高度连接-成功的秘诀
Highly connected - a recipe for success
摘要：
在本文中，我们从建模的角度来解决创新传播的问题。我们考虑一个网络系统的个人，两个群体之间的竞争。我们展示了它与创新传播问题的关系。我们介绍了一个抽象的模型，并展示了如何在这个框架中解释它，以及我们可以从中得出什么结论。我们进一步解释了模型导出的结论如何有助于研究原始问题，以及其他类似的问题。该模型是一个基于代理的模型，假设这些代理的简单的二进制属性。它使用了多数动态（确切地说是伊辛模型），这意味着个体试图与大多数同龄人相似，除非偶尔纯粹的个人决定被建模为随机的。我们发现，这种简单的模型可以与创新采用过程中的决策。模型的多数动态意味着，当一个代表现有实践或解决方案的主导属性已经建立时，它将在系统中持续存在。然而，我们发现，在两组竞争中，代表创新用户的较小的组仍然可以说服较大的组，如果它具有较高的自我支持。我们认为，这一结论，虽然从一个简单的模型，可以应用到创新传播的实际情况。我们还表明，该模型可以用不同的方式来解释，让不同的问题从我们的结论中受益。
英文摘要：
In this paper, we tackle the problem of innovation spreading from a modeling point of view. We consider a networked system of individuals, with a competition between two groups. We show its relation to the innovation spreading issues. We introduce an abstract model and show how it can be interpreted in this framework, as well as what conclusions we can draw form it. We further explain how model-derived conclusions can help to investigate the original problem, as well as other, similar problems. The model is an agent-based model assuming simple binary attributes of those agents. It uses a majority dynamics (Ising model to be exact), meaning that individuals attempt to be similar to the majority of their peers, barring the occasional purely individual decisions that are modeled as random. We show that this simplistic model can be related to the decision-making during innovation adoption processes. The majority dynamics for the model mean that when a dominant attribute, representing an existing practice or solution, is already established, it will persists in the system. We show however, that in a two group competition, a smaller group that represents innovation users can still convince the larger group, if it has high self-support. We argue that this conclusion, while drawn from a simple model, can be applied to real cases of innovation spreading. We also show that the model could be interpreted in different ways, allowing different problems to profit from our conclusions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
