Amyra Meidiana

According to our database, Amyra Meidiana authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

New Seeding Strategies for the Influence Maximization Problem.

Seok-Hee Hong, Juan Pablo Bonilla Ataides, Rowena Kok, Amyra Meidiana, Kunsoo Park

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

DSS: Drawing Dynamic Graphs with Spectral Sparsification.

Amyra Meidiana, Seok-Hee Hong, Yanyi Pu, Justin Lee, Peter Eades, Jinwook Seo

Proceedings of the 24th Eurographics Conference on Visualization, 2022

GDot-i: Interactive System for Dot Paintings of Graphs.

Peter Eades, Seok-Hee Hong, Martin McGrane, Amyra Meidiana

Proceedings of the 24th Eurographics Conference on Visualization, 2022

DNC: Dynamic Neighborhood Change Faithfulness Metrics.

Shijun Cai, Amyra Meidiana, Seok-Hee Hong

Proceedings of the 24th Eurographics Conference on Visualization, 2022

Shape-Faithful Graph Drawings.

Amyra Meidiana, Seok-Hee Hong, Peter Eades

Proceedings of the Graph Drawing and Network Visualization - 30th International Symposium, 2022

dGG, dRNG, DSC: New Degree-based Shape-based Faithfulness Metrics for Large and Complex Graph Visualization.

Seok-Hee Hong, Amyra Meidiana, James Wood, Juan Pablo Ataides, Peter Eades, Kunsoo Park

Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022

2021

BC tree-based spectral sampling for big complex network visualization.

Jingming Hu, Tuan Tran Chu, Seok-Hee Hong, Jialu Chen, Amyra Meidiana, Marnijati Torkel, Peter Eades, Kwan-Liu Ma

Appl. Netw. Sci., 2021

Sublinear-time Algorithms for Stress Minimization in Graph Drawing.

Amyra Meidiana, James Wood, Seok-Hee Hong

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

Sublinear-Time Attraction Force Computation for Large Complex Graph Drawing.

Amyra Meidiana, Seok-Hee Hong, Shijun Cai, Marnijati Torkel, Peter Eades

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

Sublinear Time Force Computation for Big Complex Network Visualization.

Amyra Meidiana, Seok-Hee Hong, Marnijati Torkel, Shijun Cai, Peter Eades

Comput. Graph. Forum, 2020

New Quality Metrics for Dynamic Graph Drawing.

Amyra Meidiana, Seok-Hee Hong, Peter Eades

Proceedings of the Graph Drawing and Network Visualization - 28th International Symposium, 2020

Quality Metrics for Symmetric Graph Drawings.

Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

A Quality Metric for Symmetric Graph Drawings.

Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim

CoRR, 2019

Topology-Based Spectral Sparsification.

Amyra Meidiana, Seok-Hee Hong, Jiajun Huang, Peter Eades, Kwan-Liu Ma

Proceedings of the 9th IEEE Symposium on Large Data Analysis and Visualization, 2019

A Quality Metric for Visualization of Clusters in Graphs.

Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim

Proceedings of the Graph Drawing and Network Visualization - 27th International Symposium, 2019

2018

BC Tree-Based Proxy Graphs for Visualization of Big Graphs.

Seok-Hee Hong, Quan Hoang Nguyen, Amyra Meidiana, Jiaxi Li, Peter Eades

Proceedings of the IEEE Pacific Visualization Symposium, 2018

2017

Proxy Graph: Visual Quality Metrics of Big Graph Sampling.

Quan Hoang Nguyen, Seok-Hee Hong, Peter Eades, Amyra Meidiana

IEEE Trans. Vis. Comput. Graph., 2017

2015

MultiStory: Visual analytics of dynamic multi-relational networks.

Amyra Meidiana, Seok-Hee Hong

Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015