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A Taxonomy for and Analysis of the MMOG Landscape

Published: 19 March 2014 Publication History

Abstract

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.

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cover image ACM Conferences
MMVE '14: Proceedings of International Workshop on Massively Multiuser Virtual Environments
March 2014
42 pages
ISBN:9781450327084
DOI:10.1145/2577387
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 March 2014

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Author Tags

  1. Analysis
  2. Massive Multiplayer On-Line Games
  3. Taxonomy

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  • Tutorial
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  • Refereed limited

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MMSys '14
Sponsor:
MMSys '14: Multimedia Systems Conference 2014
March 19 - 21, 2014
Singapore, Singapore

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Overall Acceptance Rate 26 of 44 submissions, 59%

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