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  • × author_ss:"Pan, X."
  • × year_i:[2010 TO 2020}
  1. Pan, X.; He, S.; Zhu, X.; Fu, Q.: How users employ various popular tags to annotate resources in social tagging : an empirical study (2016) 0.00 
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    Abstract
    This paper focuses on exploring the usage patterns and regularities of co-employment of various popular tags and their relationships with the activeness of users and the interest level of resources in social tagging. A hypernetwork for social tagging is constructed in which a tagging action is expressed as a hyperedge and the user, resource, and tag are expressed as nodes. Quantitative measures for the constructed hypernetwork are defined, including the hyperdegree and its distribution, the excess average hyperdegree, and the hyperdegree conditional probability distribution. Using the data set from Delicious, an empirical study was conducted. The empirical results show that multiple individual tags and one or very few popular tags are generally employed together in one tagging action, and the usage patterns and regularities of tags with varying popularity are correlated to both user activity and resource interest. The empirical results are further discussed and explained from the perspectives of tag functions and motivations. Finally, suggestions regarding the usage of various popular tags for both tagging users and service providers of social tagging are given.
    Type
    a
  2. Pan, X.; Yan, E.; Hua, W.: Science communication and dissemination in different cultures : an analysis of the audience for TED videos in China and abroad (2016) 0.00 
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    Abstract
    Disseminated across the world in more than 100 languages and viewed over 1 billion times, TED Talks is a successful example of web-based science communication. This study investigates the impact of TED Talks videos on YouKu, a Chinese video portal, and YouTube using 6 measures of impact: number of views; likes; dislikes; comments; bookmarks; and shares. In particular, we study the relationship between the topicality and impact of these videos. Findings demonstrate that topics vary greatly in terms of their impact: Topics on entertainment and psychology/philosophy receive more views and likes, whereas design/art and astronomy/biology/oceanography attract fewer comments and bookmarks. Moreover, we identify several topical differences between YouKu and YouTube users. Topics on global issues and technology are more popular on YouKu, whereas topics on entertainment and psychology/philosophy are more popular on YouTube. By analyzing the popularity distribution of videos and the audience characteristics of YouKu, we find that women are more interested in topics on education and psychology/philosophy, whereas men favor topics on technology and astronomy/biology/oceanography.
    Type
    a

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