参考文献
[1]Watts D J,Strogatz S H.Collective Dynamics of Small-World Networks[J].Nature,1998,393(6684):440-442.
[2]Barabasi A L,Albert H J.Emergence of Scaling in Random Networks[J].Science,1999,286(5439):509-522.
[3]Price D J.Networks of Scientific Papers[J].Science,1965,149(3683):510-515.
[4]Bianconi G,Barabási A L.Bose-einstein Condensation in Complex Networks[J].Physical Review Letters,2001,86(24):5632-5635.
[5]van Raan A F J.On Growth,Ageing,and Fractal Differentiation of Science[J].Scientometrics,2000,47(2):347-362.
[6]Albert R,Barabási A L.Statistical Mechanics of Complex Networks[J].Reviews of Modern Physics,2002,74(2):47-97.
[7]蒋品群,罗晓曙,汪秉宏.一个新的演化网络模型中节点的吸引力研究[J].广西师范大学学报(自然科学版),2009,27(4):15-18.
[8]Holme P,Saramki J.Temporal Networks[J].Physics Reports,2012,519(3):97-125.
[9]Dorogovtsev S N,Mendes J F F,Samukhin A N.Structure of Growing Networks with Preferential Linking[J].Physical Review Letters,2000,85(21):4633-4636.
[10]陶少华,杨春,李慧娜.基于节点吸引力的复杂网络演化模型研究[J].计算机工程,2009,35(1):111-113.
[11]田生文,杨洪勇,李阿丽,等.基于聚类效应节点吸引力的复杂网络模型[J].计算机工程,2010,36(10):58-60.
[12]王瑞丽,蔡国永,林航.一种新的在线社会网络演化模型[J].计算机工程,2012,38(23):71-74.
[13]杨俊涛.基于兴趣值的适应度模型的研究[J].西南师范大学学报(自然科学版),2014,34(3):112-116.
[14]王晶,朱珂,汪斌强.基于用户社会属性及行为特征吸引度的微博粉丝网络演化模型[J].计算机应用,2013,33(10):2753-2756.
[15]袁博阳.基于微博内容和用户关注的微博用户兴趣模型构建[D].广州:华南理工大学,2015.
[16]雷兵,刘维.基于微博关注推荐服务的用户兴趣模型研究[J].情报科学,2015,33(9):126-130.
[17]杨福强.基于微博的个性化推荐问题研究[D].济南:山东师范大学,2015.
[18]徐晓彤.微博用户兴趣模型及个性化推荐技术研究与应用[D].大连:大连海事大学,2015.
[19]Myers S A,Zhu C,Leskovec J.Information Diffusion and External Influence in Networks[C]//Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2012:33-41.
[20]Liang Hong,Lu Gang,Xu Nanshan.Analyzing User Influence of Microblog[C]//Proceedings of the 5th International Conference on Advanced Computational Intelligence.Washington D.C.,USA:IEEE Press,2012:15-22.
[21]汪小帆.网络科学导论[M].北京:高等教育出版社,2012.
编辑陆燕菲 |