论文标题
用于全面模拟DBLP中协作的分布式超图模型
A distributed hypergraph model for the full-scale simulation of the collaborations in dblp
论文作者
论文摘要
这项研究提出了一个模型，为DBLP数据集中的协作动态提供了全面模拟。这是一个分布式模型，具有模拟大型超图的能力，即具有多种多数关系的系统。其Hyperedges的装配机制是由Lotka的定律和合作游戏驱动的，可最大程度地提高合作福利成本比率。该模型建立在一个圆圈上以表达游戏，以节点之间的距离表示成本。与生产研究人员或与许多合着者合行的好处是通过节点的累积程度或高度表达的。该模型成功捕获了DBLP数据集中出现的协作模式的多模式，并重现了协作模式，程度，超级，高度，聚类和巨型组件的进化趋势，三十年来非常好。该模型有可能扩展，以了解主要由特定合作游戏驱动的自组织系统的复杂性，并能够预测系统节点的行为模式。
This study proposed a model to give a full-scale simulation for the dynamics of the collaborations in the dblp dataset. It is a distributed model with the capability of simulating large hypergraphs, namely systems with heterogeneously multinary relationship. Its assembly mechanism of hyperedges is driven by Lotka's law and a cooperative game that maximizes benefit-cost ratio for collaborations. The model is built on a circle to express the game, expressing the cost by the distance between nodes. The benefit of coauthoring with a productive researcher or one with many coauthors is expressed by the cumulative degree or hyperdegree of nodes. The model successfully captures the multimodality of collaboration patterns emerged in the dblp dataset, and reproduces the evolutionary trends of collaboration pattern, degree, hyperdegree, clustering, and giant component over thirty years remarkably well. This model has the potential to be extended to understand the complexity of self-organized systems that evolve mainly driven by specific cooperative games, and would be capable of predicting the behavior patterns of system nodes.
