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CN12 Exponential random graph model CN12 Exponential random graph model
Objectivesusing ERGM model to generate statistical ensembles with arbitrary fixed properties. Questions For which micros
2019-08-09
CN11 Model selection CN11 Model selection
Objectives how information theoretic concepts can be used to solve the overfitting problem in community detection. only
2019-08-08
CN10 Statistical Inference CN10 Statistical Inference
Objectives use ensemble perspective on complex networks focus on community detection. Questions what is the difference
2019-08-05
CN9 Spectral properties CN9 Spectral properties
Objective how does the topology of a network influence diffusion speed? how fast the stationary distribution can be reac
2019-07-31
CN8 Random Walks and Diffusion CN8 Random Walks and Diffusion
Objectives topology’s influence on dynamical process model and analyze diffusion process in complex networks. random wal
2019-07-30
CIL9 Dictionary Learning CIL9 Dictionary Learning
Compressive SensingMotivationCompress data while gathering. This will save a lot of storage memory. The problem is we al
2019-07-25
CN7 Scale-Free Network and limitations of Ensemble Studies CN7 Scale-Free Network and limitations of Ensemble Studies
Objectives analyzing robustness with generating functions robustness of scale-free network limitations of ensemble-based
2019-07-23
CIL8 Sparse Coding CIL8 Sparse Coding
Sparse CodingEncode an entity by fewer digits. What we need: a dictionary to encoding and the input signal. We will retu
2019-07-22
CN6 Generating function applications CN6 Generating function applications
Aims friendship paradox and sampling in networks emergence of a giant connected component molloy-reed criterion in rando
2019-07-19
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