Mikko Kivelä
Institutionen för datateknik

Mikko Kivelä

Assistant Professor

Kontakt information

Postadress
Aalto SCI Computer Science Konemiehentie 2
Mobile phone
+358503824555
Full researcher profile
https://research.aalto.fi/...

Beskrivning

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.

Forskargrupper

Professorship Kivelä M., Assistant Professor

Publikationer

Institutionen för datateknik, Professorship Kivelä M., Professorship Saramäki J.

Mapping temporal-network percolation to weighted, static event graphs

Publishing year: 2018 Scientific Reports
Institutionen för datateknik, 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
Institutionen för datateknik, Professorship Kivelä M.

Dynamics of investor spanning trees around dot-com bubble

Publishing year: 2018 PloS one
Institutionen för datateknik, Professorship Kivelä M.

Isomorphisms in Multilayer Networks

Publishing year: 2017 IEEE Transactions on Network Science and Engineering
Institutionen för datateknik

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

Publishing year: 2015 MOLECULAR ECOLOGY RESOURCES
BECS, Institutionen för datateknik

Multiscale analysis of spreading in a large communication network

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

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

Publishing year: 2012
Institutionen för neurovetenskap och medicinsk teknik, Institutionen för datateknik

Networks of Emotion Concepts

Publishing year: 2012 PloS one
BECS, Institutionen för datateknik

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

Publishing year: 2011 Physical Review E
BECS, Institutionen för datateknik

Using explosive percolation in analysis of real-world networks

Publishing year: 2011 Physical Review E