Mikko Kivelä

Assistant Professor
Assistant Professor
T313 Dept. Computer Science

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.

Full researcher profile
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Areas of expertise

Social networks, Complex systems, network science

Research groups

  • Computer Science Professors, Academy Research Fellow
  • Computer Science - Complex Systems (Cxsys), Academy Research Fellow
  • Professorship Kivelä Mikko, Academy Research Fellow


Effectiveness of contact tracing on networks with cliques

Abbas K. Rizi, Leah Keating, James P. Gleeson, David O'Sullivan, Mikko Kivelä 2024 Physical Review E

The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter

Yan Xia, Antti Gronow, Arttu Malkamäki, Tuomas Ylä-Anttila, Barbara Keller, Mikko Kivelä 2024 EPJ Data Science

Reticula: A temporal network and hypergraph analysis software package

Arash Badie-Modiri, Mikko Kivelä 2023 SoftwareX

Investor trade allocation patterns in stock markets

Kęstutis Baltakys, Juho Kanniainen, Jari Saramäki, Mikko Kivelä 2023 Journal of Economic Behavior and Organization

Estimating inter-regional mobility during disruption: Comparing and combining different data sources

Sara Heydari, Zhiren Huang, Takayuki Hiraoka, Alejandro Ponce de Leon Chavez, Tapio Ala-Nissila, Lasse Leskelä, Mikko Kivelä, Jari Saramäki 2023 Travel Behaviour and Society

The strength and weakness of disease-induced herd immunity

Takayuki Hiraoka, Abbas K. Rizi, Zahra Ghadiri, Mikko Kivelä, Jari Saramäki 2023 arXiv.org

Complex coalitions: political alliances across relational contexts

Arttu Malkamäki, Ted Hsuan Yun Chen, Antti Gronow, Mikko Kivelä, Juho Vesa, Tuomas Ylä-Anttila 2023 arXiv.org

Subnetwork enumeration algorithms for multilayer networks

Tarmo Nurmi, Mikko Kivelä 2023 arXiv.org

OVNS : Opportunistic Variable Neighborhood Search for Heaviest Subgraph Problem in Social Networks

Ville P Saarinen, Ted Hsuan Yun Chen, Mikko Kivelä 2023 arXiv.org

Weighted Temporal Event Graphs and Temporal-Network Connectivity

Jari Saramäki, Arash Badie Modiri, Abbas K. Rizi, Mikko Kivelä, Marton Karsai 2023 Temporal Network Theory