Dr Carlos Gershenson, Prof Muaz Niazi
Multidisciplinary applications of Complex Networks Modeling, Simulation, Visualization & Analysis
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Citation: Complex Adaptive Systems Modeling 2013 1:17
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Large-scale global optimization through consensus of opinions over complex networks
Large-scale optimization tasks have many applications in science and engineering. There are many algorithms to perform such optimization tasks. In this manuscript, we aim at using consensus in multi-agent syst...
Citation: Complex Adaptive Systems Modeling 2013 1:11 -
Information and phase transitions in socio-economic systems
We examine the role of information-based measures in detecting and analysing phase transitions. We contend that phase transitions have a general character, visible in transitions in systems as diverse as class...
Citation: Complex Adaptive Systems Modeling 2013 1:9 -
Information theoretical methods for complex network structure reconstruction
Complex networks seem to be ubiquitous objects in contemporary research, both in the natural and social sciences. An important area of research regarding the applicability and modeling of graph- theoretical-or...
Citation: Complex Adaptive Systems Modeling 2013 1:8 -
Penetration capacity of the wood-decay fungus Physisporinus vitreus
Bioincising is a biotechnological process for improving the permeability of refractory wood such as Norway spruce heartwood using the wood-decay fungus Physisporinus vitreus. The degradation of the bordered pit m...
Citation: Complex Adaptive Systems Modeling 2013 1:6 -
Clustering datasets by complex networks analysis
This paper proposes a method based on complex networks analysis, devised to perform clustering on multidimensional datasets. In particular, the method maps the elements of the dataset in hand to a weighted net...
Citation: Complex Adaptive Systems Modeling 2013 1:5 -
Segregation mechanisms of tissue cells: from experimental data to models
Considerable advance has been made in recent years in the research field of pattern formation by segregation of tissue cells. Research has become more quantitative partly due to more in-depth analysis of exper...
Citation: Complex Adaptive Systems Modeling 2013 1:4 -
PyCX: a Python-based simulation code repository for complex systems education
We introduce PyCX, an online repository of simple, crude, easy-to-understand sample codes for various complex systems simulation, including iterative maps, cellular automata, dynamical networks and agent-based...
Citation: Complex Adaptive Systems Modeling 2013 1:2