Activity correlation spectroscopy: a novel method for inferring social relationships from activity data
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Tweets with negative content are retweeted more rapidly and frequently than positive or neutral tweets.
“tweets with negative content are retweeted more rapidly and frequently than positive or neutral tweets (Tsugawa & Ohsaki, 2017)”
From The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions (2022) · cites this paper as Tsugawa & Ohsaki, 2017
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- Authors
- Zhang, X., & Butts, C. T.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Butts, Carter T.
- Venue
- Social Network Analysis and Mining
- Published
- 2016-12-10
- Volume
- 7
- Issue
- 1
- ISSN
- 1869-5450 (ISSN-L)
- 1869-5469
- OpenAlex
- W2559761425
- Cited by
- 16
- References
- 39
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 3
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Network Analysis and Mining (publishedVersion)
- Funders
- National Science Foundation (NSF OIA-1028394, IIS-1251267, IIS-1526736)
- Topics
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
- Keywords
- social relationship inference, reality mining
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