ISI is restructuring its organization chart, for such reason some information is not available at the moment.
Algebraic geometryBioinformaticsCitation AnalysisCitationsClusteringCollaboration NetworksComplex SystemsComplexity in MaterialsComputational BiologyComputational Systems BiologyConsensusContact NetworksDiffusion Limited AggregationDigital EpidemiologyElectionsFoundations of Statistical MechanicsGeneral PhysicsInfectious diseasesInformation DynamicsInformation NetworksInternet TrafficLanguage DynamicsMass SpectroscopyMathematics of complex systemsMobilityNetwork ScienceOptimizationPhylogenyQuantum complex networksQuantum InformationQuantum OpticsRandom DiffusionRepresentation theoryScience of ScienceSocial DynamicsSocial SystemsStatistical Physics and Computational Systems BiologyStructure DetectionSymmetriesTensor Network StatesTopologyTransportUniversality
Algorithmic Data AnalyticsALL ProjectApplied Data ScienceCitizen Science & Smart CitiesCollective Phenomena in Physics & Materials ScienceComputational and Digital EpidemiologyComputational Social ScienceData ScienceData Science for Social ImpactFAI LabLagrange ProjectMachine LearningMathematics & Foundation of Complex SystemsQuantum Science & Mathematics of Networks
Results in Statistical Physics and Computational Systems Biology
Data Interfaces aims to experiment with the development of interfaces and formats for data rich scenarios by merging the competences of communication design, complex systems science, and computer science.
Wednesday, May 29, 2013
This fourth and last project meeting is not only the usual check point of the activities of the project within the consortium but also, more importantly, as a moment to assess the final integration effort and joint research among the partners and among the Work Packages, in preparation for the last review meeting. The meeting will allow, as the previous years, all partners to provide a summary of the activities undertaken and the progress of the research activities.
Monday, April 7, 2014
The school will introduce the concepts and tools of graph theory, statistical physics, statistical analysis,modeling, and visualization used in the field of complex networks. The lectures will start from the introduction of concepts of graph theory and of how to statistically characterize and model the structure of large-scale networks.
A discrete model of water with two distinct glassy phases
Aligning graphs and finding substructures by message passing
Computational modeling of phosphotransfer complexes in two-component signaling
Inference of direct residue contacts in two-component signaling
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Data reliability in complex directed networks
Physics peeks into the ballot box
Stationary growth and unique invariant harmonic measure of cylindrical DLA
Activity clocks: spreading dynamics on temporal networks of human contact
Modeling the emergence of universality in color naming patterns
Statistical physics of social dynamics
