I am an interdisciplinary researcher in Computer Science and Linguistics and a double degree PhD candidate at the University of Eastern Finland and Linnaeus University in Sweden. My research is primarily focused on machine learning, network analysis, and natural language processing, with a special emphasis on deep neural networks, clustering, and modeling large-scale social networks. Trying to leverage advanced machine learning techniques to unravel the complex interactions within these networks.
Research groups
Publications
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Testing the weak-tie hypothesis with social media
Laitinen, Mikko; Fatemi, Masoud. Teoksessa: Poudat, Céline; Guernut, Mathilde(toim.) , 2024. Proceedings of the 11th Conference on computer-mediated communication and social media corpora. s. 46-51. D3 Professional conference proceedings -
Using social-media-network ties for predicting intended protest participation in Russia
Kopacheva, Elizaveta; Fatemi, Masoud; Kucher, Kostiantyn. 2023. Online social networks and media. 37-38: . 100273 A1 Journal article (refereed), original research -
Big and rich social networks in computational sociolinguistics
Laitinen, Mikko; Fatemi, Masoud. Teoksessa: Rautionaho, Paula; Parviainen, Hanna; Kaunisto, Mark; Nurmi, Arja(toim.) , 2022. Social and Regional Variation in World Englishes : Local and Global Perspectives. s. 166-190. Routledge A3 Book section, Chapters in research books -
Self-Similarity of Twitter Users
Fatemi, Masoud; Kucher, Kostiantyn; Laitinen, Mikko; Franti, Pasi. Teoksessa: Kucher, Kostiantyn(toim.) , 2021. Proceedings of the 2021 Swedish Workshop on Data Science (SweDS). s. 1-7. IEEE A4 Conference proceedings -
Size matters: Digital social networks and language change
Laitinen, Mikko; Fatemi, Masoud; Lundberg, Jonas. 2020. Frontiers in artificial intelligence and applications. 3: 46 A1 Journal article (refereed), original research