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20182026
most citedAsk "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data

13 citations · 31 across the 7 of their papers we have counts for

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physics.soc-ph2021

Some Challenges in Monitoring Epidemics

Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing

Epidemic models often reflect characteristic features of infectious spreading processes by coupled non-linear differential equations considering different states of health (such as…

physics.soc-ph2020★ 2 cited

Understanding complexity via network theory: a gentle introduction

Vaiva Vasiliauskaite, Fernando E. Rosas

Network theory provides tools which are particularly appropriate for assessing the complex interdependencies that characterise our modern connected world. This article presents an…

physics.soc-ph2019

Social Success of Perfumes

Vaiva Vasiliauskaite, Tim S. Evans

We study data on perfumes and their odour descriptors - notes - to understand how note compositions, called accords, influence successful fragrance formulas. We obtain accords whic…

physics.soc-ph2019

Making Communities Show Respect for Order

Vaiva Vasiliauskaite, Tim S. Evans

In this work we give a community detection algorithm in which the communities both respects the intrinsic order of a directed acyclic graph and also finds similar nodes. We take in…

physics.soc-ph2019

Longest Path in the Price Model

Tim S. Evans, Lucille Calmon, Vaiva Vasiliauskaite

The Price model, the directed version of the Barabási-Albert model, produces a growing directed acyclic graph. We look at variants of the model in which directed edges are added to…

physics.soc-ph2018

Interdisciplinarity Revealed by Transitive Reduction of Citation Networks

H. AlMuhanna, V. Vasiliauskaite, T. S. Evans

We investigate the impact of transitive reduction on citation networks. Our hypothesis is that documents which lose fewer citations under transitive reduction are likely to be inte…