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Diffusion bank networks and capital flows

Leventidis, Ioannis; Melas, Evangelos - In: Mathematics and financial economics 15 (2021) 4, pp. 811-845

Persistent link: https://www.econbiz.de/10012616859

Network robustness and residual closeness

Aytaç, Aysun; Berberler, Zeynep Nihan Odabaş - In: RAIRO / Operations research 52 (2018) 3, pp. 839-847

Persistent link: https://www.econbiz.de/10011987194

Efficient dynamic barter exchange

Anderson, Ross; Ashlagi, Itai; Gamarnik, David; … - In: Operations research 65 (2017) 6, pp. 1446-1459

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Determinants of cross-regional R&D collaboration networks : an application of exponential random graph models

Brökel, Tom; Hartog, Matté - 2013

.g. geographical distance between regions). ERGMs represent a new set of network analysis techniques that have been developed in recent … determinants at the structural network level while still only requiring cross-sectional network data. The usefulness of ERGMs is … illustrated by an empirical study on the structure of the cross-regional R and D collaboration network of the German chemical …

Persistent link: https://www.econbiz.de/10011303801

The degree ratio ranking method for directed networks

Brink, René van den; Rusinowska, Agnieszka - 2019

One of the most famous ranking methods for digraphs is the ranking by Copeland score. The Copeland score of a node in a digraph is the difference between its outdegree (i.e. its number of outgoing arcs) and its indegree (i.e. its number of ingoing arcs). In the ranking by Copeland score, a node...

Persistent link: https://www.econbiz.de/10012023971