Wei Wang

Signal Processing · ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems · 2006–2014

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark Newman
  2. Latanya Sweeney
  3. Alan M. Frieze

Who trusts Wei Wang overall

  1. Benjamin C. M. Fung
  2. Yu Zheng
  3. Charu C. Aggarwal
  4. Bin Zhou
  5. Manolis Terrovitis
  6. Ke Wang
  7. Markus Goldstein
  8. Arthur Zimek

Papers from Wei Wang's perspective

Ordered by how strongly the researchers Wei Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Graph structure in the Web (Comput. Networks)
  2. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  3. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  4. k-Anonymity: A Model for Protecting Privacy
  5. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  6. Uncovering the overlapping community structure of complex networks in nature and society (Nature)
  7. Mining top-n local outliers in large databases (Knowledge Discovery and Data Mining)
  8. BIRCH: an efficient data clustering method for very large databases
  9. Finding local community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  10. Near linear time algorithm to detect community structures in large-scale networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)

Their papers