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Information dissemination in scale-free hypernetwork with variable local-world.

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Title: Information dissemination in scale-free hypernetwork with variable local-world.
Authors: Chen, Zhenfu1 (AUTHOR), Lv, Jinyang1 (AUTHOR), Wei, Liang2 (AUTHOR), Li, Faxu1 (AUTHOR)
Source: Computer Journal. Mar2026, Vol. 69 Issue 3, p561-572. 12p.
Subjects: Information dissemination, Scale-free network (Statistical physics), Social networks, Social psychology, Mean field theory, Epidemiological models
Abstract: With the continuous progress of Internet technology and the popularization of social platforms, the speed and scope of information dissemination have become more rapid and extensive. We proposed a variable local-world scale-free hypernetwork model, so that the establishment of new connections can be more in line with the evolution mechanism of the real social network. Theory and simulation prove that hyperdegree distribution is not affected by the neighbor order, and the theory agrees with the simulation. Combining the SIS model based on the reaction process (RP) strategy and the mean-field theory, we derive a theoretical expression for the density of informed nodes in steady state. The effects of hypernetwork structure parameters and dissemination parameters on information dissemination under two strategies are comparatively analyzed through simulation experiments. Most noteworthy, as neighbor order |$n$| increases, it decreases the information dissemination rate under RP strategy and increases the information dissemination rate under contact process strategy, but both steady-state values remain the same. The results of the study provide a new perspective for a deeper understanding of the establishment of new relationships and information dissemination in social networks, as well as a theoretical basis for other practical applications that require local-world preference of connections. [ABSTRACT FROM AUTHOR]
Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Information dissemination in scale-free hypernetwork with variable local-world.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Journal%22">Computer Journal</searchLink>. Mar2026, Vol. 69 Issue 3, p561-572. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Information+dissemination%22">Information dissemination</searchLink><br /><searchLink fieldCode="DE" term="%22Scale-free+network+%28Statistical+physics%29%22">Scale-free network (Statistical physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Social+psychology%22">Social psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Mean+field+theory%22">Mean field theory</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiological+models%22">Epidemiological models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the continuous progress of Internet technology and the popularization of social platforms, the speed and scope of information dissemination have become more rapid and extensive. We proposed a variable local-world scale-free hypernetwork model, so that the establishment of new connections can be more in line with the evolution mechanism of the real social network. Theory and simulation prove that hyperdegree distribution is not affected by the neighbor order, and the theory agrees with the simulation. Combining the SIS model based on the reaction process (RP) strategy and the mean-field theory, we derive a theoretical expression for the density of informed nodes in steady state. The effects of hypernetwork structure parameters and dissemination parameters on information dissemination under two strategies are comparatively analyzed through simulation experiments. Most noteworthy, as neighbor order |$n$| increases, it decreases the information dissemination rate under RP strategy and increases the information dissemination rate under contact process strategy, but both steady-state values remain the same. The results of the study provide a new perspective for a deeper understanding of the establishment of new relationships and information dissemination in social networks, as well as a theoretical basis for other practical applications that require local-world preference of connections. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/comjnl/bxaf131
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 561
    Subjects:
      – SubjectFull: Information dissemination
        Type: general
      – SubjectFull: Scale-free network (Statistical physics)
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Social psychology
        Type: general
      – SubjectFull: Mean field theory
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      – SubjectFull: Epidemiological models
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      – TitleFull: Information dissemination in scale-free hypernetwork with variable local-world.
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            NameFull: Lv, Jinyang
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            NameFull: Wei, Liang
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              M: 03
              Text: Mar2026
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              Y: 2026
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