In this paper, we study the process of opinion dynamics and consensus building in online collaboration systems, in which users interact with each other following their common interests and their social profiles. Specifically, we are interested in how users similarity and their social status in the community, as well as the interplay of those two factors, influence the process of consensus dynamics. For our study, we simulate the diffusion of opinions in collaboration systems using the well-known Naming Game model, which we extend by incorporating an interaction mechanism based on user similarity and user social status. We conduct our experiments on collaborative datasets extracted from the Web. Our findings reveal that when users are guided by their similarity to other users, the process of consensus building in online collaboration systems is delayed. A suitable increase of influence of user social status on their actions can in turn facilitate this process. In summary, our results suggest that achieving an optimal consensus building process in collaboration systems requires an appropriate balance between those two factors.

中文翻译：

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在线协作系统中的共识动态。


在本文中，我们研究了在线协作系统中意见动态和共识建立的过程，在该系统中，用户根据共同兴趣和社交档案相互交互。具体来说，我们感兴趣的是用户的相似性和他们在社区中的社会地位，以及这两个因素的相互作用如何影响共识动态过程。在我们的研究中，我们使用著名的命名游戏模型来模拟协作系统中意见的传播，我们通过结合基于用户相似性和用户社会地位的交互机制来扩展该模型。我们对从网络中提取的协作数据集进行实验。我们的研究结果表明，当用户受到与其他用户的相似性的指导时，在线协作系统中建立共识的过程就会被延迟。适当增加用户社会地位对其行为的影响力反过来又可以促进这一过程。总之，我们的结果表明，在协作系统中实现最佳的共识构建过程需要在这两个因素之间取得适当的平衡。