In the first paper “Penetration capacity of the wood-decay fungus Physisporinus vitreus”, the authors Matthias Jörg Fuhr, Mark Schubert, Chris Stührk, Francis WMR Schwarze and Hans Jürg Herrmann propose the study of bioincising by means of a model considering many factors affecting the growth and effects of P. vitreus in Norway spruce (Fuhr et al. 2013).
In the next paper, “Information theoretical methods for complex network structure assessment”, the authors Enrique Hernández-Lemus and Jesús M Siqueiros-García duscuss how information theory can provide effective means for structural assessment in domains such as biological and social network analysis (Hernandez-Lemus and Siqueiros-Garcia 2013).
In the paper “Information and Phase Transitions in Socio-Economic Systems”, the authors Terry Bossomaier, Lionel Barnett and Michael Harré present an interesting study on the role of information-based measures in detecting and analysing phase transitions. They contend that phase transitions have general features and can be detected in diverse systems using information theory (Bossomaier et al. 2013).
In the next paper, “Clustering Datasets by Complex Networks Analysis” by Giuliano Armano and Marco Alberto Javarone, the authors propose a method based on complex network analysis which allows clustering on multidimensional datasets (Armano and Javarone 2013).
In the article “PyCX: a Python-based simulation code repository for complex systems education”, Hiroki Sayama introduces PyCX, an online python-based code repository of simple, crude but easy-to-understand sample codes for various complex systems simulation, including iterative maps, cellular automata, dynamical networks and agent-based models (Sayama 2013).
In the article “Segregation mechanisms of tissue cells: from experimental data to models”, Előd Méhes and Tamás Vicsek present a review of pattern formation by segregation of tissue cells. In addition, the authors present experimental observations, including some new results on various aspects of two and three dimensional segregation events and then summarize various computational modeling approaches (Méhes and Vicsek 2013).
In the final article, “Large-scale global optimization through consensus of opinions over complex networks” by Omid Askari-Sichani and Mahdi Jalili, the authors present a model based on consensus of opinions among agents interacting over a complex networked structure for a large-scale task optimization. They demonstrate how agents can solve such tasks using collaborations and forming consensus of opinions (Askari-Sichani and Jalili 2013).