Micro-Blogging Based Network Growth Model of Semantic Link Network

Abstract

This paper studies the network model in SLN by applying the methodology of social network to a widely accepted, real-life user interactive network scenario. The data and experiments are based on micro-blogging (Sina Weibo). Results show that the statistic properties of SLN are in close analogy with that of social network. Contrary to our normal understanding, some nodes with too much semantics (especially under one category) are in decreased chances of having links from newly added nodes.