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Low eigenvalues of Laplacian matrices of large random graphs
Tiefeng Jiang
Statistics (Twin Cities)
Research output
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Contribution to journal
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Article
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peer-review
9
Scopus citations
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Dive into the research topics of 'Low eigenvalues of Laplacian matrices of large random graphs'. Together they form a unique fingerprint.
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Mathematics
Laplacian Matrix
85%
Random Graphs
67%
Eigenvalue
44%
Dependent Random Variables
41%
Moment Conditions
41%
Smallest Eigenvalue
41%
Law of large numbers
40%
Largest Eigenvalue
39%
Standard deviation
36%
Order Statistics
33%
Symmetric matrix
33%
Triangular
31%
Zero
18%
Business & Economics
Random Graphs
100%
Eigenvalues
88%
Matrix
62%
Order Statistics
51%
Moment Conditions
48%
Random Variables
35%
Standard Deviation
34%