CNetS faculty Filippo Radicchi and Santo Fortunato, along with graduate students Siddharth Patwardhan and Varun Rao, have found that, in order to limit the spreading of epidemics, it is advantageous to act on the composition of social groups. Specifically, since contact networks consists of different levels (school, work, family, etc.), groups of individuals should be highly overlapping between layers to slow down the progression of the disease. The results of the theoretical analysis, carried out on artificial networks, were supported by using enrollment and residence data of students of Indiana University. The paper has just been published in Physical Review X and the American Physical Society has highlighted it with a feature in Physics. See also Luddy’s press release.
We’re excited to announce that researchers at the Observatory on Social Media, the IU Network Science Institute, and the Center for Complex Networks and Systems Research will present 57 papers at various conferences over the summer.
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!
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.
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!
Santo Fortunato is the 21st recipient of the Zachary’s Karate Club Award, for being the first to mention the famous social network at NetSci 2022, during the satellite workshop Communities in Networks. Fortunato received the singular trophy from Jesus Arroyo Relion. He is the third member of CNetS to receive this award, after YY Ahn and Filippo Radicchi.
We have two big announcements! First, CNetS (along with IUNI and OSoMe) is moving to the new Luddy Center for Artificial Intelligence. Second, we have a new tenure-track assistant professor position in Artificial Intelligence and Network Science. We welcome any candidates who study AI, complex systems, and network science (all broadly defined). Potential research areas include, but are not limited to, deep learning, graph neural networks, complex systems, complex networks, computational neuroscience, computational social science, social media analytics, agent-based models, and the impacts of AI and social media on society. We especially welcome applications from members of underrepresented groups in computing. More info and application here!
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.Continue reading New grant on AI and multilayer networks
CNetS students, postdocs, and faculty members will give 7 regular talks and present 13 posters at NetSci 2020, held online this year due to COVID-19. Regular talks will cover research on many topics including COVID-19, forecasting social contagion of anti-vax ideas, political bias in social media, coordinated manipulation online, the scientific development of nations, hierarchy in faculty hiring networks, and citation cartels in journals.Continue reading CNetS @ NetSci 2020