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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@oba.diag.uniroma1.it
DTSTAMP:20260404T235303Z
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:http://oba.diag.uniroma1.it/node/26184
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