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***** To join INSNA, visit http://www.insna.org ***** Dear colleagues, 
     a reminder about the approaching extended deadline (June 6) to submit your work to the organised session "Advances in multilayer network analysis: methods and applications” at the 5th European Conference on Social Networks (EUSN 2021), Naples, 7-10 September 2021. Theoretical, methodological, and analytical contributions concerning multilayer networks are welcome.

Please notice that the conference will be fully online.

Call for abstracts and submission link: http://www.eusn2021.unina.it/callforpapers.html 

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Matteo Magnani
Docent (Associate Professor) in Computing Science and Distinguished university teacher
Coordinator, Master’s programme in Data Science
Director, Uppsala University InfoLab (http://infolab.it.uu.se)
Department of Information Technology, Uppsala University
TW: @matmagnani @uuinfolab FB: @uuinfolab

Recent work:
- M. Magnani, L. Rossi, and D. Vega, "Analysis of Multiplex Social Networks with R,” Journal of Statistical Software 98(8), 2021. https://doi.org/10.18637/jss.v098.i08
- M. Magnani, and A. Segerberg, “On the conditions for integrating deep learning into the study of visual politics,” In 13th ACM Web Science Conference 2021 (WebSci ’21), June 21–25, 2021. https://doi.org/10.1145/ 3447535.3462511
- M. Magnani, O. Hanteer, R. Interdonato, L. Rossi, and A. Tagarelli, “Community detection in multiplex networks,” ACM Computing Surveys, vol. 54, no. 3, 2021, https://dl.acm.org/doi/10.1145/3444688
- A. Kaveh,  M. Magnani, & C. Rohner, “Defining and measuring probabilistic ego networks,” Social Network Analysis and Mining, vol. 11, no. 2, 2021, https://doi.org/10.1007/s13278-020-00708-w


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