Mikko Kivelä
Department of Computer Science

Mikko Kivelä

Assistant Professor

Contact information

Postal address
Aalto SCI Computer Science Konemiehentie 2
Mobile phone
Full researcher profile


I am a network scientist working as an assistant professor at the Aalto University, where I also obtained my doctoral degree. Before coming back to Aalto I was a postdoctoral scholar at the Mathematical Institute at the University of Oxford.

My research area is the relatively new field of network science (or complex networks). This means that I'm interested in complex systems with a large number of elements that are interacting with each other in some non-trivial way and possibly leading to some emergent phenomena. Social systems are a good example: they consist of multiple elements (people) that are interacting with each other (social relationships) and lead to some very complex emergent behaviour (social groups, societies, conflicts, etc.). Other such complex systems include transportation systems, gene-regulatory systems in cells, ecological systems and many more. I see all of these systems as networks that can be studied with the similar sets of tools and theories.

All of the above-mentioned systems, and many others, have been studied extensively using networks where the nodes (people, cities, genes, ...) are either connected by a pairwise link or not (friendship, road, regulatory relationship). This approach has been extremely successful. However, this abstraction discards a lot of important information about the system. For example, social networks have multiple types of relationships of varying strengths and they are inherently dynamic. Including such information greatly increases our understanding of these systems and processes on them, for example, how disease spreads on social networks. These types of more realistic networks are the focus point of my research.

Areas of expertise

Social networks Complex systems network science

Research groups

Professorship Kivelä M., Assistant Professor


Department of Computer Science, Professorship Kivelä M., Professorship Saramäki J.

Mapping temporal-network percolation to weighted, static event graphs

Publishing year: 2018 Scientific Reports
Department of Computer Science, Professorship Kaski K., Professorship Kivelä M.

Stochastic block model reveals maps of citation patterns and their evolution in time

Publishing year: 2018 Journal of Informetrics
Department of Computer Science, Professorship Kivelä M.

Dynamics of investor spanning trees around dot-com bubble

Publishing year: 2018 PloS one
Department of Computer Science, Professorship Kivelä M.

Isomorphisms in Multilayer Networks

Publishing year: 2017 IEEE Transactions on Network Science and Engineering
Department of Computer Science

EDENetworks: A user-friendly software to build and analyse networks in biogeography, ecology and population genetics

BECS, Department of Computer Science

Multiscale analysis of spreading in a large communication network

Publishing year: 2012 Journal of Statistical Mechanics: Theory and Experiment

Weighted and temporal networks: Towards more realistic representations of complex systems

Publishing year: 2012
Department of Neuroscience and Biomedical Engineering, Department of Computer Science

Networks of Emotion Concepts

Publishing year: 2012 PloS one
BECS, Department of Computer Science

Small but slow world: how network topology and burstiness slow down spreading

Publishing year: 2011 Physical Review E
BECS, Department of Computer Science

Using explosive percolation in analysis of real-world networks

Publishing year: 2011 Physical Review E