MOL2NET, International Conference on Multidisciplinary Sciences
E: Statistics, Artificial Intelligence, Data Science, Complex Networks Analysis
This section covers: connectivity analysis in biology, environment, epidemiological, and social networks; including the computational analysis of metabolic pathways in Metabolomics, Protein interaction networks in proteomics, food webs, and other biological-ecological networks like host-parasite, prey-hunter, etc. Geographical Information Systems (GIS), land covering networks, atmospheric reactions networks. Study of social collaboration, electronic social networks (Facebook, Twitter, etc.), disease spreading networks and epidemiology, vaccination models in epidemic networks, legal and law citing networks, networks in sociology and criminology, etc. This section covers also: technological, industrial, and economic connectivity, including the analysis of computer connectivity, Internet, wireless networks, satellite networks, electrical networks, airport and other transport networks, financial networks, trade networks, etc. In addition, we cover pure theoretical aspects in network science and data analysis theory, including but not limited to theoretical studies in network sciences, topological indices, node centrality, network robustness, multiplex networks, network attack, and new spatial statistical analysis, time series analysis, biostatistics, machine learning and big data analysis methods.