activity
20162021
collaborators

6 papers

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…

cs.SI2020

VAIM: Visual Analytics for Influence Maximization

Alessio Arleo, Walter Didimo, Giuseppe Liotta +2

In social networks, individuals' decisions are strongly influenced by recommendations from their friends and acquaintances. The influence maximization (IM) problem asks to select a…

cs.HC2019

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

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…

cs.DC2017

GiViP: A Visual Profiler for Distributed Graph Processing Systems

Alessio Arleo, Walter Didimo, Giuseppe Liotta +1

Analyzing large-scale graphs provides valuable insights in different application scenarios. While many graph processing systems working on top of distributed infrastructures have b…

cs.DS2016

A Distributed Force-Directed Algorithm on Giraph: Design and Experiments

Alessio Arleo, Walter Didimo, Giuseppe Liotta +1

In this paper we study the problem of designing a distributed graph visualization algorithm for large graphs. The algorithm must be simple to implement and the computing infrastruc…