Publication:

Fast influencers in complex networks

Date

Date

Date
2019
Journal Article
Published version

Citations

Citation copied

Zhou, F., Lü, L., & Mariani, M. (2019). Fast influencers in complex networks. Communications in Nonlinear Science and Numerical Simulation, 74, 69–83. https://doi.org/10.1016/j.cnsns.2019.01.032

Abstract

Abstract

Abstract

Influential nodes in complex networks are typically defined as those nodes that maximize the asymptotic reach of a spreading process of interest. However, for practical applications such as viral marketing and online information spreading, one is often interested in maximizing the reach of the process in a short amount of time. The traditional definition of influencers in network-related studies from diverse research fields narrows down the focus to the late-time state of the spreading processes, leaving the following question unsolve

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
74

Page range/Item number

Page range/Item number

Page range/Item number
69

Page end

Page end

Page end
83

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2019-03-06

Date available

Date available

Date available
2019-06-13

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1007-5704

OA Status

OA Status

OA Status
Closed

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:17704

Citations

Citation copied

Zhou, F., Lü, L., & Mariani, M. (2019). Fast influencers in complex networks. Communications in Nonlinear Science and Numerical Simulation, 74, 69–83. https://doi.org/10.1016/j.cnsns.2019.01.032

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