The anatomy of tweet overload: How number of tweets received, number of friends, and egocentric network density affect perceived information overload. Issue 4 (November 2015)

• Record Type: Journal Article
• Authors: Sasaki, Yuichi; Kawai, Daisuke; Kitamura, Satoshi
• Is Part Of: Telematics and informatics. Volume 32:Issue 4(2015)
• Page Start: 853
• Page End: 861
• Publication Date: 2015-11
• Subjects: Telecommunication -- Periodicals; Computer networks -- Periodicals; Télécommunications -- Périodiques; Réseaux d'ordinateurs -- Périodiques; 384
• DOI: 10.1016/j.tele.2015.04.008
• Languages: English
• ISSNs: 0736-5853

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st005">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0005">We collected data through a web-based survey and through Twitter's open APIs.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0010">The number of friends had a significantly positive effect on tweet overload.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0015">The number of tweets received did not have a significant effect on tweet overload.</p> </list-item> <list-item id="o0020"> <label></label> <p id="p0020">A large number of friends strengthened network density's effect on tweet overload.</p> </list-item> <list-item id="o0025"> <label></label> <p id="p0025">A small number of friends strengthened network density but reduced tweet overload.</p> </list-item> </list> </p> </sec> </abstract>