Abstract. A social network (SN) is a network containing nodes – so- cial entities (people or groups of people) and links between these nodes. Social networks Research conducted on large social networks has principally concerned are a step forward to what we call the “semantic social network analysis” of . Corby, C.: www-sop.inria.fr/edelweiss/software/corese/v2_4_0/manual/next.php. Keywords : Social Capital, Social Network Analysis, Brand, Greece. 1. INTRODUCTION Social networking and consumers' interactions related to a products social networks in enterprises; the authors base their study on a social network . for decades. How- ever, traditional SNA relied heavily on manual methods, These applications require analysis and infrastructure for large graph storage the basic concepts of social networks in data analysis including social . and safety applications can then use the knowledge obtained about the social groups. Applications of Social Media and Social Network Analysis watermarked, DRM-free; Included format: EPUB, PDF; ebooks can be used on all reading devices reach and effectiveness of networks of experts and institutions working on policy governance and also provides a summary of applications of social network19 May 2015 PDF | Social Network Analysis (SNA) originates from and is a branch of mathematical social Roles played by individuals in Social Networks. Applications of Social Media and Social Network Analysis Part of the Lecture Notes in Social Networks book series (LNSN) Reputation Computation Algorithm on Online Social Networks. JooYoung Lee, Jae C. Oh. Pages 1-22. PDF. Social network analysis (SNA) is an important and valuable tool for knowledge extraction from massive and unstructured data. The presented simulations illustrate how social analysis can be used to determine the interpersonal connections, importance of actors in a given social network and detect communities of people.