• 查询稿件
  • 获取最新论文
  • 知晓行业信息
官方微信 欢迎关注

基于和声算法的微博传播预测研究

吴婷

吴婷. 基于和声算法的微博传播预测研究[J]. 铁路计算机应用, 2016, 25(2): 12-15.
引用本文: 吴婷. 基于和声算法的微博传播预测研究[J]. 铁路计算机应用, 2016, 25(2): 12-15.
WU Ting. Micro blog communication prediction based on Harmony Search Algorithm[J]. Railway Computer Application, 2016, 25(2): 12-15.
Citation: WU Ting. Micro blog communication prediction based on Harmony Search Algorithm[J]. Railway Computer Application, 2016, 25(2): 12-15.

基于和声算法的微博传播预测研究

详细信息
    作者简介:

    吴婷,在读硕士研究生。

  • 中图分类号: TP39

Micro blog communication prediction based on Harmony Search Algorithm

  • 摘要: 微博信息传播预测研究已成为广大学者研究的重点,而微博转发是其中一个关键机制。本文结合传统的传染病模型,融入外来用户影响因子,得到改进的微博预测SIRE模型。通过对比SISe模型, SIRE模型能够更好地拟合和预测微博转发规律。从算法性能上通过对比和声算法、粒子群算法、遗传算法,结果表明,采用和声算法进行微博转发预测模型参数寻优,其性能最佳,并能很好地表征微博传播趋势。
    Abstract: The research on micro blog communication prediction was a hot spot. Micro blog forwarding was one of the key mechanisms. On the basis of traditional infectious diseases model, an improved SIRE model was proposed through integrating into the foreign user impact factor. Comparing with the SISe model, SIRE model could be used to fit well and forecast the micro blog forwarding rule. Comparing with Harmony Algorithm, the Particle Swarm Algorithm and Genetic Algorithm, Harmony Algorithm was used for parameters optimization of micro blog forwarding prediction model, its performance was the best, it could characterize the tread of micro blog communication.
  • [1] 易成岐,鲍媛媛,薛一波,等 . 新浪微博的大规模信息传播规律研究 [J]. 计算机科学与探索,2013,7(6) :551-560.
    [2] Wang H, Li Y, Feng Z, et. al. ReTweeting Analysis and Prediction in Microblogs: An Epidemic Inspired Approach[J]. China Communication, 2013,10 (3): 13-24.
    [3] Watts D J, Strogatz S H. Collective dynamics of‘small-world’ networks[J]. Nature, 1998, 393(6684): 440-442.
    [4] Chakrabarti D, Wang Y, Wang C, et al. Epidemic thresholds in real networks. ACM Trans[J]. 2008,10 (4).
    [5] Li Y, Feng Z, Wang H, et al, ReTweetp: Modeling and Predicting Tweets Spread Using an Extended Susceptible-InfectedSusceptible Epidemic Model[J]. 2013(2): 454-457.
    [6] M. Cha, H. Haddadi, F. Benevenuto, et al. Measuring User Influence in Twitter: The Million Follower Fallacy[C]. In Fourth International AAAI Conference on Weblogs and Social Media, 2010.
    [7] Yang J, Counts S. Predicting the speed, scale and range of information diffusion in Twitter[C]. Association for the Advancement of Artificial Intelligence, 2010: 355-358.
    [8] 欧阳海滨,高立群,邹德旋,等 . 和声搜索算法探索能力研究及其修正 [J]. 控制理论与应用,2014,31(1):57- 65.
    [9] KERMACK W O, MCKENDRICK A G. Contributions to the Mathematical Theory of Epidemics. II. The Problem of Endemicity[J]. Bulletin of Mathematical Biology, 1991, 53(1/2): 57-87.
    [10] 余胜威,曹中清 . 基于人群搜索算法的 PID 控制器参数优化 [J]. 计算机仿真,2014,31(9):347-350.
计量
  • 文章访问数:  76
  • HTML全文浏览量:  0
  • PDF下载量:  41
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-06-08
  • 刊出日期:  2016-02-24

目录

    /

    返回文章
    返回