Digital Trace Analysis

Digital Trace Analysis is a methodological approach within digital ethnography that systematically examines residual, observable data left by individuals' online activities to infer social practices, behaviors, and cultural patterns, distinguished from broader ethnographic methods by its focus on passive, artifact-based data rather than direct interaction or participant observation.

109

Publications

5.8K

Citations

347

Authors

181

Institutions

Publications per year

2017–2026

73

Authors

347

  1. EZ
    Emilio Zagheni

    Max Planck Institute for Demographic Research, Germany

    4 publications · 219 citations

    4

    h-index

  2. BT
    Brian T. Pentland

    Michigan State University, United States

    4 publications · 176 citations

    4

    h-index

  3. JR
    Jan Recker

    Queensland University of Technology, Australia

    3 publications · 114 citations

    3

    h-index

  4. NR
    Nilám Ram

    Pennsylvania State University, United States

    3 publications · 210 citations

    3

    h-index

  5. AJ
    Andreas Jungherr

    University of Bamberg, Germany

    3 publications · 249 citations

    3

    h-index

1–5 of 347

Venues

  1. Social Science Computer Review

    SSCR · 5 publications · 265 citations

    5

    h-index

  2. PLoS ONE

    5 publications · 373 citations

    5

    h-index

  3. Journal of the Association for Information Systems

    JAIS · 4 publications · 242 citations

    4

    h-index

  4. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 3 publications · 71 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 77 citations

    3

    h-index

1–5