AI 中文总结
研究社交网络中多数错觉的脆弱性，通过考虑主体观点随时间变化的网络及规模增大的随机图序列两种情况，发现多数错觉在多数更新下会消失，且出现可能性趋于零。
AI 中文摘要
社交网络中的多数错觉是指一个主体的多数邻居持有某种观点，而网络中的多数主体持有另一种观点。我们研究多数错觉的脆弱性，即错觉是否会因底层网络的变化而持续存在。我们考虑两种情况。首先，研究主体观点随时间变化的网络，发现多数错觉在多数更新下会消失。其次，研究规模不断增大的大型随机图序列，表明多数错觉出现的可能性趋于零。
英文摘要
A majority illusion in a social network occurs when the majority of neighbors of an agent has a certain opinion while the majority of agents in the network has another opinion. We study the fragility of majority illusions, that is, whether illusions persist as a result of changes in the underlying network. We consider two settings. First, we study networks where agents have opinions that change over time and find that majority illusions disappear under majority updates. Second, we study sequences of large random graphs of which the size increases, and show that the likelihood of majority illusions goes to zero.
