International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Using k-means clustering algorithm, a new approach to handle evolving topics and discussions in social media environment is proposed. Different segmentation techniques and applications to handle large volumes of data are explored. Relevant works that consider using fading functions and half-life weight measurements as a tool to remove inactive clusters are discussed. A set of rules and a controlling variable called time to recover are introduced as a simple means of managing cluster lifecycles. Short case study is conducted with Twitter data retrieved between the 19th and 22^nd of January 2018.

Community-driven web applications often do not supply enough user-generated content to kick-start their growth and expand their audience. A way to deal with this problem is to introduce an achievement system that gives users a reason to explore and interact with each other. The use of game design principles to motivate the participants in a community-driven web application has been proving successful. In this paper we take a look at one major example of gamification in a website for careers and job opportunities.