TopicTracker: A platform for topic trajectory identification and visualisation
Topic trajectory information provides crucial insight into the dynamics of topics and their evolutionary relationships over a given time. Also, this information can improve our understanding on how new topics have emerged or formed through a sequential or interrelated events of emergence, modificati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023000262 |
| _version_ | 1797818632617590784 |
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| author | Yong-Bin Kang Timos Sellis |
| author_facet | Yong-Bin Kang Timos Sellis |
| author_sort | Yong-Bin Kang |
| collection | DOAJ |
| description | Topic trajectory information provides crucial insight into the dynamics of topics and their evolutionary relationships over a given time. Also, this information can improve our understanding on how new topics have emerged or formed through a sequential or interrelated events of emergence, modification and integration of prior topics. Nevertheless, the implementation of the existing methods for topic trajectory identification is rarely available as usable software. In this paper, we present TopicTracker, a platform for topic trajectory identification and visualisation. The key of TopicTracker is that it can represent the three facets of information together, given two kinds of input: a time-stamped topic profile consisting of the set of the underlying topics over time, and the evolution strength matrix among them: evolutionary pathways of dynamic topics, evolution states of the topics, and topic importance. TopicTracker is a publicly available software implemented using the R software. |
| first_indexed | 2024-03-13T09:11:58Z |
| format | Article |
| id | doaj.art-3e7d5b05a51d44ad8d9c20e44a0e534b |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-13T09:11:58Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-3e7d5b05a51d44ad8d9c20e44a0e534b2023-05-27T04:25:42ZengElsevierSoftwareX2352-71102023-05-0122101330TopicTracker: A platform for topic trajectory identification and visualisationYong-Bin Kang0Timos Sellis1ARC Centre of Excellence for Automated Decision-Making and Society, Swinburne University of Technology, Victoria, Australia; Corresponding author.Archimedes Research Unit, Athena Research Center, GreeceTopic trajectory information provides crucial insight into the dynamics of topics and their evolutionary relationships over a given time. Also, this information can improve our understanding on how new topics have emerged or formed through a sequential or interrelated events of emergence, modification and integration of prior topics. Nevertheless, the implementation of the existing methods for topic trajectory identification is rarely available as usable software. In this paper, we present TopicTracker, a platform for topic trajectory identification and visualisation. The key of TopicTracker is that it can represent the three facets of information together, given two kinds of input: a time-stamped topic profile consisting of the set of the underlying topics over time, and the evolution strength matrix among them: evolutionary pathways of dynamic topics, evolution states of the topics, and topic importance. TopicTracker is a publicly available software implemented using the R software.http://www.sciencedirect.com/science/article/pii/S2352711023000262TopicTrackerTopic trajectoryTopic evolutionTopic tracking |
| spellingShingle | Yong-Bin Kang Timos Sellis TopicTracker: A platform for topic trajectory identification and visualisation SoftwareX TopicTracker Topic trajectory Topic evolution Topic tracking |
| title | TopicTracker: A platform for topic trajectory identification and visualisation |
| title_full | TopicTracker: A platform for topic trajectory identification and visualisation |
| title_fullStr | TopicTracker: A platform for topic trajectory identification and visualisation |
| title_full_unstemmed | TopicTracker: A platform for topic trajectory identification and visualisation |
| title_short | TopicTracker: A platform for topic trajectory identification and visualisation |
| title_sort | topictracker a platform for topic trajectory identification and visualisation |
| topic | TopicTracker Topic trajectory Topic evolution Topic tracking |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023000262 |
| work_keys_str_mv | AT yongbinkang topictrackeraplatformfortopictrajectoryidentificationandvisualisation AT timossellis topictrackeraplatformfortopictrajectoryidentificationandvisualisation |