arXiv subjects

Blazej Zak

Publications and source records attributed to Blazej Zak.

3 recordsLinked to original sources

arXiv2014

Heuristic for Network Coverage Optimization Applied in Finding Organizational Change Agents

Authors compare different ways of selecting change agents within network analysis paradigm and propose a new algorithm of doing so. All methods are evaluated against network coverage measure that calculates how many network members can be directly reached by selected nodes. Results from the analysis of organizational network show that compared to other methods the proposed algorithm provides better network coverage, at the same time selecting change agents that are well connected, influential opinion leaders.

cs.SI↗

arXiv2014

Model for simulating mechanisms responsible of similarities between people connected in networks of social relations

It the literature have been identified three social mechanisms explaining the similarity between people connected in the network of social relations homophily, confounding and social contagion. The article proposes a simple model for simulating mechanisms responsible for similarity of attitudes in networks of social relations; along with a measure that is able to indicate which of the three mechanisms has taken major role in the process.

cs.SI↗

arXiv2014

Studying Diffusion of Viral Content at Dyadic Level

Diffusion of information and viral content, social contagion and influence are still topics of broad evaluation. As theory explaining the role of influentials moves slightly to reduce their importance in the propagation of viral content, authors of the following paper have studied the information epidemic in a social networking platform in order to confirm recent theoretical findings in this area. While most of related experiments focus on the level of individuals, the elementary entities of the following analysis are dyads. The authors study behavioral motifs that are possible to observe at the dyadic level. The study shows significant differences between dyads that are more vs less engaged in the diffusion process. Dyads that fuel the diffusion proccess are characterized by stronger relationships (higher activity, more common friends), more active and networked receiving party (higher centrality measures), and higher authority centrality of person sending a viral message.

cs.SI↗