湛江钢铁新闻报道的复杂网络实证分析  

Complex Network-based Empirical Analysis for News Reports on Zhanjiang Steel

作　　者：吴涛[1] 金义富[1] 

机构地区：[1]湛江师范学院信息科学与技术学院,广东湛江524048

出　　处：《湛江师范学院学报》2013年第3期115-121,共7页Journal of Zhanjiang Normal College

基　　金：广东高校优秀青年创新人才培养计划项目(2012LYM_0092);中央高校基本科研业务费专项基金(201121302020010);广东省自然科学基金(S2012010009759)

摘　　要：网络新闻是一种新环境下的新闻媒介形式,其内容的可计算分析具有重要意义,是近年来逐渐兴起的研究热点.以湛江钢铁项目的网络新闻报道为例,通过复杂网络分析方法展开了一系列实证研究,包括全网搜索相关新闻、统计高频特征词、构建高频词的语义网络、计算网络的统计特征等.研究结果表明,湛江钢铁新闻报道的高频词及其语义网络满足无尺度的复杂网络特征,对该项目的后续决策管理和舆论引导提供了相关的参考性建议和意见.Network news, an emerging topic in recent years, is a media form under the new environment; and the computational content analysis is very significant. Taking news reports on Zhanjiang steel as an example, a series of empirical research has been conducted by the complex network--based methods, including fully searching related news, the statistics of high frequency words, constructing the correspond- ing semantic network, and the computation of network features. The results suggest that the high frequency words and semantic network of news reports on Zhanjiang steel satisfy the scale-free feature of complex network, and then some referential suggestions and opinions for decision--making management and public opinion guidance are provided.

关 键 词：复杂网络 新闻分析 实证研究 内容挖掘 舆情监测 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]