首页> 美国卫生研究院文献>Scientific Reports >Contagion on complex networks with persuasion
【2h】

Contagion on complex networks with persuasion

机译:有说服力的复杂网络传播

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in social networks and introduce a persuasion mechanism into the threshold model. Specifically, we study a combination of adoption and persuasion in cascading processes on complex networks. It is found that with the introduction of the persuasion mechanism, the system may become more vulnerable to global cascades, and the effects of persuasion tend to be more significant in heterogeneous networks than those in homogeneous networks: a comparison between heterogeneous and homogeneous networks shows that under weak persuasion, heterogeneous networks tend to be more robust against random shocks than homogeneous networks; whereas under strong persuasion, homogeneous networks are more stable. Finally, we study the effects of adoption and persuasion threshold heterogeneity on systemic stability. Though both heterogeneities give rise to global cascades, the adoption heterogeneity has an overwhelmingly stronger impact than the persuasion heterogeneity when the network connectivity is sufficiently dense.
机译:阈值模型已被广泛用作研究社交网络上传染过程的经典模型。我们考虑社交网络中不对称的个体互动,并将说服机制引入阈值模型。具体来说,我们在复杂网络的级联过程中研究采用和说服的结合。结果发现,随着说服机制的引入,该系统可能更容易受到全局级联的影响,并且说服力的影响在异构网络中比同质网络中更明显:异构网络和同质网络之间的比较表明:在弱说服力下,异构网络比同质网络更能抵抗随机冲击。而在强有力的说服力下,同质网络会更稳定。最后,我们研究了采用和说服阈值异质性对系统稳定性的影响。尽管这两种异质性都会导致全局级联,但是当网络连接足够密集时,采用异质性比说服异质性具有压倒性的强大得多。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号