揭示社会中的随机性和成功
Uncovering Randomness and Success in Society
摘要：
对个人如何塑造和影响社会演变的理解是非常有限的，因为无法获得大规模可靠的数据集，可以同时捕获有关个人运动和社会互动的信息。我们相信，流行的印度电影业，'宝莱坞'，可以提供一个社会网络适合这样的研究。宝莱坞提供了大量的真实的，无偏见的数据，跨越100多年，因此这个网络已被用作本文件的模型。与网络的其他节点保持适度或广泛合作的节点与其他节点相比往往更适合（以节点在行业中的成功来衡量）。在目前的工作中进行的分析，使用复杂网络理论和随机矩阵理论的联合框架，旨在量化的元素，确定一个单独的节点的健身和因素，有助于网络的鲁棒性。本文的作者认为，本文所采用的研究方法可以扩展到研究其他各种行业和组织。
英文摘要：
An understanding of how individuals shape and impact the evolution of society is vastly limited due to the unavailability of large-scale reliable datasets that can simultaneously capture information regarding individual movements and social interactions. We believe that the popular Indian film industry, 'Bollywood', can provide a social network apt for such a study. Bollywood provides massive amounts of real, unbiased data that spans more than 100 years, and hence this network has been used as a model for the present paper. The nodes which maintain a moderate degree or widely cooperate with the other nodes of the network tend to be more fit (measured as the success of the node in the industry) in comparison to the other nodes. The analysis carried forth in the current work, using a conjoined framework of complex network theory and random matrix theory, aims to quantify the elements that determine the fitness of an individual node and the factors that contribute to the robustness of a network. The authors of this paper believe that the method of study used in the current paper can be extended to study various other industries and organizations.
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。
