activity
20122021
most citedCascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation

179 citations · 353 across the 9 of their papers we have counts for

collaborators

9 papers

q-fin.ST2021★ 9 cited

A new look at calendar anomalies: Multifractality and day of the week effect

Darko Stosic, Dusan Stosic, Irena Vodenska +2

Stock markets can become inefficient due to calendar anomalies known as day-of-the-week effect. Calendar anomalies are well-known in financial literature, but the phenomena remain…

q-fin.ST2018★ 11 cited

Inferring short-term volatility indicators from Bitcoin blockchain

Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec +2

In this paper, we study the possibility of inferring early warning indicators (EWIs) for periods of extreme bitcoin price volatility using features obtained from Bitcoin daily tran…

q-fin.RM2016★ 1 cited

Crises and Physical Phases of a Bipartite Market Model

Nima Dehmamy, Sergey Buldyrev, Shlomo Havlin +2

We analyze the linear response of a market network to shocks based on the bipartite market model we introduced in an earlier paper, which we claimed to be able to identify the time…

physics.soc-ph2015★ 109 cited

Multiple Tipping Points and Optimal Repairing in Interacting Networks

Antonio Majdandzic, Lidia A. Braunstein, Chester Curme +4

Systems that comprise many interacting dynamical networks, such as the human body with its biological networks or the global economic network consisting of regional clusters, often…

q-fin.RM2014★ 4 cited

Classical mechanics of economic networks

Nima Dehmamy, Sergey V. Buldyrev, Shlomo Havlin +2

Financial networks are dynamic. To assess their systemic importance to the world-wide economic network and avert losses we need models that take the time variations of the links an…

q-fin.GN2014★ 3 cited

Netconomics: Novel Forecasting Techniques from the Combination of Big Data, Network Science and Economics

Andreas Joseph, Irena Vodenska, Eugene Stanley +1

The combination of the network theoretic approach with recently available abundant economic data leads to the development of novel analytic and computational tools for modelling an…