From Data to Human Behaviour

Author

Kazienko, P. ; Kajdanowicz, T. ; Michalski, R. ; Brodka, Piotr

Author_Institution

Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland

fYear

2013

fDate

8-10 May 2013

Firstpage

100

Lastpage

108

Abstract

The main goal of the paper is to present how the data-driven approach to social network analysis enables various applications of knowledge about human behaviour. Three main illustrative application domains are pointed out and briefly analysed: social recommender systems in online multimedia publishing services, assessment of organisational structures in companies and social group evolution in blogosphere. Selected relevant models and methods like multi-layered (multidimensional) social networks, structural measures aggregation or change detection in groups are exposed as useful research approaches.

Keywords

collaborative filtering; data analysis; electronic publishing; recommender systems; social networking (online); blogosphere; change detection; data-driven approach; human behaviour; multidimensional social networks; multilayered social networks; online multimedia publishing services; organisational structure assessment; social group evolution; social network analysis; social recommender systems; structural measures aggregation; Companies; Multimedia communication; Organizational aspects; Position measurement; Recommender systems; Social network services; GED; SNA; Social Network Analysis; blogosphere; data analysis; group evolution discovery; human behaviour; multi-layered social network; multidimensional social network; organisational structures; recommender system; social community;

fLanguage

English

Publisher

ieee

Conference_Titel

Social Intelligence and Technology (SOCIETY), 2013 International Conference on

Conference_Location

State College, PA

Print_ISBN

978-1-4799-0045-9

Type

conf

DOI

10.1109/SOCIETY.2013.14

Filename

6545970