Article ID Journal Published Year Pages File Type
4961300 Procedia Computer Science 2016 10 Pages PDF
Abstract

We analyze the relationship between large-scale Hungarian Facebook pages, where connection is based on a common active fan base. For this purpose, we built a network database (121 nodes and 655 edges) where the nodes are Facebook pages and the edges indicate if a given Facebook page has a common active fan base with another Facebook page. According to the results, the primary organizing principle in this relationship is the topic, while other factors such as ownership background and political views could not be identified as ordering principles. Within large topics, gender and social background are identified as sub-ordering principles. A further result is that the identified clusters could provide useful input for Facebook page operators in finding valuable link-exchange partners.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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