Micro-blogging Based Network Growth Model of Semantic Link Network

被引：3
|
作者：
Ren, Wei [1 ]
Qiu, Yuhui [1 ]
机构：
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing 400715, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
micor-blogging; network growth model; semantic link network;
D O I：
10.4028/www.scientific.net/AMM.513-517.2211
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：2211 / 2214
页数：4
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