Dr Alessia Annibale Dr Alessia Annibale Academics Supervisors Reader in Disordered Systems Contact details +44 020 7848 2877 alessia.annibale@kcl.ac.uk
Connected components in networks with higher-order interactions Price of information in games of chance: A statistical physics approach Replica symmetry breaking in supervised and unsupervised Hebbian networks Dynamically selected steady states and criticality in non-reciprocal networks Clustering coefficients for networks with higher order interactions About the de Almeida-Thouless line in neural networks Variational Kinetic Clustering of Complex Networks Graphie: A network-based visual interface for the UK's primary legislation Rationalizing systematic discrepancies between election outcomes and opinion polls Dynamics of sparse Boolean networks with multi-node and self-interactions Information retrieval and structural complexity of legal trees Uncovering the non-equilibrium stationary properties in sparse Boolean networks Vaccination with partial transmission and social distancing on contact networks Exact and approximate mean first passage times on trees and other necklace structures: a local equilibrium approach Overcoming the complexity barrier of the dynamic message-passing method in networks with fat-tailed degree distributions Reproducing size distributions of swarms of barchan dunes on Mars and Earth using a mean-field model Modelling the interplay between the CD4 + /CD8 + T-cell ratio and the expression of MHC-I in tumours Maximal modularity and the optimal size of parliaments Position-Dependent Diffusion from Biased Simulations and Markov State Model Analysis A combined model of aggregation, fragmentation, and exchange processes: insights from analytical calculations Percolation on the gene regulatory network Correlation Functions, Mean First Passage Times and the Kemeny Constant Percolation in bipartite Boolean networks and its role in sustaining life Mean first passage times in variational coarse graining using Markov state models The role of the T-helper/T-suppressor ratio on the adaptive immune response: a dynamical model Limiting relaxation times from Markov state models Cell reprogramming modelled as transitions in a hierarchy of cell cycles Retrieving infinite numbers of patterns in a spin-glass model of immune networks Generating random networks and graphs Cycle Statistics in Complex Networks and Ihara’s Zeta Function Immune networks: multi-tasking capabilities near saturation The two-star model: exact solution in the sparse regime and condensation transition The role of idiotypic interactions in the adaptive immune system: A belief-propagation approach A dynamical model of the adaptive immune system: Effects of cells promiscuity, antigens and B-B interactions Controlled markovian dynamics of graphs: Unbiased generation of random graphs with prescribed topological properties Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments Tailored random graph ensembles Bridging topological and functional information in protein interaction networks by short loops profiling Extensive parallel processing on scale-free networks Associative networks with diluted patterns: dynamical analysis at low and medium load Immune networks: multi-tasking capabilities at medium load What you see is not what you get: how sampling affects macroscopic features of biological networks Fluctuation-dissipation relations in critical coarsening: crossover from unmagnetized to magnetized initial states Network resilience against intelligent attacks constrained by the degree-dependent node removal cost Protein Networks Reveal Detection Bias and Species Consistency When Analysed by Information-Theoretic Methods Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure Constrained Markovian Dynamics of Random Graphs Dynamic heterogeneities in critical coarsening: exact results for correlation and response fluctuations in finite-sized spherical models Supersymmetric quenched complexity in the Sherrington-Kirkpatrick model The role of the Becchi-Rouet-Stora-Tyutin supersymmetry in the calculation of the complexity for the Sherrington-Kirkpatrick model View all publications
5 November 2024 New framework uses games of chance to put 'price' on intangible assets The new statistical model could have major implications for how data is bought and sold