Home
This Title All WIREs
WIREs RSS Feed
How to cite this WIREs title:
WIREs Data Mining Knowl Discov
Impact Factor: 2.541

Mining social media: key players, sentiments, and communities

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract Social media is the key component of social networks and organizational social applications. The emergence of new systems and services has created a number of novel social and ubiquitous environments for mining information, data, and, finally, knowledge. This connects but also transcends private and business applications featuring a range of different types of networks and organizational contexts. Important structures concern subgroups emerging in those applications as communities (connecting people), roles and key actors in the networks and communities, and opinions, beliefs, and sentiments of the set of actors. Collective intelligence can then be considered as an emerging phenomenon of the different interactions. This focus article considers mining approaches concerning social media in social networks and organizations and the analysis of such data. We first summarize important terms and concepts. Next, we describe and discuss key actor identification and characterization, sentiment mining and analysis, and community mining. In the sequel we consider different application areas and briefly discuss two exemplary ubiquitous and social applications—the social conference guidance system Conferator, and the MyGroup system for supporting working groups. Furthermore, we describe the VIKAMINE system for mining communities and subgroups in social media in the sketched application domains. Finally, we conclude with a discussion and outlook. © 2012 Wiley Periodicals, Inc. This article is categorized under: Algorithmic Development > Web Mining Fundamental Concepts of Data and Knowledge > Data Concepts Technologies > Structure Discovery and Clustering

Main user Interface of the VIKAMINE24 system (available at http://www.vikamine.org). The screenshot shows the workbench explorer on the left, and the attribute navigator on the right. The panel in the middle contains the zoomtable showing value distributions of individual attributes below the current pattern view including a statistical characterization.

[ Normal View | Magnified View ]

Related Articles

Social Networks and Data Mining

Browse by Topic

Technologies > Structure Discovery and Clustering
Fundamental Concepts of Data and Knowledge > Data Concepts
Algorithmic Development > Web Mining

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts