期刊文献+

网络信息传播动力学建模研究 被引量:9

Dynamical Modeling of Information Diffusion on Internet
原文传递
导出
摘要 对网络传播机理建模是利用或控制网络传播的基础。网络信息传播系统具有复杂的动力学特征,其中的个体行为具有适应性。采用社会物理学研究思路,借鉴物理学振动传播的概念,对网络传播系统中各动力学因子进行了类比定义。根据动力学因子对网民传播行为的影响机理,建立具有随机性和适应性的网民信息传播微观动力学模型,使微观个体行为与宏观的系统状态关联起来。在此基础上构建仿真模型,通过仿真实验分析了网络传播系统S型函数的非线性演化特征,为类似系统的建模提供了新思路。 Modeling the mechanism of information diffusion is the basis of network diffusion utilizing and controlling. The diffusion of information on the Internet is with dynamical complexity, and the individual behavior is adaptive. Adopting the thinking in social physics, the dynamic factors in the information diffusion system on the analog of the spread of vibration in physics was defined. Then the microscopic dynamic model of net user’s randomicity and adaptability behavior was quantitatively built based on the mechanism of dynamic factor taking effect on the behavior of net users. In this way, the microscopic behavior was associated with system evolution at macro level. Simulation software was developed based on those models. The S_shape nonlinear evolution characteristics of information diffusion on the Internet with computing experiments were analyzed. This solution may be used in modeling similar systems.
出处 《系统仿真学报》 CAS CSCD 北大核心 2010年第11期2511-2514,2518,共5页 Journal of System Simulation
基金 国家自然科学基金(71073172 60774035 60874086)
关键词 信息传播 社会物理学 微观动力学 建模 information diffusion social physics microcosmic dynamics modeling and simulation
  • 相关文献

参考文献10

  • 1牛文元.社会物理学:学科意义与应用价值[J].科学,2002,54(3):32-35. 被引量:33
  • 2John H Clippingcr. A Crowd of One: The Future of Individual Identity [M]. New York, USA: Baker & Taylor Books, 2007.
  • 3Stauffer D. Opinion dynamics and sociophysics [EB/OL]. (2007-5-7) http://arixv, org/abs.0705.0891vl.
  • 4Stauffer D, De Oluveira S, De Oliveira PMC, et al. Biology, geology, sociology by computational physicist [M]. Amsterdam, The Netherlands: Elsevir, 2006.
  • 5Stauffer D. Sociophysics simulations II: Opinion Dynamics [C]// AIP Conference Proceedings, Granada, Spain, 2005, 779: 56-68.
  • 6Pluchino A, Latora V, Rapisarda A, Changing Opinion in a Changing World: a New Persepective in Sociophysics [J]. International Journal of Modem Physics C (S0129-1831), 2005, 16(4): 515-531.
  • 7Minsky M. Society of Mind [EB/OL]. (1988-03-15) http://www.ebookee.net/Society-of-Mind 201272. html.
  • 8R L Flood, E R Carson. Dealing with Compleity [M]. New York, USA: Plenum Press, 1993: 19-20.
  • 9贺筱媛,胡晓峰,罗批.基于Agent和CPN的Web信息传播系统建模研究[J].系统仿真学报,2010,22(3):715-719. 被引量:3
  • 10埃弗雷特·M·罗杰斯.创新的扩散[M].北京:中央编译出版社,2002..

二级参考文献7

  • 1Dodds P S, Watts D J. Universal behavior in a generalized model of contagion [J]. Phys. Rev. Lett. (S0031-9007), 2004, 92(21): 218-701.
  • 2Jin Q, Yano Y, Sugasawa Y. Modeling and Analysis of Agents' Probabilistic Behavior by a Non-Regenerative Stochastic [C]//IEEE International Conference on SMC, 1996. USA: IEEE, 1996.
  • 3Haiping Xu, Sol M Shatz. An Agent-based Petri Net Model with Application to Seller/Buyer Design in Electronic Commerce [C]// Proceedings of 5th IEEE International Symposium on Autonomous Decentralized Systems, 2001. USA: IEEE, 2001: 11-18.
  • 4Hiraishi K. A Petri-net-based Model for the Mathematical Analysis of Multi-agent Systems [C]// Proceedings of SMC, 2000. USA: IEEE, 2000: 3009-3014.
  • 5Abouaissa H, Nicolas J C, Czesnalowicz E. Formal Specification of Multi-Agent Systems: Approach based on Meta-Nets-Case Study of a Transportation System [C]// Proceedings of IEEE International Conference on SMC, 2002. USA: IEEE, 2002.
  • 6Albert R, Jeong H, Barabaisi A L. Diameter of the World-Wide Web [J]. Nature (S0028-0836), 1999, 401: 130-31.
  • 7范玉顺.工作流管理技术及其应用[M].北京:清华大学出版社,2001..

共引文献63

同被引文献116

引证文献9

二级引证文献54

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部