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Local interactions and the emergence of a Twitter small-world network
Eugene Ch’ng
School of Computer Science
Research output
:
Journal Publication
›
Article
›
peer-review
74
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Keyphrases
Twitter
100%
Small-world Network
100%
Local Interaction
100%
Cohesiveness
37%
Self-organizing Systems
37%
News Item
25%
Small-world Phenomenon
25%
Active Community
25%
Lattice Type
12%
Human Activities
12%
Large-scale Cluster
12%
Media Channels
12%
Self-expression
12%
Man-made
12%
Regular Lattice
12%
Online Social Movements
12%
Civic Movements
12%
High Clustering Coefficient
12%
Random Lattice
12%
Online Activists
12%
Civic Discourse
12%
Network Spreading
12%
Serine Protease Autotransporters of Enterobacteriaceae (SPATEs)
12%
Ad-hoc Communities
12%
Average Path Length
12%
Computer Science
Small-World Network
100%
Organizing System
37%
Twitter
25%
Small-World Phenomenon
25%
Network Type
12%
High Clustering
12%
Average Path Length
12%
Clustering Coefficient
12%