Research output per year
Research output per year
Organisation profile
Organisation profile
Complex Systems
Department of Computer Science Research area
Network science, stochastic processes and nonlinear dynamics.
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.
Research area webpage: https://www.aalto.fi/en/department-of-computer-science/complex-systems-0
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Corinna Coupette
- Department of Computer Science - Assistant Professor
- Computer Science Professors - Assistant Professor
- Computer Science - Algorithms and Theoretical Computer Science (TCS) - Research area - Assistant Professor
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area - Assistant Professor
- Computer Science - Complex Systems (Cxsys) - Research area - Assistant Professor
- Computer Science - Digital Ethics, Society and Policy (Digital-ESP) - Research area - Assistant Professor
Person: Professors, tenure track
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Petter Holme
- Department of Computer Science - Professor
- Professorship Holme Petter - Professor
- Computer Science Professors - Professor
- Computer Science - Complex Systems (Cxsys) - Research area - Professor
Person: Professors, tenure track
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Barbara Keller
- Department of Computer Science - University Lecturer
- Lecturer Keller Barbara group - University Lecturer
- Computer Science Lecturers - University Lecturer
- Computer Science - Complex Systems (Cxsys) - Research area - University Lecturer
Person: Teaching staff
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Close and more distant relatives are associated with child mortality risk in historical Finland
Lahdenperä, M., Salonen, M., Hiraoka, T., Seltmann, M. W., Saramäki, J. & Lummaa, V., 20 Jan 2025, In: Evolutionary Human Sciences. 7, p. 1-18 18 p., e5.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Downloads (Pure) -
Measuring and utilizing temporal network dissimilarity
Zhan, X. X., Liu, C., Wang, Z., Wang, H., Holme, P. & Zhang, Z. K., Jan 2025, In: Communications Physics. 8, 1, p. 1-9 9 p., 40.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure) -
Navigation on temporal networks
Robledo, O. F., Holme, P. & Wang, H., Dec 2025, In: Applied Network Science. 10, 1, p. 1-13 13 p., 7.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Downloads (Pure)
Datasets
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The "Last.fm" data set used in the article "Cumulative effects of triadic closure and homophily in social networks"
Kivelä, M. (Creator), Zenodo, 25 Mar 2020
Dataset
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Polarized and nonpolarized Twitter networks from the 2019 Finnish Parliamentary Elections
Salloum, A. (Creator), Chen, T. (Creator) & Kivelä, M. (Creator), Zenodo, 12 Jan 2021
DOI: 10.5281/zenodo.4434244, https://zenodo.org/record/8434372
Dataset
Prizes
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Fellow of the Network Science Society
Holme, P. (Recipient), 1 Jul 2024
Prize: Award or honor granted for academic or artistic career
Activities
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Grant review for the Health Bureau of The Government of the Hong Kong Special Administrative Region
Saramäki, J. (Examiner)
8 May 2024Activity: Academic assessments › Evaluation of funding applications
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Assessment for full professorship, School of Physics, University of Sydney
Saramäki, J. (Examiner)
8 May 2024Activity: Academic assessments › Statement of assessment of professorship
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Evaluation of a Principal Investigator Project application for the Austrian Science Fund (FWF)
Saramäki, J. (Examiner)
24 May 2024Activity: Academic assessments › Evaluation of funding applications
Press/Media
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Matemaatikot loivat rajat ylittävän mallin epidemioiden leviämisen ennustamiseen – asettaa osan korona-rajoituksista mielenkiintoiseen valoon
Ala-Nissilä, T., Kivelä, M., Shubin, M. & Leskelä, L.
07/07/2024
1 item of Media coverage
Press/Media: Media appearance
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Maiden välisen rajaliikenteen rajoittaminen ei ollut tartuntalukujen valossa tehokas toimenpide koronaviruspandemian aikana
Ala-Nissilä, T., Kivelä, M. & Leskelä, L.
03/07/2024
1 item of Media coverage
Press/Media: Media appearance
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Tutkijat loivat ennustemallin kuvaamaan pandemian leviämistä maiden rajojen yli
Ala-Nissilä, T., Kivelä, M. & Leskelä, L.
03/07/2024
1 item of Media coverage
Press/Media: Media appearance