G.L. Ciampaglia, P. Shiralkar, L.M. Rocha, J. Bollen, F. Menczer, A. Flammini . “Computational fact checking from knowledge networks.” PLoS One. In Press. arXiv:1501.03471.
A. Kolchinsky, M. P. Van Den Heuvel, A. Griffa, P. Hagmann, L.M. Rocha, O. Sporns, J. Goni . “Multi-scale Integration and Predictability in Resting State Brain Activity”. Frontiers in Neuroinformatics, 8:66. doi: 10.3389/fninf.2014.00066.
The new Indiana University Network Science Institute (IUNI) unites 100+ researchers at IU — building on their world-renowned multidisciplinary expertise toward further scientific understanding of the complex networked systems of our world. Through pioneering new approaches in mapping, representing, visualizing, modeling, and analyzing diverse complex networks across levels and disciplines, IUNI will lead the way. We keep track of the big picture — ever-changing and interconnected. We’re laying the groundwork for innovative research and discovery in the area of network science.
Congratulations to Filippo Radicchi for winning the First Junior Scientific Award from the Complex Systems Society (CCS), which unveiled the winners of the first CSS scientific awards in a packed plenary session at ECCS’14 in Lucca, Italy. CSS also honored Prof. Eugene Stanley with the Senior Scientific Award, and Dr. Giovanna Miritello with a second Junior Scientific Award. Quoting the nomination:
Filippo Radicchi is among the best young researchers in complex systems and networks, with contributions that span from theoretical studies of structural and dynamical properties of networks to analyses of large-scale empirical data about human behaviour and performance.
Read our latest paper titled Social Dynamics of Science in Nature Scientific Reports. Authors Xiaoling Sun, Jasleen Kaur, Staša Milojević, Alessandro Flammini & Filippo Menczer ask, How do scientific disciplines emerge? No quantitative model to date allows us to validate competing theories on the different roles of endogenous processes, such as social collaborations, and exogenous events, such as scientific discoveries. Here we propose an agent-based model in which the evolution of disciplines is guided mainly by social interactions among agents representing scientists. Disciplines emerge from splitting and merging of social communities in a collaboration network. We find that this social model can account for a number of stylized facts about the relationships between disciplines, scholars, and publications. These results provide strong quantitative support for the key role of social interactions in shaping the dynamics of science. While several “science of science” theories exist, this is the first account for the emergence of disciplines that is validated on the basis of empirical data.
We are excited to welcome a new faculty member, Yong-Yeol “YY” Ahn, to our center. Prior to joining IU, YY was a postdoctoral researcher at the Center for Complex Network Research at Northeastern University and a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute, working with Albert-László Barabási. YY has a PhD in Physics from KAIST in Korea. His work explores the structure and dynamics of complex systems, spanning from molecules to society.
LaNeT-vi, a program that represents large-scale networks in two-dimensions, was used to create the cover image for the November edition of Nature Physics. The featured image highlights several nodes in the foreground that stand out from the rest of the network, highlighting the main thrust of the journal’s cover story; the most efficient spreaders in a network are not necessarily the most connected or central. Instead, efficient spreading correlates with spreader location within the core of the network as determined by the k-shell decomposition analysis.
Determining what makes an efficient spreader in a network is essential for optimizing network efficiency and the deployment of resources. As a publicly-available online tool, LaNeT-vi assists in this effort by allowing users to upload their own networks and receive original renderings of their information based on the k-core decomposition.
LaNeT-vi was developed in-house at the School of Informatics and Computing at Indiana University in collaboration with the CNRS, France and the CONICET in Argentina.
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Complex Networks and Systems Track of PhD in Informatics
The Complex Networks & Systems track of the PhD program in Informatics at Indiana University has been training a new kind of interdisciplinary scientist and professional for over a decade. With its unique interdisciplinary approach, our program offers an exciting opportunity to master the connections between theoretical, technological, biological, and social implications of complex networks and systems in a research-oriented curriculum. The program is hosted by faculty at the associated Center for Complex Networks and Systems Research (CNetS) who are investigating complex systems in action, from determining how a YouTube video goes viral, mining Instagram data for public-health monitoring, developing models to predict the spread of online misinformation, studying innovation and conflict in parliamentary documents, to understanding the neural basis of behaviors.
Our program is central in a new NSF-Funded Interdisciplinary Training Program in Complex Networks and Systems. The goal is to train students to be “bidisciplinary” in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences, via an integrated dual-PhD program. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity. For more information, including on on how to apply to this NSF-Funded program, please consult its website.
Both our stand-alone and NSF-funded dual-PhD programs capitalize on the new Indiana University Network Science Institute (IUNI) with over 150 faculty members who participate in network science and complex systems research and who can serve in interdisciplinary Ph.D. advisory committees. Indeed, the breadth and strength of research in network science and complex systems already pursued at Indiana University is unmatched by other academic programs.
The study of complex networks and systems is focused on discovering and understanding how the myriad parts of a system—social networks, the human brain, a language, a power grid, financial markets, or gene regulatory networks—interact with each other and drive the macroscopic behavior of the system. This strongly interdisciplinary field has exciting new solutions for computer science, physics, math, biology, health, and cognitive and social sciences. Our students come from around the world and have a wide variety of educational backgrounds. What they share is a desire to widen their theoretical, computational, and technical skills, and, from the earliest days of the program, to engage in research projects in the wide set of areas faculty in CNetS and IUNI lead in addressing the complex problems of the 21st century. Our students have gone on to join some of the best academic, government and research and development centers in the World, ranging from top universities to the most advanced technology companies. A description of the course structure, core faculty, syllabus of required courses, and graduation metrics is available.
For more information on the Informatics Ph.D program, and how to apply please contact firstname.lastname@example.org. For additional information about the Complex Networks & Systems Track please contact the track director Professor Luis Rocha.
CNetS Professor Alex Vespignani has been elected to fellowship in the American Physical Society, the preeminent organization of physicists in the United States. Vespignani was honored for his contribution to the statistical physics of complex networks, in particular his seminal work on the spreading of viruses in real networks. More…