Milli Letizia
Letizia Milli holds Master Degree in computer Science from the University of Pisa, Italy graduated magna cum laude (110/110 cum laude) in 2013. She received in 2018 the PhD in Computer Science from the University of Pisa with a thesis on the study of spreading phenomena over complex networks.
She is currently a an Assistant Professor at the Computer Science Department of the University of Pisa. I am a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group that connects the Computer Science Dept. of the University of Pisa, CNR-ISTI the Information Science and Technology Institute of the Italian National Research Council, and SNS, the Scuola Normale Superiore.
Her research interests include data mining, quantification, diffusion of phenomena and innovation in complex networks and the Science of Success.
Topics:
Spreading, Diffusion and Innovation
Complex Network
Quantification
Science of Success
June 2013 visiting scientist at University of New Brunswick, Fredericton, Canada, in the laboratory ``People in Motion Lab'' of the Dr. Monica Wachowicz.
Member of Local Organizing Commitee of the XIII AI*IA Symposium on Artificial Intelligence, Pisa, 10-12 December 2014
Program Committees Member del 2nd International Workshop on Dynamics in Networks (DyNo) 2016 a ASONAM, San Francisco, CA, 25-28 Agosto 2016
Program Committees Member della Special Track on Data analysis and Social Mining for the Interconnected Society a GOODTECHS 2017, Pisa, Italia, 29-30 Novembre 2017
Program Committees Member di DATA ANALYTICS 2017, The Sixth International Conference on Data Analytics, Barcellona, Spagna, 12- 16 Novembre 2017
Program Committees Chair del 3rd International Workshop on Dynamics in Networks (DyNo) a PKDD 2017, Skopje, Macedonia, 18-22 Settembre 2017
Program Committees Member di DataMod 2018, The 7th International Symposium “From Data to Models and Back (DataMod)”, 25-26 June 2018 in Toulouse (France)
PC Chair del 3rd International Workshop on Dynamics in Networks (DyNo) a PKDD 2017, Skopje, Macedonia, 18-22 Settembre 2017 http://kdd. isti.cnr.it/dyno/?q=node/4
PC Chair del 4th International Workshop on Dynamics in Networks (DyNo) a ASONAM 2018, Barcellona, Spagna, 28 Agosto 2018 http://dyno. sci-web.net/
PC Member di DATA ANALYTICS 2018, The Seventh International Con- ference on Data Analytics, Atene, Grecia, 18- 22 Novembre 2018 http: //www.iaria.org/conferences2018/ComDATAANALYTICS18.html
PC Member di NetSciX 2019, The International Conference on Network Science, 3-5 January 2019 in Santiago (Chile) http://netscix.net/index. html
PC Member di DATA ANALYTICS 2019, The Eighth International Confer- ence on Data Analytics, Porto, Portogallo, 22- 26 Settembre 2019 ttps: //www.iaria.org/conferences2019/DATAANALYTICS19.html
2018: PhD in Computer Science at University of Pisa
2013: Master Degree in computer Science at University of Pisa with 110/110 cum laude
2010: Bachelor Degree in Math at University of Pisa
- Position
- Research Fellow
- Affiliation
- Department of Computer Science, University of Pisa (DI-UNIPI)
- Room
- 291
- Floor
- 2
- Gate
- 20
- Phone
- 050 2213127
- Homepage
- Google Scholar
- Letizia Milli on Google Scholar
- DBLP
- Letizia Milli on DBLP
Projects
Publications
2022
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, “From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model”, in Complex Networks & Their Applications X, 2022.
2021
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, “Conformity: a Path-Aware Homophily measure for Node-Attributed Networks”, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
2020
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, “Opinion Dynamic Modeling of Fake News Perception”, in International Conference on Complex Networks and Their Applications, 2020.
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, “Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks”, arXiv preprint arXiv:2012.05195, 2020.
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, “UTLDR: an agent-based framework for modeling infectious diseases and public interventions”, arXiv preprint arXiv:2011.05606, 2020.
2019
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, “Community-Aware Content Diffusion: Embeddednes and Permeability”, in International Conference on Complex Networks and Their Applications, 2019.
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, “CDLIB: a python library to extract, compare and evaluate communities from complex networks”, Applied Network Science, vol. 4, p. 52, 2019.
2018
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, “Diffusive Phenomena in Dynamic Networks: a data-driven study”, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.
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, “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, vol. 5, pp. 61–79, 2018.
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, “Active and passive diffusion processes in complex networks”, Applied network science, vol. 3, p. 42, 2018.
