Interactional and Informational Attention on Twitter

被引:1
|
作者
Baltzer, Agathe [1 ,2 ]
Karsai, Marton [1 ]
Roth, Camille [3 ,4 ]
机构
[1] Univ Claude Bernard Lyon 1, Univ Lyon, CNRS, INRIA,ENS Lyon,LIP UMR 5668, F-69007 Lyon, France
[2] Mines ParisTech, F-75006 Paris, France
[3] CNRS, Friedrichstr 191, D-10117 Berlin, Germany
[4] UMIFRE CNRS MAEE 14, Ctr Marc Bloch, Computat Social Sci Team, Friedrichstr 191, D-10117 Berlin, Germany
基金
欧洲研究理事会;
关键词
attention; influence; ego-centered networks; twitter study; information spreading; NETWORKS;
D O I
10.3390/info10080250
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Twitter may be considered to be a decentralized social information processing platform whose users constantly receive their followees' information feeds, which they may in turn dispatch to their followers. This decentralization is not devoid of hierarchy and heterogeneity, both in terms of activity and attention. In particular, we appraise the distribution of attention at the collective and individual level, which exhibits the existence of attentional constraints and focus effects. We observe that most users usually concentrate their attention on a limited core of peers and topics, and discuss the relationship between interactional and informational attention processes-all of which, we suggest, may be useful to refine influence models by enabling the consideration of differential attention likelihood depending on users, their activity levels, and peers' positions.
引用
收藏
页数:16
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