activity
20162026
most citedImmersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

21 citations · 53 across the 8 of their papers we have counts for

collaborators

12 papers

cs.HC2026

AI-Centered Grand Challenges in Visual Analytics for Healthcare: Synthesizing the VAHC 2025 Community Experience

Jürgen Bernard, David Gotz, Robert S Laramee +4

The intersection of AI, healthcare, and visualization is evolving rapidly, posing challenges that cut across disciplinary boundaries and resist easy resolution. The Visual Analytic…

cs.HC2023★ 10 cited

A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics

Davide Ceneda, Christopher Collins, Mennatallah El-Assady +3

Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics…

cs.HC2023★ 3 cited

TimeLighting: Guided Exploration of 2D Temporal Network Projections

Velitchko Filipov, Davide Ceneda, Daniel Archambault +1

In temporal ( event-based ) networks, time is a continuous axis, with real-valued time coordinates for each node and edge. Computing a layout for such graphs means embedding the no…

cs.HC2022

On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings

Velitchko Filipov, Alessio Arleo, Markus Bögl +1

Dynamic networks reflect temporal changes occurring to the graph's structure and are used to model a wide variety of problems in many application fields. We investigate the design…

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★ 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…

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.DC2016

A Distributed Multilevel Force-directed Algorithm

Alessio Arleo, Walter Didimo, Giuseppe Liotta +1

The wide availability of powerful and inexpensive cloud computing services naturally motivates the study of distributed graph layout algorithms, able to scale to very large graphs.…

cs.CG2016★ 3 cited

Visibility Representations of Boxes in 2.5 Dimensions

Alessio Arleo, Carla Binucci, Emilio Di Giacomo +7

We initiate the study of 2.5D box visibility representations (2.5D-BR) where vertices are mapped to 3D boxes having the bottom face in the plane and edges are unobstructed li…

cs.DS2016★ 3 cited

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…