本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2012
摘要
We use a standard discrete-time linear Gaussian model to analyze the 資訊 storage capability of individual nodes in complex 網絡s, given the 網絡 structure and link weights. In particular, we investigate the role of two- and three-node motifs in contributing to local 資訊 storage. We show analytically that directed feedback and feedforward loop motifs are the dominant contributors to 資訊 storage capability, with their weighted motif counts locally positively correlated to storage capability. We also reveal the direct local relationship between clustering coefficient(s) and 資訊 storage. These results explain the dynamical importance of clustered structure and offer an explanation for the prevalence of these motifs in 生物 and artificial 網絡s.
※ 此為已發表論文，全文需透過期刊付費取得