We study dynamic phenomena in large social network consisting of 30000 individuals, who interact in a large virtual world of Massive Multiplayer Online Role Playing Game (MMORPG). On the basis of the database received from the on-line game server, we investigate the structure of the friendship network and human dynamics. In order to investigate the relation between networks of acquaintances in virtual and real worlds, we carried out a survey among the players. The average number of pre-existing acquaintances account for about 12% of  the friendship network in virtual world so it did not develop as a growing graph of underlaying social acquaintance network in the real one. We found very interesting scaling laws concerning human dynamics. Our research has shown how long people are interested in a single task, and how much time they devote to it. It is surprising that exponent values in both cases are close to minus one. We calculate the activity of individuals, i.e. the relative time daily devoted to interactions with others. Our research has shown that distribution of activity is not uniform and is highly correlated with node degree and that such a behavior of human activity has significant influence on dynamic phenomena, e.g. epidemic spreading and rumor propagation, in complex networks. We found that that the spreading process is accelerated (epidemic) or decelerated (rumor propagation) as result of different behavior of super-spreaders.

• Legal notice:
  

  Copyright (c) Pielaszek Research, all rights reserved.
  The above materials, including auxiliary resources, are subject to Publisher's copyright and the Author(s) intellectual rights. Without limiting Author(s) rights under respective Copyright Transfer Agreement, no part of the above documents may be reproduced without the express written permission of Pielaszek Research, the Publisher. Express permission from the Author(s) is required to use the above materials for academic purposes, such as lectures or scientific presentations.
  In every case, proper references including Author(s) name(s) and URL of this webpage: https://science24.com/paper/12824 must be provided.

1. Human behavior in online social networks
2. Models of pedestrian evacuation based on cellular automata
3. Cooperation model with costly punishment
4. Statistical properties of the proportional voting process