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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

Structural coherency

biblio

Visible to the public Unsupervised Discovery Of Semantically Aware Communities With Tensor Kruskal Decomposition: A Case Study In Twitter

Submitted by aekwall on Mon, 02/15/2021 - 4:47pm
  • recursive community structure
  • functional Twitter elements
  • hashtag semantics
  • heavy degree distribution tail
  • high clustering coefficient values
  • higher order analytics
  • higher order counterpart
  • Julia
  • Kruskal decomposition
  • low diameter
  • news aggregators
  • Political Campaigns
  • politics
  • rank one tensors
  • functional coherency
  • semantic weight
  • semantically aware communities
  • Structural coherency
  • structural Twitter elements
  • substantial empirical evidence
  • synthetic graph generation models
  • tensor algebra
  • tensor kruskal decomposition
  • tensor representation
  • Tucker tensor decomposition
  • Twitter subgraph
  • unofficial form
  • unsupervised discovery
  • tensors
  • graph theory
  • social networking (online)
  • Twitter
  • Metrics
  • social network
  • network theory (graphs)
  • cyber physical systems
  • Unsupervised Learning
  • Semantics
  • Compositionality
  • Periodic structures
  • singular value decomposition
  • SVD
  • pubcrawl
  • Tucker decomposition
  • decomposition
  • analytical methodologies
  • Blogs
  • clustered graph spectrum
  • Community discovery
  • community structure discovery
  • compact community size distribution
  • digital marketing
  • Facebook groups
  • fact checking
  • followfollower relationships

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