Semiotic dynamics and collaborative tagging

被引:176
作者
Cattuto, Ciro
Loreto, Vittorio
Pietronero, Luciano
机构
[1] Univ Roma La Sapienza, Dipartimento Fis, I-00185 Rome, Italy
[2] Museo Stor Fis, I-00184 Rome, Italy
[3] Ctr Studi & Ric Enrico Fermi, I-00184 Rome, Italy
关键词
online social communities; statistical physics; social bookmarking; information dynamics;
D O I
10.1073/pnas.0610487104
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag cooccurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory, or aging of resources, in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features with a surprisingly high accuracy. This points in the direction of a universal behavior of users who, despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity, appear to follow simple activity patterns.
引用
收藏
页码:1461 / 1464
页数:4
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