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.
When: April 03, 2023 12pm EST
Where: Luddy Center for Artificial Intelligence (LU2005)
Speaker: Ankur Mani
Title: Investigating Churn in Online Wellness Programs: Evidence from a U.S. Online Social Network
Online wellness activity platforms increasingly utilize wellness programs and social support to motivate healthy activities and improve user engagement. However, many wellness programs suffer from high churn rates that discount their expected efficacy, and negative social influence may lead to a churn contagion that amplifies the churn speed and scale. Hence, a need arises to understand why users churn wellness programs and how social contagion contributes to the churns. Leveraging the exercise challenge setting, the exercise data, and a large social network on a renowned U.S. online fitness platform, we investigate the effect of peers’ behavior in exercise challenge churn on ego. To achieve the research goal, we employ an instrumental variable framework (shown in the figure below), using the exogenous variation of peers’ weather in locations that differ from the ego’s location as instruments. The framework untangles the endogeneity of the estimated effect using variations created by peers’ weather as a shock to the ego’s churn. We measure churn as a decision an ego makes after being inactive for one to two weeks and define peers as the ones an ego follows on the platform. We find that exercise challenge churn is socially contagious and demonstrates a complex contagion. Interestingly, our analyses reveal that the social contagion of churn diffuses from the sub-central or peripheral egos with fewer friends in the social network to central egos with more friends in the social network. Such churn contagion is mostly confined to low-density network communities with members who are poorly connected. Our findings have important implications for designing intervention plans to stop online wellness program churn based on social contagion.
This is joint work with my student Yi Zhu.
Ankur Mani is an assistant professor in the Industrial and Systems Engineering department at the University of Minnesota. He is also an affiliate of the Data Science Initiative and Control Systems and Dynamics Group at the University of Minnesota. He received his Ph.D. from the Massachusetts Institute of Technology and B.Tech. degree from the Indian Institute of Technology, Delhi. Ankur’s research interests include networks, distributed experimentation, and game theory with applications in social networks, supply chain networks, transportation networks and health care. His research has been published in major journals including Management Science and Nature Human Behavior among others and has received recognitions from the INFORMS revenue management section, INFORMS aviation section, and POMS, among others.
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.
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
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!
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 …
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!