Human beings are social beings, what is reflected in relationships. Their views and opinions form and change during interactions with people they care about (partner, relatives, friends, etc.) (Kogovšek in Ferligoj 2003, p. 129) In my work i will focus on interpersonal relationships in the FDV-jevka forum. I will analyze three subnetworks which are quotation, reply to and net to first author subnetworks. 1236 people have been analyzed, who are represented as dots in the network, whereas the lines represent interpersonal relationships. With the help of the analytics tool Pajek i calculated multiple measures of centrality and prominence. Further on i used the statistical software platform SPSS to calculate Pearsons corelation matrix for the measured variables. Finally the principal component method was used to analyzed intersubject corelation variables. The goal of this thesis work is to find the most important actors in FDV-jevka network and to determine, which calculated measures help to achieve this. Another goal of this work is to notice the members with the highest support and centrality.
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