Generalization of effective conductance centrality for egonetworks

• Published in: Physica A 2018-12, Vol.511, p.127-138
• Main Authors: Shakeri, Heman, Moradi-Jamei, Behnaz, Poggi-Corradini, Pietro, Albin, Nathan, Scoglio, Caterina
• Format: Article
• Language: English
• Subjects: Effective conductance; Egonetworks; Energy of family of walks; Modulus; Shell degree
• ISSN: 0378-4371; 1873-2119
• DOI: 10.1016/j.physa.2018.07.039

We study the popular centrality measure known as effective conductance or in some circles as information centrality. This is an important notion of centrality for undirected networks, with many applications, e.g., for random walks, electrical resistor networks, epidemic spreading, etc. In this paper, we first reinterpret this measure in terms of modulus (energy) of families of walks on the network. This modulus centrality measure coincides with the effective conductance measure on simple undirected networks, and extends it to much more general situations, e.g.,directed networks as well. Secondly, we study a variation of this modulus approach in the egocentric network paradigm. Egonetworks are networks formed around a focal node (ego) with a specific order of neighborhoods. We propose efficient analytical and approximate methods for computing these measures on both undirected and directed networks. Finally, we describe a simple method inspired by the modulus point-of-view, called shell degree, which proved to be a useful tool for network science. •Effective conductance centrality is generalized using modulus of families of walks.•Modulus is a flexible tool for analysis of undirected/directed networks.•Ego-networks are increasingly popular due to their ease of data collection.•We extend effective conductance measures to directed and ego networks.•Analytical solutions are offered for egocentric effective conductance centrality.•Effortless improvements to degree are offered to include higher-order neighborhoods.