Speech Network Analysis

Speech Network Analysis is a methodological framework within sociolinguistics that examines the structural relationships and interaction patterns among speakers in a speech community to identify how linguistic variation and change are influenced by social connectivity.

23

Publications

4.4K

Citations

93

Authors

51

Institutions

Publications per year

2017–2026

8

Authors

93

  1. JA
    Jesse A. Brown

    University of California, San Francisco, United States

    1 publications · 68 citations

    1

    h-index

  2. WB
    Werner Botha

    Nanyang Technological University, Singapore

    1 publications · 24 citations

    1

    h-index

  3. AE
    Ariane E. Welch

    University Memory and Aging Center, United States

    1 publications · 68 citations

    1

    h-index

  4. VF
    Valerie Fridland

    University of Nevada, Reno, United States

    1 publications · 59 citations

    1

    h-index

  5. AA
    Agessandro Abrahão

    Sunnybrook Health Science Centre, Canada

    1 publications · 12 citations

    1

    h-index

1–5 of 93

Venues

  1. Schizophrenia Bulletin

    2 publications · 55 citations

    2

    h-index

  2. Language

    2 publications · 3.2K citations

    2

    h-index

  3. World Englishes

    WE · 1 publications · 24 citations

    1

    h-index

  4. Cortex

    1 publications · 68 citations

    1

    h-index

  5. Brain and Language

    1 publications · 22 citations

    1

    h-index

1–5