129 citations · 667 across the 20 of their papers we have counts for
21 papers
Mathematical Modeling of HDV RNA, HBV DNA, and HBsAg Dynamics during Lonafarnib-Based Therapy: Insights from the LOWR HDV-1 Study
Adquate Mhlanga, Louis Shekhtman, Rami Zakh +10
Lonafarnib (LNF) is an investigational drug targeting hepatitis delta virus (HDV) but not hepatitis B virus (HBV), providing a unique opportunity to model HDV kinetics and how chan…
Modeling hepatitis D virus kinetics during bulevirtide monotherapy: challenges and solutions
Adquate Mhlanga, Louis Shekhtman, Ashish Goyal +11
The entry inhibitor Bulevirtide (BLV) was recently approved in Europe for treatment of chronic hepatitis D virus (HDV) infection, which is considered the most severe viral hepatiti…
Mapping Philanthropic Support of Science
Louis M. Shekhtman, Alexander J. Gates, Albert-László Barabási
While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that dr…
Cascading Failures in Complex Networks
Lucas D. Valdez, Louis Shekhtman, Cristian E. La Rocca +5
Cascading failure is a potentially devastating process that spreads on real-world complex networks and can impact the integrity of wide-ranging infrastructures, natural systems, an…
Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
Louis M Shekhtman, Alon Sela, Shlomo Havlin
We consider the privacy of interactions between individuals in a network. For many networks, while nodes are anonymous to outside observers, the existence of a link between individ…
Predictability of real temporal networks
Disheng Tang, Wenbo Du, Louis Shekhtman +4
Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has a profound effect on network…
Efficient network immunization under limited knowledge
Yangyang Liu, Hillel Sanhedrai, GaoGao Dong +4
Targeted immunization or attacks of large-scale networks has attracted significant attention by the scientific community. However, in real-world scenarios, knowledge and observatio…
Lifetime of a greedy forager with long-range smell
Hillel Sanhedrai, Yafit Maayan, Louis Shekhtman
We study a greedy forager who consumes food throughout a region. If the forager does not eat any food for time steps it dies. We assume that the forager moves preferentially in…
Interconnections between networks act like an external field in first-order percolation transitions
Bnaya Gross, Hillel Sanhedrai, Louis Shekhtman +1
Many interdependent, real-world infrastructures involve interconnections between different communities or cities. Here we study if and how the effects of such interconnections can…
A combined network and machine learning approaches for product market forecasting
Jingfang Fan, Keren Cohen, Louis M. Shekhtman +4
Sustainable financial markets play an important role in the functioning of human society. Still, the detection and prediction of risk in financial markets remain challenging and dr…
Possible Origin of Memory in Earthquakes: Real catalogs and ETAS model
Jingfang Fan, Dong Zhou, Louis M. Shekhtman +5
Earthquakes are one of the most devastating natural disasters that plague society. A skilled, reliable earthquake forecasting remains the ultimate goal for seismologists. Using the…
Resilience of spatial networks with inter-links behaving as an external field
Jingfang Fan, Gaogao Dong, Louis M. Shekhtman +4
Many real systems such as, roads, shipping routes, and infrastructure systems can be modeled based on spatially embedded networks. The inter-links between two distant spatial netwo…
Percolation of Hierarchical Networks and Networks of Networks
Louis M. Shekhtman, Shlomo Havlin
Much work has been devoted to studying percolation of networks and interdependent networks under varying levels of failures. Researchers have considered many different realistic ne…
Resilience of networks with community structure behaves as if under an external field
Gaogao Dong, Jingfang Fan, Louis M. Shekhtman +6
Detecting and characterizing community structure plays a crucial role in the study of networked systems. However, there is still a lack of understanding of how community structure…
Critical field-exponents for secure message-passing in modular networks
Louis M. Shekhtman, Michael M. Danziger, Ivan Bonamassa +4
We study secure message-passing in the presence of multiple adversaries in modular networks. We assume a dominant fraction of nodes in each module have the same vulnerability, i.e.…
Comparing the diversity of information by word-of-mouth vs. web spread
Alon Sela, Louis Shekhtman, Shlomo Havlin +1
Many studies have explored spreading and diffusion through complex networks. The following study examines a specific case of spreading of opinions in modern society through two spr…
Debunking in a World of Tribes
Fabiana Zollo, Alessandro Bessi, Michela Del Vicario +5
Recently a simple military exercise on the Internet was perceived as the beginning of a new civil war in the US. Social media aggregate people around common interests eliciting a c…
Resilience of Networks Formed of Interdependent Modular Networks
Louis Shekhtman, Saray Shai, Shlomo Havlin
Many infrastructure networks have a modular structure and are also interdependent. While significant research has explored the resilience of interdependent networks, there has been…
Two distinct transitions in spatially embedded multiplex networks
Michael M. Danziger, Louis M. Shekhtman, Yehiel Berezin +1
Multilayer infrastructure is often interdependent, with nodes in one layer depending on nearby nodes in another layer to function. The links in each layer are often of limited leng…
Robustness of a Network Formed of Spatially Embedded Networks
Louis M. Shekhtman, Yehiel Berezin, Michael M. Danziger +1
We present analytic and numeric results for percolation in a network formed of interdependent spatially embedded networks. We show results for a treelike and a random regular netwo…
Robustness of skeletons and salient features in networks
Louis M. Shekhtman, James P. Bagrow, Dirk Brockmann
Real world network datasets often contain a wealth of complex topological information. In the face of these data, researchers often employ methods to extract reduced networks conta…