Hashtag Propagation

Hashtag Propagation is a computational social science construct that denotes the process by which a hashtag spreads across a networked community through user adoption and content sharing, distinguished by its focus on the dynamics, patterns, and mechanisms underlying the diffusion of specific hashtags within digital communication platforms.

19

Publications

2.1K

Citations

66

Authors

39

Institutions

Publications per year

2017–2026

7

Authors

66

  1. KK
    Krishna Kamath

    Texas A&M University, United States

    2 publications · 118 citations

    2

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  2. JC
    James Caverlee

    Texas A&M University, United States

    2 publications · 118 citations

    2

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  3. NG
    Niloy Ganguly

    Indian Institute of Technology Kharagpur, India

    2 publications · 30 citations

    2

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  4. ZC
    Zhiyuan Cheng

    Zhejiang University, China

    2 publications · 118 citations

    2

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  5. VB
    Vladimir Barash

    Cornell University, United States

    2 publications · 70 citations

    2

    h-index

1–5 of 66

Venues

  1. Social Network Analysis and Mining

    1 publications · 51 citations

    1

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  2. IEEE Access

    1 publications · 11 citations

    1

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  3. 1

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  4. Multimedia Tools and Applications

    1 publications · 23 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 20 citations

    1

    h-index

1–5