Chris J. Snijders
Computer Science Applications · 2001–2017
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Science Applications — 11 citations into it
- Education — 9 citations into it
- Developmental and Educational Psychology — 5 citations into it
Whom Chris J. Snijders trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Duncan J. Watts
- Nick Z. Zacharis
- Roger C. Mayer
- Albert-László Barabási
- Steven H. Strogatz
- Leah P. Macfadyen
- Shane Dawson
- John H. Kagel
- Dirk T. Tempelaar
- Á. F. Agudo-Peregrina
Who trusts Chris J. Snijders overall
- Paolo Giardullo
- S. Ren
- Isabel Thielmann
- Anthony M. Evans
- Detlef Fetchenhauer
- Samuel Fosso Wamba
- Benjamin E. Hilbig
- F. Yu
- Yingxu Wang
Papers from Chris J. Snijders's perspective
Ordered by how strongly the researchers Chris J. Snijders trusts endorse each paper. Same corpus, a different order for every researcher.
- Collective dynamics of ‘small-world’ networks
- Mining LMS data to develop an "early warning system" for educators: A proof of concept (Comput. Educ.)
- The web of human sexual contacts (Nature)
- Tracking student behavior, persistence, and achievement in online courses (Internet and Higher Education)
- The power of feedback. (Healthcare executive)
- Visible learning: a synthesis of over 800 meta‐analyses relating to achievement
- An overview of learning analytics
- Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning (Computers in Human Behavior)
- Aptitude is not enough: How personality and behavior predict academic performance.
- Big Five personality predictors of post-secondary academic performance
Their papers
- Do you trust? Whom do you trust? When do you trust? (2001) — 94 citations
- Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS (2017) — 308 citations
- "Big Data" : big gaps of knowledge in the field of internet science (2012) — 391 citations