| Popis: |
Massive Multiplayer On-Line Games exhibit specific trends that evolve over time. To efficiently analyze these evolutions, one needs to obtain information from multiple sources and correlate it in a meaningful way. Typically, this process involves manual labor and/or is left to specific community sites. In this paper, a semi-automated mechanism is presented that scrapes this information from community sites and 'tags' games depending on their properties, independent of the source of the information. By correlating the tags, one can easily create a large database of MMO games and extract historical trends from the data. Also in this paper, the analysis of such a dataset is presented, which sheds light on the historical evolution of MMOs based on several metrics such as genre, type, monetization, deployment technology and game-dependent characteristics. |
