Complex Networks and Data Communication Group
Research areas
Complex Systems
We study complex networks via k-core decomposition and community detection. Graph theory and propagation models applied to biological, social and technological networks.
Data Science
Large-scale analysis of Twitter traces, electoral data, and Call Detail Records (CDR). We infer human mobility, content demand, and online community dynamics.
Internet
Internet tomography and topology modelling (BGP, IXPs, AS-level). We design routing protocols whose tables grow sub-linearly with network size.
Network traffic
Statistical self-similar characterization of residential traffic. Continuous low-load probing for QoS assessment and IXP/CDN traffic detection.
Ad-hoc networks
Routing protocols for infrastructure-less wireless networks. We developed ANTop (bio-inspired algorithm) and evaluated it on the QUENAS simulator.
News
| Oct 15, 2025 | New release of LaNet-vi (large-network visualization via k-core decomposition). |
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| Jun 15, 2025 | netcores launched — interactive analysis of the Internet core. |
| Jan 20, 2023 | NetSci-x 2023 conference — hosted by CoNexDat. |
| Aug 1, 2022 | Group seminars — schedule and recordings. |
| Apr 1, 2020 | COVID-19 — our projects during the pandemic. |
| Sep 1, 2019 | IEEE ComSoc Latin America Open Webinars — webinar series. |
| Jun 1, 2019 | Fourth issue of elektron magazine now available. |
Featured projects
CDNs
How Content Providers became central to the AS ecosystem after the rise of private CDNs.
TiX
Traffic information eXchange — a tool to measure the quality of your Internet access.
UBACyT
Internet: residential QoS measurement, tomographic analysis, and routing-algorithm proposals.
Research group within INTECIN — Instituto de Tecnologías y Ciencias de la Ingeniería “Ing. Hilario Fernández Long”.