论文标题
部分可观测时空混沌系统的无模型预测
Opinion Diffusion and Campaigning on Society Graphs
论文作者
论文摘要
我们研究了竞选活动的影响，在该竞选活动中，社会被划分为选民集群，而扩散过程则传播了连接集群的网络中的观点。我们的模型非常强大，可以将许多竞选行动，社会的各种分区纳入群集以及非常普遍的扩散过程。也许令人惊讶的是，我们表明，即使在任意的选民中，计算最便宜的操纵特定选举的运动通常也可以有效地进行。此外，我们报告了某些计算模拟。
We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting the clusters. Our model is very powerful and can incorporate many campaigning actions, various partitions of the society into clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters. Moreover, we report on certain computational simulations.
