Titlebook: Complex Networks & Their Applications V; Proceedings of the Hocine Cherifi,Sabrina Gaito,Alessandra Sala Conference proceedings 2017 Spri

注意

小官

https://doi.org/10.1007/978-3-540-68896-9sures of computing the pairwise similarity of paths, either simply based on the elements in the paths, their sequence, on the graph in which they are embedded, or incorporating all three features. Based on ground-truth in a data set concerning how people solve a one-player puzzle, we show that the c

Genteel

Stability of Queueing Networks,y, communication aspects, and so on. However, obtaining the number of spanning trees of networks and the study of their properties are computationally demanding, in particular for complex networks. In this paper, we introduce a family of small-world networks denoted .., characterized by dimension .,

有角

,Eröffnungsworte zum Josef-Stini-Kolloquium,op a metric to test for similarity between an inferred network and the true network. Our method uses the eigenvalues of the adjacency matrix and of the . at each step of the network discovery to decide on the comparison to the ground truth. We consider synthetic networks and real terrorist networks

cliche

evince

Testing for the signature of policy in online communitiesctable way, once community management practices are accounted for. We investigate the issue using empirical data on three small online communities and a computer model that simulates a widely used community management activity called on boarding. We find that the model produces in-degree distributio

摸索

instulate

ADJ

Preserving Sparsity in Dynamic Network Computationsommunicability, which leads to broadcast and receive centrality measures. We derive a new algorithm for computing time-dependent centrality that works with a sparsified version of the dynamic communicability matrix. In this way, the computation and storage requirements are reduced to those of a spar

安慰