Sparse CodingEncode an entity by fewer digits. What we need: a dictionary to encoding and the input signal. We will retu

Aims friendship paradox and sampling in networks emergence of a giant connected component molloy-reed criterion in rando

Generative Models generate what? according to given data, generate new data like them. methods? variational autoencode

Composition layer neurons/units input weight activation function output $x^{(l)}=\sigma^{(l)}(W^{(l)}x^{(l-1)})$​ n

Aims make statements about the properties of a network if we only know the degree distribution properties of generating

Aims learn what is the small-world network: small diameter and large clustering coefficient. learn how to generate such

Vector Quantizationassign vectors to some groups, denoted by the centroids. Methods: K-means, Mixture Model. K-Means $k$

Aims: graph theory: micro-/macro perspective ensemble perspective random graph models empirical examples Questions For

Basic Knowledge of networkQuestions Define the average shortest path length of a network the sum of the shortest path be

MotivationUsing vector as the symbol to represent words, which can capture their meaning in some way. the advantage of

MotivationObjectives network perspective on complex systems examples for complex networks Questions what does the com

Are the topics given ahead, fixed? Means we already have a set of available topics. Yes. Also, in pLSA, all the words a