Social Cloud Computing

  • 242 views
Uploaded on

 

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
242
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
4
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n
  • \n

Transcript

  • 1. SOCIAL CLOUD COMPUTING
  • 2. Outline
  • 3. Check In
  • 4. Check In
  • 5. Check In
  • 6. Check In
  • 7. Check In
  • 8. Check In
  • 9. om bi neC
  • 10. Community
  • 11. Label Prediction
  • 12. Community DetectionPartitioning: KL AlgoHierarchical:Hierarchical ClusteringEdge-Removal:ModularityMaximizationEdge-Removal: Bridge-Cut Algo
  • 13. Label PredictionWeighted nodeWeighted edge
  • 14. Input TwitterOutput
  • 15. Twitter crawler Twitter API
  • 16. We may use Ruby as main programming language forcreating Twitter crawler, analyzing data and building webservices.Alternatively, R may be used in creating charts.
  • 17. Fast unfolding of communities in large networks/Cornel University 2008https://sites.google.com/site/findcommunitiesCommunity structure in social and biological networks/Cornell University 2002Leveraging Label-Independent Features forClassification in Sparsely Labeled Networks: AnEmpirical Study
  • 18. THANK YOU