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Some measures to detect the influencer on social network based on information propagation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244239" target="_blank" >RIV/61989100:27240/19:10244239 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/19:10244239

  • Result on the web

    <a href="https://dl.acm.org/doi/abs/10.1145/3326467.3326475?casa_token=HR9r9OwIyHcAAAAA:LqY_WAqiIKIKaZgvlDXs0x4ozVC7I4VFLKw9MjHOcA09loFS-aw7f-atRgkoYzLDG0yoLjVmvTI--A" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3326467.3326475?casa_token=HR9r9OwIyHcAAAAA:LqY_WAqiIKIKaZgvlDXs0x4ozVC7I4VFLKw9MjHOcA09loFS-aw7f-atRgkoYzLDG0yoLjVmvTI--A</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3326467.3326475" target="_blank" >10.1145/3326467.3326475</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Some measures to detect the influencer on social network based on information propagation

  • Original language description

    Determining the influencer for a brand plays an important role in the influence marketing. The influencer makes a brand approaching goal customers easily and quickly. There are many current methods to measure the influence of a user. In this paper, a model for representing a social network is presented. It includes two main objects: users and tags. This model can represent relationship between these objects clearly. Besides that, some influence measures are proposed. They represent the ability of the influence on other people by relationships between users and the concern to user&apos;s tags, as well as the speed of the user&apos;s tag propagation on the social network. Based on them, the problem about determining the influencer of a specific brand on a social network is solved. Our method is tested in practice and gets some positive results. (C) 2019 ACM.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ACM International Conference Proceeding Series 2019

  • ISBN

    978-1-4503-6190-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    "neuvedeno"

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Soul

  • Event date

    Jun 26, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article