Validity Issues in the Use of Social Network Analysis with Digital Trace Data
By James Linton Howison, Andrea Wiggins, Kevin Crowston. 2011
344 citations recorded by the source corpus.
Subfields: Communication, Political Science and International Relations, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Alexandra Olteanu
- Fernando Diaz
- Carlos Castillo
- Emre Kıcıman
- Emre Kiciman
- Stefan Seidel
- Jeremy Blackburn
- Jürgen Pfeffer
In Political Science and International Relations
In Statistical and Nonlinear Physics
- Alexandra Olteanu
- Carlos Castillo
- Fernando Diaz
- Emre Kıcıman
- Fred Morstatter
- Katja Mayer
- Jürgen Pfeffer
- Emre Kiciman
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “It also includes temporal validity , which captures to what extent constructs change over time (Howison et al., 2011) and may invalidate previous conclusions about societal and/or platform phenomena; e.g., see the case of Google Flu Trends (Lazer et al., 2014).”
- Gender and Tenure Diversity in GitHub Teams (2015, methodology): “Validity of extraction of information from G IT H UB can be threatened in a way similar to digital trace data [32] or put in a “peril” by concerns related to mining Git repositories in general [9], or specifically G IT H UB data [34].”
- The Pushshift Reddit Dataset (2020, background): “Even if the “golden age” of API-driven computational social science and social computing research had not closed in the shadow of privacy scandals, it was nevertheless characterized by enormous inefficiencies in data collection and inequalities in access [93, 107], ethically-suspect methods and impl”
- A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2018, background): “This part concludes with an overview of common classes of threats to the validity of research leveraging social data [17, 34]: construct validity—do data measurements actually capture the construct one aims to measure? internal validity—does the analysis”
- How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service (2018, background): “, text analytics, web analytics) enable firms to process and analyze such trace data—digital records of activities and events that involve information technologies [18]—from, for instance, websites and social media, including users’ online activities (e.”
- Tampering with Twitter’s Sample API (2018, background): “Because sampling is so prevalent, we need to question its validity [10, 18] and better understand platform mechanisms and possible biases in the resulting data [19–22].”