The influence of relationships strength on their duration in blogosphere

Social media users create communities or groups that focus on a particular topic or place. In addition, logins ascribed to users allow us to link created content with its authors, by which means direct relationships between them are being created. In this article we analyze relations between users of Polish blogosphere, where direct interactions between them constitute a basis for assessment of the relation strength and its durability in time. We also analyze how amount of created content, influences the strength of the relationship between their author and the bloggers writing comments.

[1]  Luciano Rossoni,et al.  Models and methods in social network analysis , 2006 .

[2]  Hsinchun Chen,et al.  Automated criminal link analysis based on domain knowledge , 2007, J. Assoc. Inf. Sci. Technol..

[3]  Dietmar Plenz,et al.  The organization of strong links in complex networks , 2011, Nature Physics.

[4]  Yves Demazeau,et al.  Combining Agent-Based and Social Network Analysis Approaches to Recognition of Role Influence in Social Media , 2016, PAAMS.

[5]  Przemyslaw Kazienko,et al.  Key Person Analysis in Social Communities within the Blogosphere , 2012, J. Univers. Comput. Sci..

[6]  Mark S. Granovetter.  The Strength of Weak Ties , 1973, American Journal of Sociology.

[7]  Przemyslaw Kazienko,et al.  Identification of Group Changes in Blogosphere , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[8]  R. Hanneman.  Introduction to Social Network Methods , 2001 .

[9]  Krzysztof Cetnarowicz,et al.  Models of Social Groups in Blogosphere Based on Information about Comment Addressees and Sentiments , 2012, SocInfo.

[10]  Karen Zita Haigh,et al.  Robust features of trust in social networks , 2013, Social Network Analysis and Mining.

[11]  Anna Zygmunt,et al.  The Comparison of Users Activity on the Example of Polish and American Blogosphere , 2015, Sci. Program..

[12]  Jaideep Srivastava,et al.  Link Prediction Across Multiple Social Networks , 2010, 2010 IEEE International Conference on Data Mining Workshops.