Laboratory of Mathematical Computing in Complex Networks and Applications (LACOMARCA)

Essays / Services offered

All structural, dynamic and process analysis services are offered in complex networks, both synthetic and real, from obtaining and building networks to auditing properties such as resilience, vulnerability and optimal improvement of structure and dynamics. In particular:

• Construction of complex networks from data sets and time series, as well as local properties (degree distributions, etc).
• Numerical analysis of local, global and mesoscale structural properties, including analysis of centrality, communities, robustness, metric and spectral properties, among many others.
• Simulation of linear and nonlinear dynamic processes in synthetic networks or based on real data. Computation of synchronization measurements, calculation of synchrony clusters and estimation of spectral parameters for total or partial synchronization.
• Numerical analysis of diffusive processes, games, random walkers and other stochastic processes in both synthetic and real complex networks. Location of asymptotic states and estimation of convergence speeds.
• Development of analytical and numerical mathematical models of the structure, dynamics and processes in complex systems modeled as networks of any type (both conventional and multilayer or higher order) adjusted to real data and applications.
• Data analysis, development and application of data science and artificial intelligence methods both in complex networks and using complex networks. Comparative analysis and validation of results.

Our Team

Scientific Director:

• Miguel Romance del Río, University Professor ()

Technology Directors:

• David González de la Aleja Gallego, Hired Professor Interim Doctor ()
• Gonzalo Contreras Aso, Predoctoral Researcher Program of the URJC ()

Scientific Team:

• Regino Criado Herrero, Professor at the University of the URJC ()
• Stefano Boccaletti, Distinguished International Researcher of the URJC ()
• Karin P. Alfaro-Bittner, Distinguished International Researcher of the URJC ()
• Alejandro J. García del Amo Jiménez, Professor at the University of the URJC()
• Eva Primo Tárraga, Hired Professor Interim Doctor ()

Available equipment

Computing team:

• 1 x HP Z800 Workstation with Dual Intel Xeon X5670 Processor (24 Cores) with 24GB RAM and Dual NVIDIA Quadro K6000 Graphics.
• 2 HP Z820 Workstations each with dual Xeon E5-2667 v2 processors (32 cores) with 64 GB RAM and NVIDIA Quadro K6000 graphics.

Mass storage equipment:

• 1 Synology DS220j NAS with 16TB capacity.

Price Plans

Laboratory fees

Access to the service

The request for access to the service is made through the e-mail of the Laboratory Manager.