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Key variables to predict tie strength on social network sites
Pin Luarn,
Yu Ping Chiu
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Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
38
Citations (Scopus)
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INIS
data
100%
interactions
60%
design
40%
algorithms
40%
performance
20%
values
20%
dimensions
20%
people
20%
range
20%
prediction
20%
accuracy
20%
bridges
20%
recommendations
20%
Earth and Planetary Sciences
Social Network
100%
Data Set
50%
Model
37%
Purpose
25%
Investigation
25%
Algorithms
25%
Value
12%
Aspect
12%
Prediction
12%
Estimate
12%
Product
12%
Datum
12%
Visualization
12%
Analogy
12%
Dimension
12%
Opinion
12%
Recommendation
12%
Computer Science
Link Prediction
12%
Subjective Data
12%
Emotional Intensity
12%
Estimate Tie Strength
12%