摘要
社交网络中谣言的肆意传播给网络安全以及社会稳定带来了全新的挑战,如何科学地认识和掌握谣言传播、扩散的内在规律,并对谣言进行有效地控制具有非常重要的学术意义和社会意义。文章首先在充分分析目前谣言传播模型的基础上,引入谣言正向感染及负向感染两个感染状态,提出更适用于描述谣言传播的SPNR模型;其次,基于SPNR模型,设计谣言传播SPNR算法,实现谣言传播演化过程的仿真;另外,利用数值仿真的方法,分析了模型主要参数对谣言传播关键指标的影响效果,为制定有效的谣言控制策略提供了可靠的依据;最后,从定性和定量两个角度验证了SPNR模型基本假设的准确性,同时通过将SPNR模型模拟效果与新浪微博实证结果进行对比试验的方式,验证了SPNR谣言传播模型的适用性。
The malevolent spreading of rumors on social networks put forward a new challenge to the security of network and society. How to grasp the inherent laws of rumor propagation and propose effective control strategies for rumors has important practical significant. Firstly, based on the detailed analysis of epidemic spreading model, this paper proposes a more suitable rumor propagation model--SPNR by dividing infected states （I） into positive infected （P） and negative infected （N）. Secondly, based on the SPNR model, designs the algorithm for SPNR model and accomplishes the simulation of rumor propagation process. Thirdly, further analyzes the key factors of affecting the maximum value of steady state, the point of decline, and the life cycle of a rumor. These results have important significant in developing new rumor control strategies. Lastly, after evaluating the proposed model with simulations and comparing the simulation results with real data on Sina Weibo, the experimental results shows that the new model is effective for capturing the rumor spreading in real social networks.
出处
《信息网络安全》
2014年第1期5-9,共5页
Netinfo Security
基金
国家科技支撑计划项目[2012BAH42B04]
关键词
社交网络
谣言发现
谣言传播
控制策略
social networks
rumor identification
rumor propagation
rumor control
