ActiveMap: Visual analysis of temporal activity in social media sites

Hagit Ben-Shoshan; Osnat Mokryn

doi:10.1145/3180308.3180358

ActiveMap: Visual analysis of temporal activity in social media sites

Hagit Ben-Shoshan, Osnat Mokryn

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.

Original language	English
Title of host publication	IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
Publisher	Association for Computing Machinery
Pages	491-492
ISBN (Electronic)	9781450355711
DOIs	https://doi.org/10.1145/3180308.3180358
State	Published - 5 Mar 2018
Event	23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan Duration: 7 Mar 2018 → 11 Mar 2018

Publication series

Name	International Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference	23rd International Conference on Intelligent User Interfaces, IUI 2018
Country/Territory	Japan
City	Tokyo
Period	7/03/18 → 11/03/18

Bibliographical note

Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).

Keywords

Social media
Temporal activity
Treemap

ASJC Scopus subject areas

Software
Human-Computer Interaction

Access to Document

10.1145/3180308.3180358

Cite this

Ben-Shoshan, H., & Mokryn, O. (2018). ActiveMap: Visual analysis of temporal activity in social media sites. In IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces (pp. 491-492). Article a49 (International Conference on Intelligent User Interfaces, Proceedings IUI). Association for Computing Machinery. https://doi.org/10.1145/3180308.3180358

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title = "ActiveMap: Visual analysis of temporal activity in social media sites",

abstract = "Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.",

keywords = "Social media, Temporal activity, Treemap",

author = "Hagit Ben-Shoshan and Osnat Mokryn",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s).; 23rd International Conference on Intelligent User Interfaces, IUI 2018 ; Conference date: 07-03-2018 Through 11-03-2018",

year = "2018",

month = mar,

day = "5",

doi = "10.1145/3180308.3180358",

language = "English",

series = "International Conference on Intelligent User Interfaces, Proceedings IUI",

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Ben-Shoshan, H & Mokryn, O 2018, ActiveMap: Visual analysis of temporal activity in social media sites. in IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces., a49, International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery, pp. 491-492, 23rd International Conference on Intelligent User Interfaces, IUI 2018, Tokyo, Japan, 7/03/18. https://doi.org/10.1145/3180308.3180358

ActiveMap: Visual analysis of temporal activity in social media sites. / Ben-Shoshan, Hagit; Mokryn, Osnat.
IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces. Association for Computing Machinery, 2018. p. 491-492 a49 (International Conference on Intelligent User Interfaces, Proceedings IUI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.

AB - Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.

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ActiveMap: Visual analysis of temporal activity in social media sites

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this