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图数据挖掘在社交网络的应用研究

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社交网络数据的复杂性为数据挖掘带来严峻的考验,对于数据的复杂性,在社交网络中使用具有针对性的处理方法显得尤为重要。图数据挖掘依据图数据关系,可以很好地利用其本有的优势来开发和分析这类互相联系紧密的实体联系的复杂数据。该文根据图数据挖掘的特性和图数据挖掘的处理方式,首先介绍了图数据挖掘方面的若干定义、计算模型以及在图数据挖掘方面的处理系统;然后介绍了图数据挖掘的应用,主要包括图数据库的相关内容以及图数据算法等;最后,从整体上简要介绍了社交网络的发展情况以及图数据挖掘与社交网络的的不同模型不同的结合过程和处理方法。
Research on Application of graph data mining in social networks
The complexity of the social network data test for data mining,for the complexity of the data where in a social network using targeted treatment method is particularly important.Graph according to the relationship between data,data mining can make good use of its natural advantages to develop and analyze this kind of complex data entity connected closely linked.In this paper,it according to the characteristics of chart data mining and the approach of data mining.First of all,introduces the figure of data mining techniques of definition,and calculation model and processing system in chart data mining;Then introduces the application of graph data mining,mainly include the figure related content of the database and graph data algorithm,etc.;Finally, the whole describe of briefly introduced the development of social network and graph data mining and social network of the different model of combination for process and the processing method.

Graph data mining algorithmGraph databaseMapReduceNeo4JFrequent pattern

闫朋、高建瓴

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贵州大学计算机科学与技术学院

贵州大学大数据学院

图数据挖掘算法 图数据库 MapReduce Neo4J 频繁模式

贵州省科学技术基金

黔科合J字[2015]2045

2016

电子世界
中国电子学会 北京思得易咨询中心

电子世界

影响因子:0.238
ISSN:1003-0522
年,卷(期):2016.(8)
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