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Hypergraph Data analysis with PAOHVis

Paolo Buono, Miguel Ceriani, Maria Francesca Costabile
2021 Sistemi Evoluti per Basi di Dati  
Many data analysis activities exploit graphs to model complex relationships among data.  ...  Hypergraphs are suitable to model networks of business partners or co-authorship networks with multiple authors per article.  ...  The authors thank Alberto Rutigliano for his contribution in gathering the data analyzed in this article.  ... 
dblp:conf/sebd/BuonoCC21 fatcat:czecqmn2qbas5kv6vw2jk24aiu

Towards a Survey on Static and Dynamic Hypergraph Visualizations [article]

Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021 arXiv   pre-print
We provide an overview and a categorization of proposed approaches, focusing on performance, scalability, interaction support, successful evaluation, and the ability to represent different underlying data  ...  However, interactive visualization methods for hypergraphs and hypergraph-based models have rarely been explored or systematically analyzed.  ...  The authors propose a pipeline for visual analysis of associated data and summarized many different graph representations for large relationship data sets.  ... 
arXiv:2107.13936v1 fatcat:vmme4ufgcze4lcxvuhn4xor3pq

Towards a Survey on Static and Dynamic Hypergraph Visualizations

Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021 2021 IEEE Visualization Conference (VIS)  
We provide an overview and a categorization of proposed approaches, focusing on performance, scalability, interaction support, successful evaluation, and the ability to represent different underlying data  ...  However, interactive visualization methods for hypergraphs and hypergraph-based models have rarely been explored or systematically analyzed.  ...  The authors propose a pipeline for visual analysis of associated data and summarized many different graph representations for large relationship data sets.  ... 
doi:10.1109/vis49827.2021.9623305 fatcat:7r6tflk7urdshcahv75vfjfteq

Visual Analytics for Temporal Hypergraph Model Exploration [article]

Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
2020 IEEE Transactions on Visualization and Computer Graphics   accepted
We evaluate our technique in a case study and through formative evaluation with law enforcement experts using real-world internet forum communication data.  ...  With the technique, we pave the way for the visual analytics of temporal hypergraphs in a wide variety of domains.  ...  The workflow begins with raw data extraction and the generation of a temporal hypergraph model.  ... 
doi:10.1109/tvcg.2020.3030408 pmid:33048721 arXiv:2008.07299v2 fatcat:z7oqyqam3nggtblulazf7gq724

Deciphering Multi-way Interactions in the Human Genome [article]

Stephen M Lindsly, Can Chen, Sam Dilworth, Sivakumar Jeyarajan, Cooper Stansbury, Anthony Cicalo, Walter Meixner, Nicholas Beckloff, Charles Ryan, Amit Surana, Gilbert Omenn, Lindsey Muir (+1 others)
2021 bioRxiv   pre-print
We use the theory of hypergraphs for data representation and analysis, and quantify higher order structures in primary human fibroblasts and B lymphocytes.  ...  Through integration of multi-way contact data with chromatin accessibility, gene expression, and transcription factor binding data, we introduce a data-driven method to extract transcriptional clusters  ...  The incidence matrix of the genomic hypergraph can be visualized via PAOHvis [20] .  ... 
doi:10.1101/2021.08.15.456363 fatcat:vkbmxh7bgzem3prcjr74utkyji

Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization

Paola Valdivia, Paolo Buono, Catherine Plaisant, Nicole Dufournaud, Jean-Daniel Fekete
2019 IEEE Transactions on Visualization and Computer Graphics  
We describe a prototype implementation of Parallel Aggregated Ordered Hypergraph, report on a usability study with 9 participants analyzing publication data, and summarize the improvements made.  ...  Hypergraphs can be used to model networks of business partners or co-authorship networks with multiple authors per article. A dynamic hypergraph evolves over discrete time slots.  ...  PAOH with data manipulation functions.  ... 
doi:10.1109/tvcg.2019.2933196 pmid:31398121 fatcat:pqghce3eyffenftcfq5kkkbk4e

Integrating Prior Knowledge in Mixed Initiative Social Network Clustering [article]

Alexis Pister, Paolo Buono, Jean-Daniel Fekete, Catherine Plaisant, Paola Valdivia
2020 arXiv   pre-print
Our prototype being implemented in the PAOHVis tool [44] it illustrates how users can view their networks as PAOH (Parallel Aggregated Ordered Hypergraph) or traditional Node Link diagrams.  ...  In addition, since we often deal with hypergraphs we also implemented 2 bipartite node clustering algorithms: Spectral-co-Clustering [11] and Bipartite Modularity Optimisation.  ... 
arXiv:2005.02972v1 fatcat:6wj5a3evljabpbbf6uewyj4cmi

Disentangling the 4D Nucleome [article]

Stephen Lindsly, University, My
2021
The dynamical relationship between 3D genome structure, genome function, and cellular phenotype is referred to as the 4D Nucleome (4DN). 4DN analysis remains difficult, since multiple data modalities must  ...  In my dissertation work, I present a computational toolbox which offers both novel and established methods to integrate and analyze time series genome structure and function data.  ...  The incidence matrix of the genomic hypergraph can be nicely visualized via PAOHvis [133] .  ... 
doi:10.7302/2953 fatcat:dsnmc5ycvjcptcznsq4eanladm