{"title":"LOOM: Showing the Dynamics of Power Laws in Twitter Data","authors":"Maryanne Doyle, Mark T. Keane","doi":"10.1109/iV.2017.50","DOIUrl":null,"url":null,"abstract":"LOOM is advanced as a new visualisation for changes in ranks and trends in power-law data that is changing dynamically over time. A comparison between LOOM and existing methods for visualising such data (e.g., time-series graphs, typical analytics dashboards). Several exemplar data sets are shown, using LOOM, drawn from the tracking of news stories on Twitter. The basis for the LOOM visualisation is elaborated and it is shown how it avoids the pitfalls arising in other line-graph representations.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st International Conference Information Visualisation (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iV.2017.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
LOOM is advanced as a new visualisation for changes in ranks and trends in power-law data that is changing dynamically over time. A comparison between LOOM and existing methods for visualising such data (e.g., time-series graphs, typical analytics dashboards). Several exemplar data sets are shown, using LOOM, drawn from the tracking of news stories on Twitter. The basis for the LOOM visualisation is elaborated and it is shown how it avoids the pitfalls arising in other line-graph representations.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
