ADraw: A novel social network visualization tool with attribute-based layout and coloring

2013 ◽  
Author(s):  
Zhenwen Wang ◽  
Weidong Xiao ◽  
Bin Ge ◽  
Hao Xu
Keyword(s):  
Social Network ◽  
Network Visualization ◽  
Visualization Tool

scholarly journals Increasing students’ social engagement during COVID-19 with Net.Create: collaborative social network analysis to map historical pandemics during a pandemic

2020 ◽  
Vol 121 (7/8) ◽  
pp. 533-547
Author(s):  
Kalani Craig ◽  
Megan Humburg ◽  
Joshua A. Danish ◽  
Maksymilian Szostalo ◽  
Cindy E. Hmelo-Silver ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Student Attitudes ◽  
Knowledge Building ◽  
Classroom Interaction ◽  
Network Visualization ◽  
Visualization Tool ◽  
Content Type ◽  
Remote Learning

Purpose The authors explored shifts in social interactions, content engagement and history learning as students who were studying one pandemic simultaneously experienced another. This paper aims to understand how the Net.Create network visualization tool would support students as they tried to understand the many complex interactions in a historical text in a remote learning environment and how sustained knowledge building using Net.Create would shape student attitudes toward remote learning, collaboration and engagement. Design/methodology/approach This paper explores changes in engagement and learning in a survey-level history course on the black death after a shift to remote learning during the COVID-19 pandemic. The authors used activity theory to focus the adaptation of Net.Create, a web-based collaborative social-network-analysis tool and to understand how it supported group-based remote learning. The authors describe how the redesigned activities sustained engagement with historical content and report coded student network entries, reading responses and surveys to illustrate changes in engagement and learning. Findings The results suggest that students benefit from personal connections to historical content and their peers. Net.Create supported both through collaborative knowledge-building activities and reflection on how their quarantine experiences compared to the historical content they read. It is possible to avoid student frustrations with traditional “group work” even in a remote environment by supporting collaborative learning using Net.Create and a mix of individual and group contributions. Originality/value This is the first use of a collaborative network visualization tool to support large classroom interaction and engagement with history content at the undergraduate level.

scholarly journals Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic

2020 ◽  
Author(s):  
Tetsuro Kawano-Sugaya ◽  
Koji Yatsu ◽  
Tsuyoshi Sekizuka ◽  
Kentaro Itokawa ◽  
Masanori Hashino ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Phylogenetic Relationships ◽  
Viral Genome ◽  
Functional Limitations ◽  
Time Dependent ◽  
Network Visualization ◽  
Visualization Tool ◽  
Genome Sequences ◽  
Haplotype Networks ◽  
Cluster Visualization

AbstractThe worldwide eruption of COVID-19 that began in Wuhan, China in late 2019 reached 10 million cases by late June 2020. In order to understand the epidemiological landscape of the COVID-19 pandemic, many studies have attempted to elucidate phylogenetic relationships between collected viral genome sequences using haplotype networks. However, currently available applications for network visualization are not suited to understand the COVID-19 epidemic spatiotemporally, due to functional limitations That motivated us to develop Haplotype Explorer, an intuitive tool for visualizing and exploring haplotype networks. Haplotype Explorer enables people to dissect epidemiological consequences via interactive node filters to provide spatiotemporal perspectives on multimodal spectra of infectious diseases, including introduction, outbreak, expansion, and containment, for given regions and time spans. Here, we demonstrate the effectiveness of Haplotype Explorer by showing an example of its visualization and features. The demo using SARS-CoV-2 genome sequences is available at https://github.com/TKSjp/HaplotypeExplorerSummaryA lot of software for network visualization are available, but existing software have not been optimized to infection cluster visualization against the current worldwide invasion of COVID-19 started since 2019. To reach the spatiotemporal understanding of its epidemics, we developed Haplotype Explorer. It is superior to other applications in the point of generating HTML distribution files with metadata searches which interactively reflects GISAID IDs, locations, and collection dates. Here, we introduce the features and products of Haplotype Explorer, demonstrating the time-dependent snapshots of haplotype networks inferred from total of 4,282 SARS-CoV-2 genomes.

scholarly journals CrosstalkNet: mining large-scale bipartite co-expression networks to characterize epi-stroma crosstalk

2017 ◽  
Author(s):  
Venkata Manem ◽  
George Adam ◽  
Tina Gruosso ◽  
Mathieu Gigoux ◽  
Nicholas Bertos ◽  
...  
Keyword(s):  
Stromal Cells ◽  
Large Scale ◽  
Network Visualization ◽  
Visualization Tool ◽  
Biological Processes ◽  
Web Based ◽  
Link Type ◽  
A Cell ◽  
Large Scale Networks ◽  
User Friendly

ABSTRACTBackground:Over the last several years, we have witnessed the metamorphosis of network biology from being a mere representation of molecular interactions to models enabling inference of complex biological processes. Networks provide promising tools to elucidate intercellular interactions that contribute to the functioning of key biological pathways in a cell. However, the exploration of these large-scale networks remains a challenge due to their high-dimensionality.Results:CrosstalkNet is a user friendly, web-based network visualization tool to retrieve and mine interactions in large-scale bipartite co-expression networks. In this study, we discuss the use of gene co-expression networks to explore the rewiring of interactions between tumor epithelial and stromal cells. We show how CrosstalkNet can be used to efficiently visualize, mine, and interpret large co-expression networks representing the crosstalk occurring between the tumour and its microenvironment.Conclusion:CrosstalkNet serves as a tool to assist biologists and clinicians in exploring complex, large interaction graphs to obtain insights into the biological processes that govern the tumor epithelial-stromal crosstalk. A comprehensive tutorial along with case studies are provided with the application.Availability:The web-based application is available at the following location: http://epistroma.pmgenomics.ca/app/. The code is open-source and freely available from http://github.com/bhklab/EpiStroma-webapp.Contact:[email protected]

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