Analysis of Game Bot's Behavioral Characteristics in Social Interaction Networks of MMORPG

By S. Jeong, Ah Reum Kang, Huy Kang Kim. 2015

16 citations recorded by the source corpus.

MMORPG (Massively Multiplayer Online Role-Playing Game) is one of the best platforms to observe human's behaviors. In collaboration with a leading online game company, NCSoft, we can observe all behaviors in a large-scale of commercialized MMORPG. Especially, we analyzed the behavioral differences between game bots and human users. We categorized the five groups, Bot-Bot, Bot-All, Human-Human, Human-All and All-All, and we observe the characteristics of six social interaction networks for each group. As a result, we found that there are significant differences in social behaviors between game bots and human.

Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Weinan Zhang
2. M. Zhou
3. Jun Wang

In Information Systems

1. Weinan Zhang
2. Jun Wang
3. M. Zhou
4. Yaodong Yang
5. Xing Xie
6. Xiangnan He
7. Shuai Yuan

In Statistical and Nonlinear Physics

1. M. Zhou
2. Weinan Zhang
3. Minne Li
4. Jun Wang
5. Yaodong Yang
6. Rui Luo

Citations in the corpus

• Mean Field Multi-Agent Reinforcement Learning (2018, background): “Yet, in practice, many cases do require strategic interactions among a large number of agents, such as the gaming bots in Massively Multiplayer Online Role-Playing Game (Jeong et al., 2015), the trading agents in stock markets (Troy, 1997), or the online advertising bidding agents (Wang et al., 2017”