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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20231029T030000
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UID:calendar.26184.field_data.0@www.diag.uniroma1.it
DTSTAMP:20240417T160505Z
CREATED:20230706T163658Z
DESCRIPTION:Speaker: Federica BacciniWhen: 10 Luglio 2023Where: Aula Magna
- DIAGTitle: Analysis of multiple relations in multilayer and higher-order
networksAbstract: This seminar focuses on the extension of the paradigm o
f classical networks following two main directions: (i) modelling multiple
types of interactions among the entities in a system\; (ii) modelling hig
her-order interactions\, i.e. simultaneous interactions among more than tw
o entities. Concerning (i)\, I will present“Similarity Matrix Average” (SM
A)\, a new network integration method that collapses a multiplex similarit
y network into a single layer (monoplex) in an informative manner. In part
icular\, I will focus on the advantages brought by SMA with respect to the
widely adopted Similarity Network Fusion (SNF)\, and briefly discuss the
results obtained with both methods when integrating a real-world multiplex
network of cell phenotypes. Regarding (ii)\, I will discuss the use of we
ighted simplicial complexes to model higher-order interactions. The questi
on here is whether weighted simplicial complexes allow to reconstruct all
the information about the higher-order interactions of a system. The probl
em is addressed by introducing a specific topological weight assignment to
the simplices of a simplicial complex\, so that the original information
about the higher-order interactions can be fully recovered. In addition\,
the proposed weight assignment allows to define a normalized Hodge Laplaci
an\, thus permitting to compare diffusion properties of the network at dif
ferent simplex orders. As an application\, I will talk about a possible wa
y of representing higher-order scientific collaborations as weighted simpl
icial complexes.Short Bio: Federica Baccini holds a PhD in Computer Scienc
e from the University of Pisa\, where she has been working under the joint
supervision of Prof. Monica Bianchini\, from the Department of Informati
on Engineering and Mathematics of the University of Siena\, and Dr. Filipp
o Geraci\, from the Institute of Informatics and Telematics of CNR\, Pisa
. During her PhD\, she spent six months as a visiting PhD student at Quee
n Mary University of London\, supervised by prof. Ginestra Bianconi. Prior
to that\, she got her Master’s degree in Applied Mathematics at the Univ
ersity of Siena (summa cum laude)\, defending a thesis with title Network
analysis for the Integration of histone modification data to explain haem
atopoiesis. Her research interests mainly focus on the analysis of multil
ayer and higher-order networks\, with emphasis on their interdisciplinary
applications. In particular\, most of her work has been concentrated on h
ow to integrate data using multiplex similarity networks and on how to mo
del higher-order relations using weighted simplicial complexes. She is au
thor of articles published in Physical Review E\, Journal of Informetrics
and Mathematics.
DTSTART;TZID=Europe/Paris:20230710T140000
DTEND;TZID=Europe/Paris:20230710T140000
LAST-MODIFIED:20230707T073346Z
LOCATION:Aula Magna
SUMMARY:Seminario pubblico di Federica Baccini (Procedura valutativa per n.
1 posto di Ricercatore a tempo determinato tipologia A - SC 09/H1 SSD ING
-INF/05) - Federica Baccini
URL;TYPE=URI:https://www.diag.uniroma1.it/node/26184
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