NWS volume 9 issue S1 Cover and Back matter

original Articles Gradient and Harnack-type estimates for PageRank paul horn and lauren m. nelsen S4 Learning to count: A deep learning framework for graphlet count estimation xutong liu, yu-zhen janice chen, john c. s. lui and konstantin avrachenkov S23 On the impact of network size and average degree on the robustness of centrality measures christoph martin and peter niemeyer S61 Isolation concepts applied to temporal clique enumeration hendrik molter, rolf niedermeier and malte renken S83 A simple differential geometry for complex networks emil saucan, areejit samal and jürgen jost S106 Sampling methods and estimation of triangle count distributions in large networks nelson antunes, tianjian guo and vladas pipiras S134 Logic and learning in network cascades galen j.wilkerson and sotiris moschoyiannis S157 network science editorial team