The gossip is roughly as old as the human race, and evolutionarily highly desirable activity, being assisted by the community relations stabilization. From the view of the individuals allows information dissemination and acquisition, as well as affect the popularity and acceptance. The evolution of technology has changed the process of spreading the gossip. Today are the main channels of information dissemination the social networks, which created both time and space new kinds of opportunities.
In my thesis work I examined nowadays around the world very popular service, the Twitter social networks, how does that there is typically spread the gossip, the messages redistribution. The choice has fallen for this one of the many popular social media, because the services it offers are completely public for the developers.
First I analyzed the structure of the Twitter service, which data stores about users, what types of messages they can communicate with each other using the network, and then I selected the best gossip-like message type. I examined the public API service, which I ask these messages from the server. I examined also which properties of these messages should be stored in the database created for this. After that I selected the proper API services, in conjunction with this, I implemented the necessary scripts to request data. I set up the web server and the database for receiving and storing the data. I filtered out from the accumulated data the inaccurate, incomplete or irrevelant data, then I selected a manageable size data set. I asked for these datasets further information to create a full-featured statistics.
Based on the statistics I made conclusions about the user's habits, about information subdividing, and about the spread of gossip in social networking.