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Local interactions and the emergence of a Twitter small-world network
Eugene Ch’ng
School of Computer Science
Research output
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Journal Publication
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Article
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peer-review
55
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Keyphrases
Self-organizing Systems
100%
Small-world Phenomenon
66%
Active Community
66%
Regular Lattice
33%
Online Social Movements
33%
Civic Movements
33%
High Clustering Coefficient
33%
Random Lattice
33%
Online Activists
33%
Civic Discourse
33%
Network Spreading
33%
Serine Protease Autotransporters of Enterobacteriaceae (SPATEs)
33%
Ad-hoc Communities
33%
Average Path Length
33%
Computer Science
Organizing System
100%
Small-World Phenomenon
66%
Network Type
33%
High Clustering
33%
Average Path Length
33%
Clustering Coefficient
33%