{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T03:15:45Z","timestamp":1777778145953,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2016,11,21]],"date-time":"2016-11-21T00:00:00Z","timestamp":1479686400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Information Visualization"],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:p>This special issue of Information Visualization explores the technical challenges and technology development opportunities of graph visual analytics arising from the trend of big data. Big graph visual analytics is about applying visualization and analytics techniques to gather, analyze, and understand big graphs and the knowledge behind them.<\/jats:p>","DOI":"10.1177\/1473871616679013","type":"journal-article","created":{"date-parts":[[2016,11,21]],"date-time":"2016-11-21T20:20:19Z","timestamp":1479759619000},"page":"155-156","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Big graph visual analytics"],"prefix":"10.1177","volume":"16","author":[{"given":"David","family":"Haglin","sequence":"first","affiliation":[{"name":"Pacific Northwest National Laboratory, Richland, WA, USA"}]},{"given":"David","family":"Trimm","sequence":"additional","affiliation":[{"name":"US Department of Defense, Ellicott City, MD, USA"}]},{"given":"Pak Chung","family":"Wong","sequence":"additional","affiliation":[{"name":"Pacific Northwest National Laboratory, Richland, WA, USA"}]}],"member":"179","published-online":{"date-parts":[[2016,11,21]]},"container-title":["Information Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1473871616679013","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1473871616679013","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1473871616679013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:18:47Z","timestamp":1777490327000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1473871616679013"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,21]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,7]]}},"alternative-id":["10.1177\/1473871616679013"],"URL":"https:\/\/doi.org\/10.1177\/1473871616679013","relation":{},"ISSN":["1473-8716","1473-8724"],"issn-type":[{"value":"1473-8716","type":"print"},{"value":"1473-8724","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,21]]}}}