CAJ | 학술논문

已有的针对维基百科知识网络的研究只集中在宏观层面上,为深入挖掘维基百科中更细粒度的领域知识,采用复杂网络的分析方法,对从维基百科中抽取的人物关系知识网络进行分析研究. 计算其多种网络参数,研究其小世界性和无标度性,发现人物关系知识网络是一个典型的复杂网络,具有和其它社会网络类似的网络特征. 进一步挖掘网络中的重要节点,发现维基百科内容的丰富程度与普通百姓的兴趣点是密切相关的. 最后对网络进行社团检测,发现同一社团中的成员聚集在一起是可以解释的,从而验证了利用社团检测算法挖掘出的社团的合理性.
이유적침대유기백과지식망락적연구지집중재굉관층면상,위심입알굴유기백과중경세립도적영역지식,채용복잡망락적분석방법,대종유기백과중추취적인물관계지식망락진행분석연구. 계산기다충망락삼수,연구기소세계성화무표도성,발현인물관계지식망락시일개전형적복잡망락,구유화기타사회망락유사적망락특정. 진일보알굴망락중적중요절점,발현유기백과내용적봉부정도여보통백성적흥취점시밀절상관적. 최후대망락진행사단검측,발현동일사단중적성원취집재일기시가이해석적,종이험증료이용사단검측산법알굴출적사단적합이성.
The existing studies of Wikipedia knowledge network only focused on the macro level, to dig deeper into Wikipedia finer-grained domain knowledge,adopt the method of complex networks to analyze the characters'relationship knowledge network extracted from Wikipedia.Several parameters of the network are calculated,and the network's characteristics of small world and scale-free are studied.It finds the characters' relationship knowledge network is a typical complex network,and the network has feature which is similar to other social networks.Then, explore key nodes of the network, find that the richness of the content in line with man's interest.Finally, communities of the network have been detected, results demonstrate that the members of the same community together can be explained,thus verify the rationality of community detection algorithm.