Community Evolution Analysis Driven by Tag Events: The Special Perspective of New Tags

The type, quantity, and scale of social-tagging systems have grown constantly in recent years as users’ interest increases. Tags important reference value the study networked communities since they typically represent user preference. This paper aims to examine how a tagging community evolves check impact new tags on evolution. Therefore, we proposed an improved evolution model for tag where accumulate without withdrawal. Based model, conducted analysis three different with datasets generated from Delicious bookmarking system, CiteULike, Douban. results emphasized that individuals enormous influence evolution, dominate Form event, lead early Split indirectly hand Merge affect existing tags’ transfer when flood into system. Moreover, are proved be more influential relation data CiteULike Douban, event. in-depth detailed depiction helps us understand process crucial role tags.