By Huan Liu

This publication, from a knowledge mining viewpoint, introduces features of social media, stories consultant initiatives of computing with social media, and illustrates linked demanding situations. It introduces easy techniques, provides cutting-edge algorithms with easy-to-understand examples, and recommends powerful review equipment. particularly, we talk about graph-based group detection suggestions and plenty of very important extensions that deal with dynamic, heterogeneous networks in social media. We additionally exhibit how came across styles of groups can be utilized for social media mining. The techniques, algorithms, and techniques offered during this lecture will help harness the facility of social media and aid development socially-intelligent platforms. This booklet is an obtainable creation to the examine of \emph{community detection and mining in social media}. it truly is a vital interpreting for college students, researchers, and practitioners in disciplines and functions the place social media is a key resource of information that piques our interest to appreciate, deal with, innovate, and excel. This publication is supported through extra fabrics, together with lecture slides, the full set of figures, key references, a few toy information units utilized in the e-book, and the resource code of consultant algorithms. The readers are inspired to go to the booklet site http://dmml.asu.edu/cdm/ for the most recent info. desk of Contents: Social Media and Social Computing / Nodes, Ties, and impact / neighborhood Detection and review / groups in Heterogeneous Networks / Social Media Mining

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