée dans cet article vise à étudier si certains graphlets (motifs spécifiques) peuvent être considérés comme des précurseurs d'évènements. Nous expérimentons la méthode proposée sur trois ensembles de données de réseaux sociaux. Nous étudions également le rôle joué dans les gr…

Évaluation de l’influence dans un réseau multi-relationnel : le cas de Twitter

2016

International audience

SNFreezer: a Platform for Harvesting and Storing Tweets in a Big Data Context

2016

International audience

Modèle tensoriel pour l'entreposage et l'analyse des données des réseaux sociaux Application à l'étude de la viralité sur Twitter

2018

International audience; Dans cet article, nous montrons comment la notion de tenseur permet de construire un modèle multi-paradigmes pour l'entreposage des données sociales. D'un point de vue architecture , cette approche permet de lier différents systèmes de stockage (polystore) et de limiter l'impact des outils ETL réalisant les transformations de modèles pour alimenter différents al-gorithmes d'analyse. Ainsi, le modèle proposé permet d'assurer l'indépendance logique entre les données et les programmes implantant les algorithmes d'analyse. Avec un cas concret ex-trait d'une étude de la viralité sur Twitter durant la période de l'entre deux tours de l'élection présidentielle française de …

Évaluation de l’influence polarisée dans un réseau multi-relationnel : application à twitter

2017

International audience

Traitement des variabilités métier dans les Systèmes d'Information biologiques

2012

International audience; Les systèmes d'information scientifique nécessitent des fonctionnalités pour supporter deux types de variabilités majeures, la variabilité inter-acteurs et la variabilité inter-études. Nous traitons la variabilité inter-acteurs par un système d'importation des données garant de la qualité des données et la variabilité inter-études par l'utilisation d'un mécanisme d'annotation couplé au mécanisme de persistance. Afin de contrôler la qualité des données lors de leur importation en provenance de différents acteurs ou lors de leur annotation, nous proposons une approche basée sur deux niveaux de connaissance : 1) la connaissance relative aux applications du SI est représ…

A Top-Down Approach Based on Business Patterns for Web Information Systems Design

2009

International audience; In this paper we develop an approach that is based on a top-down strategy to realization of transactional web services. Our approach highlights non-functional properties (e.g., traceability, security) which are essential to preserving an application's quality. It is implemented in three steps. The first step is a breakdown of the application in accordance with a related business involved. The goal of this step is to have sets of actors and activity patterns defined as an activity workflow that support the architecture of the application. The next step allows developing a mapping of the activity pattern on this architecture. The aim of this step is to identify the ris…

L'annuaire des Centres de Ressources Biologiques français

2011

International audience

Viral Tweets, Fake News and Social Bots in Post-Factual Politics

2018

•PurposeIn the wake of Brexit and the 2016 US Presidential Elections, “post-factual” society has been heralded as a new era of political communications, where the digital public sphere plays a central role, in spreading “viral” contents and “fake news”, with the help of automated accounts or “social bots”. This paper seeks to define these terms and the methods by which the phenomena they commonly designate might be studied, in order to characterise the dynamics of political deliberation during the 2017 French Presidential Elections on Twitter, the online platform most commonly used for political communication in France. It thus aims to better understand the mechanisms by which information b…

Evaluation de l’influence sur Twitter: Application au projet « Twitter aux Elections Européennes 2014 »

2015

International audience

Analyse des discours sur Twitter dans une situation de crise:Étude de l’incident à l’usine Lubrizol de Rouen

2020

International audience

Évaluation de l’influence dans un réseau multi-relationnel

2016

L'influence sur Twitter est devenue un sujet de recherche important. Certains utilisateurs révèlent plus de capacité que d'autres pour influencer les personnes avec lesquelles ils sont connectés. Ainsi, trouver les utilisateurs les plus influents peut permettre une diffusion efficace de l'information à grande échelle, action très utile dans le marketing ou les campagnes politiques. Dans cet article, nous proposons une nouvelle approche pour l'évaluation de l'influence dans les réseaux multi-relationnels tels que Twitter. Notre méthode est basée sur la règle de combinaison conjonctive de la théorie des fonctions de croyance qui permet de fusionner différents types de relations. Nous expérime…

Un observatoire pour la modélisation et l’analyse des réseaux multi-relationnels. Une application à l'étude du discours politique sur Twitter

2017

International audience

A web application for event detection and exploratory data analysis for Twitter data

2015

International audience

Systèmes d'Information Scientifique : des modèles conceptuels aux annotations sémantiques Application au domaine de l'archéologie et des sciences du …

2013

Les Systèmes d'Information Scientifique (SIS) sont des Systèmes d'Information (SI) dont le but est de produire de la connaissance et non pas de gérer ou contrôler une activité de production de biens ou de services comme les SI d'entreprise. Les SIS se caractérisent par des domaines de recherche fortement collaboratifs impliquant des équipes pluridisciplinaires et le plus souvent géographiquement éloignées, ils manipulent des données aux structures très variables dans le temps qui vont au-delà de la simple hétérogénéité : nuages de points issus de scanner 3D, modèles numériques de terrain, cartographie, publications, données issues de spectromètre de masse ou de technique de thermoluminescen…