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Title of Dataset
Testing Propositions Derived from Twitter Studies: Generalization and Replication in Computational Social Science
Testing Propositions Derived from Twitter Studies
Author of Dataset
Hai Liang1
Fu, King Wa2
Contact
King-wa Fu2
Date of Dataset Creation
2015-06-07
Description
Replication is an essential requirement for scientific discovery. The current study aims to generalize and replicate 10 propositions made in previous Twitter studies using a representative dataset. Our findings suggest 6 out of 10 propositions could not be replicated due to the variations of data collection, analytic strategies employed and inconsistent measurements. The replication data include 4 files: 1. EgoAlterProfiles (egos are randomly selected Twitter users; alters are the followers and followees of the egos) 2. EgoNetworks (all egos and their following relationships with alters) 3. Exposure (the aggregated data for testing exposure hypothesis) 4. EgoTimelines (all tweets information posted by egos) All datasets have been anonymized.
Citation
Hai Liang, Fu, KW. (2015). Testing Propositions Derived from Twitter Studies: Generalization and Replication in Computational Social Science. [Data File]. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/L1MJZ6
Subject (RGC Codes)
H2 — Social and Behavioural Sciences — 社會及行為學
  • 4414 — Visual Design (including advertising, graphic, visual communication, digital media) — 視覺設計（包括廣告, 圖形, 視覺傳播, 數字媒體）
Subject (ANZSRC)
20 — LANGUAGE, COMMUNICATION AND CULTURE — 語言, 傳播與文化
  • 2001 — COMMUNICATION AND MEDIA STUDIES — 傳播與媒體研究
    • 200102 — Communication Technology and Digital Media Studies — 傳播技術與數位媒體
Keyword
Twitter
Random sample
Computational social science
DOI for Dataset
http://dx.doi.org/10.7910/DVN/L1MJZ6
Notes
Liang, Hai & Fu, King-wa (2015). Testing propositions derived from Twitter studies: Generalization and replication in computational social science. PLoS ONE, 10(8), e0134270. doi: 10.1371/journal.pone.0134270 doi: 10.1371/journal.pone.0134270
Affiliations
  1. Chinese University of Hong Kong
  2. The University of Hong Kong