All posts by santo

Fortunato elected Fellow of the American Physical Society

Santo Fortunato has been elected Fellow of the American Physical Society (APS) for foundational contributions to the statistical physics of complex networks, and particularly to the study of community detection in networks and applications to social and scientific networks. The Fellowship is awarded annually to no more than one half of one percent of members of the APS for exceptional contributions to physics through research or publications, important applications of physics, leadership and physics education. Check the official press release of the school!

New paper in Nature Physics

In 2002 the paper Community structure in social and biological networks, by Michelle Girvan and Mark E. J. Newman, marked the beginning of network community detection, possibly the most popular topic in network science, which tackles the problem of automatically discovering communities — groups of nodes of the network that are strongly connected or that share similar features or roles.

Twenty years later, it’s time to see how the field is doing. In the Comment 20 years of network community detection, just published in Nature Physics, Santo Fortunato and Mark Newman present a brief overview of this fascinating topic and highlight future directions.

Fortunato elected Fellow of the Network Science Society

Santo Fortunato has been elected Fellow of the Network Science Society (NSS) for seminal work in network community structure leading to advances in multiresolution approaches and validation, and for contributions to disseminating network science. The Fellowship is awarded annually to members of the community for their exceptional lifelong individual contributions to any area of network science research and to the community of network scientists, both locally and globally. The award has been announced at NetSci 2022, the flagship event of the NSS. Fortunato is the first member of Luddy to receive this prestigious recognition. Check the official press release of the school!

New grant on AI and multilayer networks

The Army Research Office has awarded the grant Multilayer network embeddings and applications to real-world problems to CNetS faculty Santo Fortunato and Filippo Radicchi. The project lies at the interface between artificial intelligence and network science and aims at developing embeddings of multilayer networks in vector space. While graph embeddings have become very popular over the past decade, most of the research in this area focuses on the analysis of isolated graphs. However, networks in the real world do not exist in isolation, but they are coupled with other networks. For example in social media, the same person may interact with different individuals depending on the online platform. 

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CNetS organizing Summer Institute in Network Science

The Indiana University Network Science Institute (IUNI), jointly with the Network Science Institute at Northeastern University (NetSI) are organizing SINSA 2020, the first Summer Institute in Network Science and its Applications, a two-weeks long school divided into eight teaching modules on major topics of network science, with top instructors, intended for graduate students, practitioners and early-career researchers. Santo Fortunato, CNetS member and IUNI Director, is one of the two chairs of this event, as well as instructor of the module Network Structures. SINSA 2020 will be held in Boston, from June 22 till July 3, 2020. Send your students to this great event!

CNetS leading first international exchange program in network science

Schematic example of multilayer network

The National Science Foundation has awarded a $1.9 million grant through the new AccelNet program to the Indiana University Network Science Institute (IUNI), to build an international exchange program focused on multilayer networks. Santo Fortunato, CNetS member and IUNI Director, is the PI of this award, jointly with Alessandro Vespignani, representing the Northeastern University Network Science Institute (NetSI). The project, AccelNet-MultiNet, will establish strong collaborations with scientists of four European institutions: the University of Barcelona in Spain, the ISI Foundation in Turin, Italy, the Central European University in Budapest/Vienna, and the CNRS in Marseille, France. Over the course of five years, 20 researchers from IU and Northeastern University, mostly graduate students, will spend a semester in one of the partner institutions in Europe, and 20 researchers from those institutions will do the same in the U.S. They will work on projects of common interest within the scope of multilayer network science. Read more …

Networks2021

CNetS faculty organizing Networks 2021

The Indiana University Network Science Institute (IUNI) will be the main organizer of Networks 2021, the largest ever conference in the science of networks. This historical event will be hosted at the Hyatt Regency Washington in Capitol Hill, in Washington DC, on July 6-11, 2021. It will combine the annual meeting of the International Network for Social Network Analysis (Sunbelt XLI), and the annual meeting of the Network Science Society (NetSci 2021). CNetS faculty Santo Fortunato will be one of the two chairs of the conference. Other CNetS faculty will be also actively involved in the organization. Save the date for this great event!

DREAM Challenge paper published in Nature Methods

DREAM Challenge
Structure of the Disease Module Identification DREAM Challenge

The outcome of the DREAM Challenge on Disease Module Identification in genetic networks has been reported in a paper published in Nature Methods. Over 400 participants from all around the world have contributed 75 different clustering algorithms to predict disease-relevant modules in diverse gene and protein networks. Participants could only use unsupervised clustering algorithms, which rely exclusively on the network structure and do not depend on additional biological information such as known disease genes. CNetS professor Santo Fortunato and former postdoc Lucas Jeub participated in the analysis of the results delivered by the algorithms.

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CNetS faculty lead two prestigious DoD Minerva projects on the science of science

santo fortunato
yy ahn
stasa milojevic
alessandro flammini
Fil Menczer

Two CNetS teams were awarded prestigious awards from Minerva, a research initiative of the Department of Defense that supports basic social science research focusing on topics of particular relevance to U.S. national security. One of the two awards will develop Science Genome, a new quantitative framework to investigate science of science using representation learning and graph embedding. The $4.4M project will take advantage of the availability of digitized bibliographic data sets and powerful computational methods, such as machine learning with deep neural networks, to tap into hidden information present in complex scholarly graphs. The project is led by YY Ahn and also includes Staša Milojević, Alessandro Flammini, and Fil Menczer (more…). The other award aims to understand the fundamental laws ruling science dynamics: the description and prediction of the evolution of scientific fields, how to define and measure the novelty of a scientific work, how to assemble successful teams to solve a specific task, and how to define and measure the impact of scholars’ research. The $5M project is led by a consortium of seven prominent science of science experts in four US institutions, including CNetS professor Santo Fortunato (more…). Both projects have potential applications in policy-making, for institutions and funding agencies.