Category Archives: News

CNetS research featured on PBS

In the groundbreaking new PBS series “NetWorld,” Niall Ferguson visits network theorists, social scientists and data analysts (including at CNetS!) to explore the intersection of social media, technology and the spread of cultural movements. Reviewing classic experiments and cutting-edge research, NetWorld demonstrates how human behavior, disruptive technology and profit can energize ideas and communication, ultimately changing the world.

New texbook from CNetS

The book A First Course in Network Science by CNetS faculty members Filippo Menczer and Santo Fortunato and CNetS PhD graduate Clayton A. Davis was recently published by Cambridge University Press. This textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Extensive tutorials, datasets, and homework problems provide plenty of hands-on practice. The book has been endorsed as “Rigorous” (Alessandro Vespignani), “comprehensive… indispensable” (Olaf Sporns), “with remarkable clarity and insight” (Brian Uzzi), “accessible” (Albert-László Barabási), “amazing… extraordinary” (Alex Arenas), and “sophisticated yet introductory… an excellent introduction that is also eminently practical” (Stephen Borgatti). It was ranked by Amazon #1 among new releases in physics. More…

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 …


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.

Continue reading DREAM Challenge paper published in Nature Methods

New $6 million center will investigate media and technology in society

Indiana University will establish a $6 million research center to study the role of media and technology in society. With leadership by CNetS faculty, the Observatory on Social Media will investigate how information and misinformation spread online. It will also provide students, journalists and citizens with resources, data and training to identify and counter attempts to intentionally manipulate public opinion. Major support for the center comes from the  John S. and James L. Knight Foundation, which will contribute $3 million, as well as funds from the university. The center is a collaboration between the IU School of Informatics, Computing and Engineering, The Media School and the IU Network Science Institute. More…

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.