Department of Computer Science

Complex Systems

Network science, stochastic processes and nonlinear dynamics.
Complex networks, illustration Matti Ahlgren Aalto University

The Complex Systems research area studies diverse systems from social networks to the human brain and from cities to the human immune system, applying the tools of network science, stochastic processes, and nonlinear dynamics.

Brain & Mind Computational Seminar

Artificial intelligence, neuroscience, human behavior, and digital humanities.

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Banner with an illustration of three happy neurons.
Illustration with the Twitter logo and social networks

Bots were not very active on Twitter during the Finnish municipal elections 

The number of Twitter bots and their influence on the Finnish municipal elections remained low. The final report of ELEBOT project provided new information especially on technical limitations in identifying bots.

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Jari Saramäki standing inside the Department of Computer Science.

Professor Jari Saramäki was granted funding from The Strategic Research Council (SRC)

Academy of Finland’s SRC provides funding for long-term research aimed at identifying solutions to major societal challenges.

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Nainen seisoo ja katsoo sivulle hymyillen kädet puuskassa. Hänellä on päällään musta paita ja sininen huivi ja aurinko värjää taustaa vaaleaksi.

Maarit Korpi-Lagg turned her childhood hobbies into a living

As a child, Maarit Korpi-Lagg was interested in the stars and coding, and now she researches the activity of the sun, which could not be done without computer science

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Kuvituskuva, jossa taustalla kartta ja kännykänmuotoisia symboleja

International group of researchers: Mobile phone data should be utilized more to curb the corona pandemic

These types of data could help to curb the spread of the pandemic and to evaluate the effectiveness of restrictions

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Silja Sormunen standing on a forest path in Otaniemi

'Mathematics is a bridge between different disciplines'

Psychology, medicine and philosophy are some of the subjects that Silja Sormunen has studied. That is why Complex Systems, part of Life Science Technologies programme, felt like just the thing she had been looking for. She is also in the Doctoral Track programme.

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Illustration of digital pandemic tracing networks

Digital tracing apps should incorporate social connections to mitigate disease outbreaks

Digital tracing models could benefit from a closer look at social connections between app-users.

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Related research groups

Latest publications

Public Health Impact of Paxlovid as Treatment for COVID-19, United States

Yuan Bai, Zhanwei Du, Lin Wang, Eric H.Y. Lau, Isaac Chun Hai Fung, Petter Holme, Benjamin J. Cowling, Alison P. Galvani, Robert M. Krug, Lauren Ancel Meyers 2024 Emerging Infectious Diseases

Epidemic criticality in temporal networks

Chao Ran Cai, Yuan Yuan Nie, Petter Holme 2024 PHYSICAL REVIEW RESEARCH

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 spindle approximation of network epidemiological modeling

Jianhong Mou, Bitao Dai, Suoyi Tan, Petter Holme, Sune Lehmann, Fredrik Liljeros, Xin Lu 2024 New Journal of Physics

Distinguishing subsampled power laws from other heavy-tailed distributions

Silja Sormunen, Lasse Leskelä, Jari Saramäki 2024 Physical Review E

Neuroscience meets behavior : A systematic literature review on magnetic resonance imaging of the brain combined with real-world digital phenotyping

Ana María Triana, Jari Saramäki, Enrico Glerean, Nicholas Mark Edward Alexander Hayward 2024 Human Brain Mapping

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

Influence maximization on temporal networks : a review

Eric Yanchenko, Tsuyoshi Murata, Petter Holme 2024 Applied Network 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
More information on our research in the Aalto research portal.
Research portal
PML research gropu at department of computer science, photo Matti Ahlgren

Research in Computer Science

Research in the Department of Computer Science

Department of Computer Science
Artistic depiction of a bright light in space / made by Ray Scipak

School of Science

Science for tomorrow’s technology, innovations and businesses

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