NDLI: Visualizing networks using adjacency matrices: Progresses and challenges

Content Provider	IEEE Xplore Digital Library
Author	Fekete, J.-D.
Copyright Year	2009
Description	Author affiliation: INRIA, France (Fekete, J.-D.)
Abstract	Visualizing networks has become a very important research and application topic in the recent years, due to the availability of network data through the web, but also to the need of analyzing several types of networks such as computer networks, social networks, biological networks (e.g. gene similarities or biological pathways). Until 2000, the node-link diagram was the only representation used. However, this representation suffers from many readability issues when the network becomes dense. In 2003, we showed that the adjacency matrix representation was more effective to visualize networks when they were dense. We conducted a controlled experiment [3] comparing how users performed on 9 important low-level tasks required for reading a network. We varied the density and the size of the networks and measured the time to complete and number of errors for each condition using a node-link diagram and a matrix. We had significant results for 8 of these tasks, proving that the matrix representation was more effective for large and dense networks, except for one task: path following. Indeed, the matrix representation is not good at finding paths between vertices whereas a correctly laid-out node-link diagram makes it easy on sparse networks and sometimes possible on denser ones.
Starting Page	636
Ending Page	638
File Size	134704
Page Count	3
File Format	PDF
ISBN	9781424436996
DOI	10.1109/CADCG.2009.5246813
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Density measurement Social network services Data visualization Size measurement Computer networks Robustness Time measurement Sparse matrices Application software
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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