This software allows to simulate diffusion in networks in a generic and highly customizable way using different files:
Implementation of the algorithms described in Time Evolution of the Importance of Nodes in dynamic Networks, Clémence Magnien and Fabien Tarissan, In proceedings of the International Symposium on Foundations and Applications of Big Data Analytics (FAB), in conjunction with ASONAM, 2015.
Many developments have been made on link streams during and after the completion of the CODDDE project. Please visit the page below for an up-to-date version of all codes related to link streams and stream graphs, and the github repository for the python library deelopped after the end of the project.
Maximilien Danisch has been strongly involved in the CODDDE project. He developed most of the ego-centered approaches and several other CODDDE-related solutions. Please visit his web page for an up-to-date version of all codes related to ego-centered communities, and his github repository for more graph related softwares.
Many more programs associated to papers submitted during the completion of the CODDDE project have been developped. However these software are generally research oriented and cannot be distributed as is. However you can contact us if you feel like something might be useful.