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In this article, we propose an embedded network visualization to display the temporal patterns hiding in the data and use intelligent filters to avoid occlusion. We examined different graphing styles, such as the temporal display and the time direction, to find the best way to present the temporal features. In addition, we demonstrate the utility of our approach with case studies and evaluations of real bibliographic databases.<\/jats:p>","DOI":"10.1177\/1473871618812163","type":"journal-article","created":{"date-parts":[[2018,12,26]],"date-time":"2018-12-26T01:30:50Z","timestamp":1545787850000},"page":"268-280","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Interactive temporal display through collaboration networks visualization"],"prefix":"10.1177","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5425-1188","authenticated-orcid":false,"given":"Ming","family":"Jing","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Shandong University, Jinan, China"}]},{"given":"Xueqing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Shandong University, Jinan, 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