基于干扰相似度的多话题演化模型

doi:10.11959/j.issn.1000-0801.2017204

Abstract

Abstract:

The current researches of evolution model mainly focus on the spread of the individual topics,rarely considering the influential factors between multiple topics.A new topic evolution model was proposed by considering the interference among topics based on SIR model,which characterized by the influence of the similarity of the topic on the probability of propagation.The experimental results show that within the critical value,the similarity degree of positive and negative trends enhance or hinder the process of topic evolution,and the degree of action varies with the degree of interference nodes,which is expressed as evolutionary consistency under positive similarity and the evolutionary separability under negative similarity.When the critical value is exceeded,the effect of strengthening or hindering tends to saturation.

Key words: topic evolution, multiple topics, susceptible-infective-removal model, similarity of interference

CLC Number:

TP393

Yefei CHEN,Xuejun ZHANG,Weidong HUANG. Multiple topics evolution model based on similarity of interference[J]. Telecommunications Science, 2017, 33(9): 28-35.

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[1]	BLEI D M , LAFFERTY J D . Dynamic topic model[C]// The 23rd International Conference on Machine Learning,September 10-13,2006,Pittsburgh,PA,USA.[S.l.:s.n], 2006: 113-120.
[2]	单斌, 李芳 . 基于LDA话题演化研究方法综述[J]. 中文信息学报, 2010,24(6): 43-50.
	SHAN B , LI F . A survey of topic evolution based on LDA[J]. Journal of Chinese Information Processing, 2010,24(6): 43-50.
[3]	刘衍珩, 李飞鹏, 孙鑫 ,等. 基于信息传播的社交网络拓扑模型[J]. 通信学报, 2013,34(4): 1-9.
	LIU Y H , LI F P , SUN X ,et al. Social network model based on the transmission of information[J]. Journal on Communications, 2013,34(4): 1-9.
[4]	MENG X Z , ZHAO S N , FENG T ,et al. Dynamics of a novel nonlinear stochastic SIS epidemic model with double epidemic hypothesis[J]. Journal of Mathematical Analysis ＆ Applications, 2016,433(1): 227-242.
[5]	朱宪莹, 刘箴, 金炜 ,等. 基于特征融合的层次结构微博情感分类[J]. 电信科学, 2016,32(7): 106-114.
	ZHU X Y , LIU Z , JIN W ,et al. Hierarchical micro-blog sentiment classification based on feature fusion[J]. Telecommunications Science, 2016,32(7): 106-114.
[6]	钟杰, 陈兴蜀, 王文贤 ,等. 面向微博话题传播的重要节点测量研究[J]. 计算机应用研究, 2016,33(8): 2290-2293.
	ZHONG J , CHEN X S , WANG W X ,et al. Measurement study of topology structure and crucial nodes for spread of weibo topics[J]. Application Research of Computers, 2016,33(8): 2290-2293.
[7]	琚春华, 鲍福光, 戴俊彦 . 一种融入公众情感投入分析的微博话题发现与细分方法[J]. 电信科学, 2016,32(7): 97-105.
	JU C H , BAO F G , DAI J Y . Discovery and segmentation method in micro-log topics based on public emotional engagement analysis[J]. Telecommunications Science, 2016,32(7): 97-105.
[8]	ZANETTE D H . Dynamics of rumor propagation on small-world networks[J]. Physics, 2001,65(1): 110-126.
[9]	MORENO Y , NEKOVEE M , VESPIGNANI A . Efficiency and reliability of epidemic data dissemination in complex networks[J]. Physical Review E Statistical Nonlinear ＆ Soft Matter Physics, 2004,69(50): 1-4.
[10]	ZHOU J , LIU Z H , LI B W . Influence of network structure on rumor propagation[J]. Physics Letters A, 2007,368(6): 458-463.
[11]	张伟 . 基于复杂社会网络的网络舆情演化模型研究[D]. 哈尔滨:哈尔滨工业大学, 2014.
	ZHANG W . Models of the network public opinion dynamics on complex social networks[D]. Harbin:Harbin Institute of Technology, 2014.
[12]	孙立远, 管晓宏 . 在线社会网络多话题传播竞争特性的测量[J]. 清华大学学报(自然科学版), 2015,55(11): 1157-1162.
	SUN L Y , GUAN X H . Measurements of the competitive characteristics of multi-topic propagation in online social networks[J]. Journal Tsinghua University(Sci ＆Technol) , 2015,55(11): 1157-1162.
[13]	黄卫东, 林萍, 董怡 ,等. 基于话题特征词的网络舆情参与者情感演化分析[J]. 情报杂志, 2015(11): 117-122,144.
	HUANG W D , LIN P , DONG Y ,et al. Analysis on the feature words based evolution of netizens sentiments in network public topics[J]. Journal of Intelligence, 2015(11): 117-122,144.
[14]	WANG H , DENG L , XIE F ,et al. A new rumor propagation model on SNS structure[C]// IEEE International Conference on Granular Computing,Aug 11-13,2012,Hangzhou,China. New Jersey:IEEE Press, 2012: 499-503.
[15]	王辉, 韩江洪, 邓林 ,等. 基于移动社交网络的谣言传播动力学研究[J]. 物理学报, 2013,62(11): 98-109.
	WANG H , HAN J H , DENG L ,et al. Dynamics of rumor spreading in mobile social networks[J]. Acta Phys Sin, 2013,62(11): 98-109.

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条件	话题生命周期	有效传播率	传播峰值	峰值时间	系统稳定性
固定概率	80	0.98	0.45	20	39.2
ave =0.2	60	1	0.60	10	∞
ave=-0.2	180	0.65	0.22	40	1.86

Multiple topics evolution model based on similarity of interference

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