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Letizia Milli
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2022
V. Pansanella
,
Rossetti, G.
, and
Milli, L.
,
“
From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model
”
, in
Complex Networks & Their Applications X
, 2022.
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2021
G. Rossetti
,
Citraro, S.
, and
Milli, L.
,
“
Conformity: a Path-Aware Homophily measure for Node-Attributed Networks
”
,
IEEE Intelligent SystemsIEEE Intelligent Systems
, pp. 1 - 1, 2021.
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2020
G. Rossetti
,
Citraro, S.
, and
Milli, L.
,
“
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks
”
,
arXiv preprint arXiv:2012.05195
, 2020.
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C. Toccaceli
,
Milli, L.
, and
Rossetti, G.
,
“
Opinion Dynamic Modeling of Fake News Perception
”
, in
International Conference on Complex Networks and Their Applications
, 2020.
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G. Rossetti
,
Milli, L.
,
Citraro, S.
, and
Morini, V.
,
“
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
”
,
arXiv preprint arXiv:2011.05606
, 2020.
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2019
G. Rossetti
,
Milli, L.
, and
Cazabet, R.
,
“
CDLIB: a python library to extract, compare and evaluate communities from complex networks
”
,
Applied Network Science
, vol. 4, p. 52, 2019.
DOI
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L. Milli
and
Rossetti, G.
,
“
Community-Aware Content Diffusion: Embeddednes and Permeability
”
, in
International Conference on Complex Networks and Their Applications
, 2019.
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2018
L. Milli
,
Rossetti, G.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Active and passive diffusion processes in complex networks
”
,
Applied network science
, vol. 3, p. 42, 2018.
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L. Milli
,
Rossetti, G.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
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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G. Rossetti
,
Milli, L.
,
Rinzivillo, S.
,
Sirbu, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
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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2017
G. Rossetti
,
Milli, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Forecasting success via early adoptions analysis: A data-driven study
”
,
PloS one
, vol. 12, p. e0189096, 2017.
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L. Milli
,
Rossetti, G.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Information diffusion in complex networks: The active/passive conundrum
”
, in
International Workshop on Complex Networks and their Applications
, 2017.
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G. Rossetti
,
Milli, L.
,
Rinzivillo, S.
,
Sirbu, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
NDlib: a python library to model and analyze diffusion processes over complex networks
”
,
International Journal of Data Science and Analytics
, pp. 1–19, 2017.
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G. Rossetti
,
Milli, L.
,
Rinzivillo, S.
,
Sirbu, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
NDlib: Studying Network Diffusion Dynamics
”
, in
IEEE International Conference on Data Science and Advanced Analytics, DSA
, Tokyo, 2017.
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2015
L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Pedreschi, D.
,
Giannotti, F.
, and
Sebastiani, F.
,
“
Quantification in Social Networks
”
, in
International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015)
, Paris, France, 2015.
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2014
B. Furletti
,
Gabrielli, L.
,
Giannotti, F.
,
Milli, L.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach
”
, in
47th SIS Scientific Meeting of the Italian Statistica Society
, Cagliari , 2014.
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2013
L. Milli
,
Monreale, A.
,
Rossetti, G.
,
Giannotti, F.
,
Pedreschi, D.
, and
Sebastiani, F.
,
“
Quantification Trees
”
, in
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013
, 2013, pp. 528–536.
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