Gene

Quantum mechanics

Function (biology)

World Wide Web

Scale (ratio)

Biology

Node (physics)

Convergence (economics)

Degree (music)

Economics

Data mining

Computer science

Acoustics

Relation (database)

Computer network

Genetics

Physics

Mathematics

Index (typography)

Asynchronous communication

Transcription factor

Measure (data warehouse)

Combinatorics

Repressor

Economic growth

Operator (biology)

Topology (electrical circuits)

Nature Communications

Identifying influential nodes in dynamical processes is crucial in understanding network structure and function. Degree, H-index and coreness are widely used metrics, but previously treated as unrelated. Here we show their relation by constructing an operator , in terms of which degree, H-index and coreness are the initial, intermediate and steady states of the sequences, respectively. We obtain a family of H-indices that can be used to measure a node's importance. We also prove that the convergence to coreness can be guaranteed even under an asynchronous updating process, allowing a decentralized local method of calculating a node's coreness in large-scale evolving networks. Numerical analyses of the susceptible-infected-removed spreading dynamics on disparate real networks suggest that the H-index is a good tradeoff that in many cases can better quantify node influence than either degree or coreness.

The H-index of a network node and its relation to degree and coreness