Jean-Charles Delvenne
Biographic Data
| ID | 8574526 |
|---|---|
| NAME | Jean-Charles Delvenne |
| GIVEN NAMES | Jean-Charles |
| FAMILY NAME | Delvenne |
| SIGNATURE | DELVENNE J |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Dynamics On and Of Complex Networks III
Cartographies des champs d’interaction dans et autour de Bruxelles
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
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
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
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
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
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
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
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
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)