id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
qj72p556t40	Yuxiao Dong	Computational Lens on Big Social and Information Networks	1904		.txt	text/plain	336	9	16	Finally, our work on diversity presents neural network based representation learning models for embedding heterogeneous networks in which there exist diverse types of nodes and edges, giving rise to important implications for traditional mining and learning tasks in heterogeneous network data, including similarity search, clustering, and classification. Accordingly, this thesis develops computational models to investigating the ways that individuals are embedded in and interact within a wide range of over one hundred big networks---the biggest with over 60 million nodes and 1.8 billion edges---with an emphasis on two fundamental and interconnected directions: user demographics and network diversity.	cache/qj72p556t40.txt	txt/qj72p556t40.txt