论文标题
太大了：在真正的大型大学 - 工业合作网络中探索结构代理
Too big to see: exploring proxies of structure in a real large-scale university-industry cooperation network
论文作者
论文摘要
我们研究了2模式现实世界 - 大学 - 行业合作网络的静态和动态拓扑。由于其尺寸较大和复杂的结构，我们选择为此目标使用统计代理。在研究结果中，我们将注意具有功率定律签名对数线性行为的公司节点学位的等级大小分布。它调用复杂网络体系结构的提示，作为与随机情况的对立面。我们将两种模式的等级尺寸分布与其他现实世界2模式大型网络进行比较，并为其原因划分相似之处。此外，我们通过以滚动窗口方式计算罗宾斯 - 亚历山大聚类系数来研究网络中的结构变化，以捕获网络时间演化中的拓扑变化。研究结果表明，在高聚类和互相关的短期过渡阶段实现网络稳定性。
We investigate static and dynamic topologies of a 2-mode real world university-industry cooperation network. Due to its large size and complex structure, we choose to use statistical proxies for this goal. Among the findings, we shall call attention to the rank-size distribution of the firm node degrees with power law signature log-linear behavior. Which invokes hints of a complex network architecture, as a counterpoint to the random case. We compare furthermore the rank-size distributions of both modes with other real-world 2-mode large-scale networks and draw parallels for their causes. Moreover, we investigate structural change in the network by computing Robins-Alexander clustering coefficients in a rolling window fashion in order to capture topological change in the network temporal evolution. Findings suggest that network stability is achieved after a short transition phase of high clustering and cross-correlation.
