Diffusion Pattern Analysis

Diffusion Pattern Analysis is a methodological framework within trend detection that identifies and models the spatiotemporal spread of innovations, ideas, or behaviors across networks by distinguishing characteristic propagation dynamics from background noise and external influences.

108

Publications

7.2K

Citations

366

Authors

197

Institutions

Publications per year

2017–2026

31

Authors

366

  1. RN
    R. N. Şener

    Ege University, Türkiye

    4 publications · 129 citations

    4

    h-index

  2. CN
    Charles Nicholson

    New York University, United States

    4 publications · 350 citations

    4

    h-index

  3. LW
    Lilian Weng

    Indiana University Bloomington, United States

    2 publications · 223 citations

    2

    h-index

  4. BA
    Bernardo A. Huberman

    Palo Alto Research Center, United States

    2 publications · 413 citations

    2

    h-index

  5. JD
    Jalal D. Akhavein

    Federal Reserve Board of Governors, United States

    2 publications · 93 citations

    2

    h-index

1–5 of 366

Venues

  1. PubMed

    Repository · 6 publications · 262 citations

    6

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 399 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 53 citations

    2

    h-index

  4. Brain Research

    2 publications · 37 citations

    2

    h-index

  5. 2

    h-index

1–5