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Chapter 1
DOI: 10.4018/978-1-61350-513-7.ch001
INTRODUCTION
Web mining is the use of data mining techniques
to extract information from web documents.
Although data mining is a well established field,
the application of data mining techniques on
web data is not an easy convertible task as web
data, unlikely the well described and organized
data in various databases are usually semi-
structured data (Lappas, 2008). With the rapid
development of the internet, web mining has now
become a very popular research area for many
different disciplines.
In the age of Web 2.0 as users actively com-
municate, interact, and share content on the web,
it become a very interesting research field the
use of web mining techniques for online social
network analysis. (Ting, 2008). Existing online
social networks offer now a large variety of dif-
ferent types of multimedia data and metadata from
textual to complex visual content, from tags to
video content and from photos to sound content
to name a few.
Georgios Lappas
Technological Educational Institution of Western Macedonia, Greece
Social Multimedia Mining:
Trends and Opportunities in Areas of
Social and Communication Studies
ABSTRACT
In recent years there is a vast and rapidly growing amount of multimedia content available online. Web
2.0 and online social networks have dramatically infuenced the growing amount of multimedia content
due to the fact that users become more active producers and distributors of such multimedia context.
This work conceptualizes and introduces the concept of social multimedia mining as a new emerging
research area that combines web mining research, multimedia research and social media research. New
challenges in multimedia research, social network analysis research as well as trends and opportunities
in research areas of social and communication studies and more specifc in politics, public relations,
public administration, marketing and advertising are discussed in this chapter.