Dong Yuxiao, Tang Jie, Chawla Nitesh V, Lou Tiancheng, Yang Yang, Wang Bai
Interdisciplinary Center for Network Science and Applications, Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America.
Department of Computer Science and Technology, Tsinghua University, Beijing, P. R. China.
PLoS One. 2015 Mar 30;10(3):e0119446. doi: 10.1371/journal.pone.0119446. eCollection 2015.
Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels--voice call, short message, and email--to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a "rich club" maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy.
社会地位被定义为个人在社会等级制度中所占据的相对等级或位置，它是社会行为中最重要的驱动力之一。在本文中，我们从一个人在企业中所担任的职位或头衔的角度来考虑地位的概念。我们研究企业中社会地位与社会网络的交叉点。我们研究企业通信日志是否有助于揭示社会互动和个人地位在社会网络中是如何体现的。为此，我们使用两个包含语音通话、短信和电子邮件这三种通信渠道的企业数据集，来展示不同地位个体之间的社会行为差异。我们有几个有趣的发现，并基于这些发现开发了一个预测社会地位的模型。在个体层面，高地位个体更有可能通过与企业网络中原本彼此联系不紧密的部分的人建立联系，而成为结构洞。在社区层面，同质性、社会平衡和小团体理论原则通常表明存在一个由高地位个体维持的“富人俱乐部”，从这个意义上说，这个社区的联系更加紧密、平衡且密集。我们的模型能够以93%的准确率预测个体的社会地位。
