By Lei Tang,Huan Liu

The prior decade has witnessed the emergence of participatory net and social media, bringing humans jointly in lots of artistic methods. hundreds of thousands of clients are enjoying, tagging, operating, and socializing on-line, demonstrating new kinds of collaboration, conversation, and intelligence that have been rarely that you can imagine only a couple of minutes in the past. Social media additionally is helping reshape enterprise types, sway reviews and feelings, and opens up a variety of chances to review human interplay and collective habit in an unheard of scale. This lecture, from an information mining viewpoint, introduces features of social media, experiences consultant projects of computing with social media, and illustrates linked demanding situations. It introduces simple suggestions, provides state of the art algorithms with easy-to-understand examples, and recommends potent evaluate tools. particularly, we speak about graph-based neighborhood detection ideas and plenty of vital extensions that deal with dynamic, heterogeneous networks in social media. We additionally exhibit how came upon styles of groups can be utilized for social media mining. The strategies, algorithms, and strategies awarded during this lecture might help harness the ability of social media and aid development socially-intelligent structures. This ebook is an available advent to the research of emph{community detection and mining in social media}. it really 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 via extra fabrics, together with lecture slides, the entire set of figures, key references, a few toy information units utilized in the ebook, and the resource code of consultant algorithms. The readers are inspired to go to the publication web site for the most recent information.

Table of Contents: Social Media and Social Computing / Nodes, Ties, and impression / neighborhood Detection and review / groups in Heterogeneous Networks / Social Media Mining

Show description

Read or Download Community Detection and Mining in Social Media PDF

Best data mining books

Earth System Modelling - Volume 6: ESM Data Archives in the Times of the Grid (SpringerBriefs in Earth System Sciences)

Accumulated articles during this sequence are devoted to the advance and use of software program for earth procedure modelling and goals at bridging the distance among IT suggestions and weather technology. the actual subject coated during this quantity addresses the Grid software program which has develop into a major permitting expertise for a number of nationwide weather group Grids that resulted in a brand new measurement of disbursed information entry and pre- and post-processing services around the globe.

Apache Oozie: The Workflow Scheduler for Hadoop

Get an excellent grounding in Apache Oozie, the workflow scheduler procedure for coping with Hadoop jobs. With this hands-on consultant, skilled Hadoop practitioners stroll you thru the intricacies of this robust and versatile platform, with a variety of examples and real-world use circumstances. when you manage your Oozie server, you’ll dive into suggestions for writing and coordinating workflows, and the best way to write advanced info pipelines.

Prominent Feature Extraction for Sentiment Analysis (Socio-Affective Computing)

The target of this monograph is to enhance the functionality of the sentiment research version through incorporating the semantic, syntactic and common sense wisdom. This booklet proposes a singular semantic thought extraction strategy that makes use of dependency family members among phrases to extract the gains from the textual content.

QUERYING AND MINING UNCERTAIN DATA STREAMS: 3 (EAST CHINA NORMAL UNIVERSITY SCIENTIFIC REPORTS)

Information uncertainty broadly exists in lots of purposes, and an doubtful facts move is a chain of doubtful tuples that arrive speedily. despite the fact that, conventional options for deterministic facts streams can't be utilized to accommodate information uncertainty at once a result of exponential development of attainable resolution house.

Additional resources for Community Detection and Mining in Social Media

Example text

Download PDF sample

Rated 4.47 of 5 – based on 35 votes