Reading in social networks: analysis possibilities for researchers

被引：0

作者：

Montesi, Michela ^{[1
]}

机构：

[1] Univ Complutense Madrid, Madrid, Spain

来源：

REVISTA IBERO-AMERICANA DE CIENCIA DA INFORMACAO | 2015年 / 8卷 / 01期

关键词：

Amazon; Goodreads; Reading; Reading propagation; Social networking;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

The web affords many opportunities to study and analyze people's opinions and behaviors, including reading behavior. In this paper, we analyze three social networks devoted to books and readings (Goodreads, LibraryThing and Amazon), in order to understand the type of information they can offer about reading behaviors, both quantitatively and qualitatively. Quantitative data on the three platforms include, among the others, the number of readers, as well as the number of reviews and discussions on a specific book. These data can be shown in temporal graphs in order to appreciate their evolution over time. As for the qualitative type of data, the textual information available in reviews and discussions allows for different types of analysis. As an example, we propose an analysis of the reviews published on a book in Amazon and a topical analysis of discussions about a novel for young readers in Goodreads.

引用

页码：67 / 81

页数：15

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