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Jean‐charles Delvenne

Biographic Data

ID4163800
NAMEJean‐charles Delvenne
GIVEN NAMESJean‐charles
FAMILY NAMEDelvenne
SIGNATUREDELVENNE J C
AFFILIATIONSUCLouvain Saint-Louis Brussels
ORCID0000-0003-2356-7790
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2019
H-INDEX0
  • Dynamics On and Of Complex Networks III

    Open Access•Fowzia Karimi, Jean‐charles Delvenne et al.•BOOK•Dynamics On and Of Complex…•2019

  • Cartographies des champs d’interaction dans et autour de Bruxelles

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    A l’aide de données relationnelles conventionnelles (migrations résidentielles, navettes de travail) et moins conventionnelles (appels de téléphonie mobile), l’espace dans et autour de la Région de Bruxelles-Capitale est partitionné en groupes de lieux fortement inter-reliés à l’aide d’une méthode mathématique de détection de communautés. Les partitions obtenues conduisent à des structures spatiales fortes alors que ni la distance ni les caractér…

  • Cartography of interaction fields in and around Brussels

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    Using conventional relational data (residential migrations, commutes to and from the workplace) and less conventional relational data (mobile telephony calls), the space in and around the Brussels-Capital Region is partitioned into groups of closely inter-related places using a mathematical community detection method. The partitions obtained lead to strong spatial structures, while neither the distance nor the characteristics of the places are ta…

  • Cartografie van de interactiegebieden in en rond Brussel

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    Aan de hand van conventionele (woonmigraties en woon-werkverplaatsingen) en minder conventionele (mobiele telefoongesprekken) relationele gegevens wordt de ruimte in en rond het Brussels Hoofdstedelijk Gewest opgedeeld in groepen van plaatsen, die nauw met elkaar verbonden zijn, op basis van een wiskundige methode voor de detectie van gemeenschappen. De verkregen indelingen (partities) leiden tot sterke ruimtelijke structuren, hoewel de methode g…

  • Data-driven traffic and diffusion modeling in peer-to-peer networks

    Open Access•Romain Hollanders, Daniel Faria Bernardes et al.•ARTICLE•Network Science•2014•References: 3

    Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …

No prominent works on this page.

  • Data-driven traffic and diffusion modeling in peer-to-peer networks

    Open Access•Romain Hollanders, Daniel Faria Bernardes et al.•ARTICLE•Network Science•2014•References: 3

    Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …

  • Cartographies des champs d’interaction dans et autour de Bruxelles

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    A l’aide de données relationnelles conventionnelles (migrations résidentielles, navettes de travail) et moins conventionnelles (appels de téléphonie mobile), l’espace dans et autour de la Région de Bruxelles-Capitale est partitionné en groupes de lieux fortement inter-reliés à l’aide d’une méthode mathématique de détection de communautés. Les partitions obtenues conduisent à des structures spatiales fortes alors que ni la distance ni les caractér…

  • Cartography of interaction fields in and around Brussels

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    Using conventional relational data (residential migrations, commutes to and from the workplace) and less conventional relational data (mobile telephony calls), the space in and around the Brussels-Capital Region is partitioned into groups of closely inter-related places using a mathematical community detection method. The partitions obtained lead to strong spatial structures, while neither the distance nor the characteristics of the places are ta…

  • Cartografie van de interactiegebieden in en rond Brussel

    Open Access•Arnaud Adam, Jean‐charles Delvenne et al.•ARTICLE•Brussels Studies•2017

    Aan de hand van conventionele (woonmigraties en woon-werkverplaatsingen) en minder conventionele (mobiele telefoongesprekken) relationele gegevens wordt de ruimte in en rond het Brussels Hoofdstedelijk Gewest opgedeeld in groepen van plaatsen, die nauw met elkaar verbonden zijn, op basis van een wiskundige methode voor de detectie van gemeenschappen. De verkregen indelingen (partities) leiden tot sterke ruimtelijke structuren, hoewel de methode g…

  • Dynamics On and Of Complex Networks III

    Open Access•Fowzia Karimi, Jean‐charles Delvenne et al.•BOOK•Dynamics On and Of Complex…•2019

Art (3 works) · Computer Science (3 works) · Humanities (3 works) · Complex Network Analysis Techniques (2 works) · Data mining (2 works) · Geographic Information Systems Studies (2 works) · Human Mobility and Location-Based Analysis (2 works) · Political science (2 works) · Sociology (2 works) · World Wide Web (2 works)

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