activity
20182023
most citedImmersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

21 citations · 60 across the 7 of their papers we have counts for

collaborators

8 papers

physics.med-ph2023★ 2 cited

Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks

Elma Dervić, Johannes Sorger, Liuhuaying Yang +5

We aim to comprehensively identify typical life-spanning trajectories and critical events that impact patients' hospital utilization and mortality. We use a unique dataset containi…

physics.soc-ph2022

Evidence-based policy-making in sports funding using a data-driven optimization approach

Jan Hurt, Liuhuaying Yang, Johannes Sorger +5

Many European countries face rising obesity rates among children, compounded by decreased opportunities for sports activities during the COVID-19 pandemic. Access to sports facilit…

physics.soc-ph2022★ 10 cited

Stress-testing the Resilience of the Austrian Healthcare System Using Agent-Based Simulation

Michaela Kaleta, Jana Lasser, Elma Dervic +6

Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As retirements, mass quarantines and absence due to sickness d…

cs.GR2021

Egocentric Network Exploration for Immersive Analytics

Johannes Sorger, Alessio Arleo, Peter Kán +2

To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of "egocentrism", where data depiction and interaction are a…

physics.soc-ph2021

Agent-based simulations for protecting nursing homes with prevention and vaccination strategies

Jana Lasser, Johannes Zuber, Johannes Sorger +11

Due to its high lethality amongst the elderly, the safety of nursing homes has been of central importance during the COVID-19 pandemic. With test procedures becoming available at s…

cs.HC2019★ 21 cited

Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

Johannes Sorger, Manuela Waldner, Wolfgang Knecht +1

Analysis of large dynamic networks is a thriving research field, typically relying on 2D graph representations. The advent of affordable head mounted displays however, sparked new…

q-fin.GN2019★ 13 cited

Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge

Alessio Arleo, Christos Tsigkanos, Chao Jia +7

Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available…

econ.GN2018★ 14 cited

When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters

Sebastian Poledna, Stefan Hochrainer-Stigler, Michael Gregor Miess +8

Reliable estimates of indirect economic losses arising from natural disasters are currently out of scientific reach. To address this problem, we propose a novel approach that combi…