Arash Badie-Modiri’s website¶
Hi, I’m Arash Badie-Modiri. I’m a Doctor of Science in Technology (DSc. Tech.) candidate at Aalto University. I study complex systems: systems composed of a large number of components that interact with each other, such as neurons in a human brain, people in a social network or buses in a public transport network. These systems show complex behaviour that emerges only when many of these components interact with each other.
Recently, I have been working on understanding systems that evolve through time (temporal networks) and how an effect (such as a communicable disease or a meme) spreads in a system.
I have also been developing scientific software for network scientists like me. Reticula, empowers researchers to effieciently study properties of static networks, hypergraphs and temporal networks using Python or C++.
My most recent blog posts¶
For the past few years, I have been studying properties of temporal networks and how certain inhomogeneities affect the nature and extent of connectivity in them. The most straightforward avenue of attacking this problem is to construct a random temporal network using a generative model that includes the desired spatial or temporal property, for example burstiness or degree inhomogeneity, and comparing the connectivity to temporal networks generated through methods that don’t include that property. In this post I’ll go through my current go-to family of models, link-activation temporal networks, as well as how you can use them in the Reticula network analysis library.