• Title/Summary/Keyword: Online User Behavior

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A Method for Identifying Nicknames of a User based on User Behavior Patterns in an Online Community (온라인 커뮤니티 사용자의 행동 패턴을 고려한 동일 사용자의 닉네임 식별 기법)

  • Park, Sang-Hyun;Park, Seog
    • Journal of KIISE
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    • v.45 no.2
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    • pp.165-174
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    • 2018
  • An online community is a virtual group whose members share their interests and hobbies anonymously with nicknames unlike Social Network Services. However, there are malicious user problems such as users who write offensive contents and there may exist data fragmentation problems in which the data of the same user exists in different nicknames. In addition, nicknames are frequently changed in the online community, so it is difficult to identify them. Therefore, in this paper, to remedy these problems we propose a behavior pattern feature vectors for users considering online community characteristics, propose a new implicit behavior pattern called relationship pattern, and identify the nickname of the same user based on Random Forest classifier. Also, Experimental results with the collected real world online community data demonstrate that the proposed behavior pattern and classifier can identify the same users at a meaningful level.

User Behavior Analysis for Online Game Bot Detection (온라인 게임 봇 탐지를 위한 사용자 행위 분석)

  • Kang, Ah-Reum;Woo, Ji-young;Park, Ju-yong;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.225-238
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    • 2012
  • Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.

Online Searching Behavior of Social Science Researchers' in IR Interfaces of E-journal Database Systems: A Study on JMI, JNU, and DU

  • Kumar, Shailendra;Rai, Namrata
    • Journal of Information Science Theory and Practice
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    • v.1 no.4
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    • pp.48-66
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    • 2013
  • The aim of this study is to examine the user's online searching behavior in IR interfaces of e-journal database systems. The study is purely based on survey methods and tries to analyse the online searching behavior of respondents of social science disciplines who were doing research in three target central universities of Delhi (i.e. DU, JMI, and JNU). For measuring the responses of the respondents in IR interfaces of e-journal database systems, a total of 396 questionnaires were distributed among the students and out of all, 305 responses were used for the study. The findings of the study reveal that most of the students were not using all the facilities offered in IR interfaces of e-journal database systems for their retrieval process and also encourages menu based searches rather than command based searching.

Does cost matter: How customer adopts the fee-based online content services?

  • Choi Jeon-Gil;Hong Soon-Goo;Kim In-Jai;Lee Sang-Guen
    • The Journal of Information Systems
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    • v.13 no.1
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    • pp.121-134
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    • 2004
  • As Internet usage widely grows, online content services such as newspaper, magazine, music, game and movie are provided with a fee-based subscription. Many content services providers consider charging a usage fee into its service provisions as one of the Internet business models for increasing revenue. There are customer resistances to adopting the fee-based service provision on the Web. Previous research in information systems (IS)has focused on the analysis of adoption of information technology or systems in the individual ororganization level. No principle research has been carried out on the user adoption behavior of online content services provisions. As users actively access content services on the Web, it needs to explore user adoption behavior in different settings. Many IS researcher have employedquantitative approaches, even though they deal with the process of user behavior regarding the information technology or system. In this study, we attempt to discover how customers adopt the fee-based provision of online content services by employing grounded theory, one of the principal qualitative research methods.

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Analyzing the Differences among Online Gaming Users' Gaming Addiction Prevention Behaviors based on Risk Perception and Self-efficacy : Testing RPA Framework on Korean College Students (온라인 게임 사용자의 위험지각과 자기효능감에 따른 게임 중독 예방행위 간 차이분석 : 국내 대학생을 대상으로 한 위험지각태도 프레임웍을 기반으로)

  • Choi, Byounggu;Wang, ChenWei;Lee, Jae-Nam
    • Journal of Information Technology Applications and Management
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    • v.22 no.2
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    • pp.19-41
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    • 2015
  • Many studies have focused on the influences and outcomes of online game addiction. However, few studies have investigated how the online game addiction prevention behavior differs depending on online game user. In order to fill this gap, this study attempts to classify online game users based on risk perception attitude (RPA) framework. More specifically, this research tries to show online game user can be classified into four groups based on perceived risk of online game addiction and efficacy beliefs of online game addiction protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for online game addiction prevention. For this purpose, analysis on survey data from 240 Korean college students who use online game reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for online game addiction prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of online game addiction prevention strategies and policy.

An Analysis of determinant on Repurchase Behavior of Game User in Chinese online game industry: moderation effect of online review (중국 온라인게임 산업의 게임사용자 재구매 행위 결정요인에 관한 연구: 온라인평가의 조절효과 분석)

  • Lee, Young-Duck
    • Journal of Korea Game Society
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    • v.15 no.6
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    • pp.41-54
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    • 2015
  • Despite a great performance of Korean online game in Chinese online game market, Korean companies were faced with decreasing market positions in China from 2006. To overcome this problem, I will suggest a research model about determinant of repurchase behavior of on-line game user and moderation effect of online review. Data collected from questionnaire survey were used in empirical analysis on research hypothesis through moderated multiple regression method. There are several conclusions as such; first, perceived value and loyalty of consumer have great positive relationships with repurchase behavior. Second, online review has positive direct influence on repurchase behavior and moderation effect of relationships among them. Third, game company has great efforts to develop online games and game contents which were guaranteed before in price, quality, information, and accurate consideration of online review.

The Effect of eWOM Information Characteristics and Brand Community Experience Value on Brand Trust, Conversion

  • HAN, Sang-Seol
    • The Journal of Industrial Distribution & Business
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    • v.13 no.4
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    • pp.35-49
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    • 2022
  • Purpose - According to the recently changing consumer smart environment and consumer decision-making process, this study investigates the structural relationship between electronic(online) WOM information characteristics and brand community experience value types on specific brand reliability and brand transformation. In particular, the characteristics of word of mouth information and the experience value of brand community users were divided into detailed fac tors and approached. Methodology - In order to proceed with this study, we review previous studies and setting hypotheses. The hypothesis was verified through a survey that was conducted for the consumers with online consumption activities in less than six months. With reference to previous studies, operational definition was made for the questionnaire design. In order to verify the hypothesis, 282 people were statistically analyzed through the survey This data were used for AMOS for confirm hypothesis established. Results - eWOM information characteristics were classified into usefulness, timeliness and un-bias, and online community experience values were classified into interaction, playfulness, and virtuality. In addition, it is to investigate the relationship between the brand reliability and user's experience value in brad community. The main results are as follows. The first result was that usefulness and un-bias, which are the eWOM information characteristics had a positive effect on forming brand reliability. However, the factor of timeliness did not affect brand reliability. Second, in terms of user experience value and brand reliability in the brand community. It was fo und that experience values such as interaction, playfulness, and vituality all had a positive influence on brand reliability. Third, it was found that brand reliability has a positive influence on the on-line conversion activity of users. Conclusions - Through this study, the field of online consumer behavior research is expanding, and this study suggested that careful management is necessary according to the type or characteristics of eWOM information. Additionally, it presents the importance of the user's empirical value in the brand community influencing brand attitude and reliability. In practice, the implementation of the marketing communication mix in digital marketing has recently been underway to enhance the conversion behavior of users. At this level, it also reveals the preceding factors that increase user conversion behavior.

Development of MMORPG User Simulation -with Application on Travia Online Game- (MMORPG 사용자 시뮬레이션 개발 -트라비아 온라인을 중심으로-)

  • Sohn Hyoung-Ryul;Roh Chang-Hyun
    • Journal of Game and Entertainment
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    • v.1 no.1
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    • pp.1-7
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    • 2005
  • Beta-test is a essential step to verify a online-game developing. Through beta-test, we can find out some problems related to game-balancing, game-play, user behaviors and so on. And the game developing can be modified to make up a weak-point. However, a beta-test in online game development is a very time consuming and heavy expense work. Therefore, in this study, the simulation model for growth-balancing and battle among characters was proposed in order to reduce the duration and cost for beta-test. And it was applied to Travia online game successfully.

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Examining the Impact of Online Friendship Desire on Citizenship Behavior (온라인 환경에서 친교욕구가 시민행동에 끼치는 영향)

  • Jang, Yoon-Jung;Lee, So-Hyun;Kim, Hee-Woong
    • Asia pacific journal of information systems
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    • v.23 no.4
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    • pp.29-51
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    • 2013
  • In line with network technology development and smart device penetration, the social network service (SNS) has expanded its influence. The SNS which is a service based on communication and sharing among people, has grown based on users' voluntary engagement and participation and its influence has appeared beyond the cyberspace into the overall areas of domestic and foreign culture and society. In particular, SNS-based real-time communication during diverse disasters, can help prevent further damage. By sharing information on social donation activities and environmental campaigns, people have used SNS as a tool to change the society in a more positive way. Such series of activities functioning as a power to change the society have been made much faster and wider through the help of a new media called SNS. To better understand such trends, we are required to study about the SNS and its user relationships first. In this context, this study sought to identify the effects of people's desire to build friendships through SNS on the voluntary and society-friendly activities of people. This study considers online pro-social behavior and proposes online citizenship behavior. Citizenship behavior has been examined in organization context. That is, organizational citizenship behavior explains an employee's pro-social behavior in an organization context. Organizational citizenship behavior is characterized by the individual's helping others and promoting the functioning of the organization. By applying organizational citizenship behavior to an online context, we propose online citizenship behavior, an individual's pro-social behavior in an online context. An individual's pro-social behavior, i.e., online citizenship behavior, could be considered as a way for the better management of online community and society. It also needs to examine the development of online citizenship behavior. This study examined online citizenship behavior from the friendship desire. Because online society or community is characterized by online relationships between members, the friendship between members would lead to pro-social behavior, i.e., helping others and promoting the functioning of the online society, in such online context. This study further examines the antecedents of friendship desire in terms of SNS interactivity with its four factors. The findings based on the survey from real SNS users explain that the three factors of SNS interactivity (connectivity, enjoyment, and synchronicity) increases online friendship desire which then increases online citizenship behavior significantly. This study contributes to the literature by examining the key role of online friendship desire in leading to online citizenship behavior and identifying its antecedents in terms of SNS characteristics. The findings in this study also provide guidance on how to manage online society and how to promote the effective functioning of SNS.

An Alternative Evaluation of the Item-based Collaborative Filtering Using Simulated Online Shopping

  • Ahn, Hyung-Jun
    • Journal of Information Technology Applications and Management
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    • v.16 no.3
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    • pp.17-28
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    • 2009
  • This paper presents a novel method for evaluating the usefulness of online product recommendation. Previous studies on evaluating recommendation systems have mostly relied on two methods : testing the accuracy of estimating user preferences by recommendation systems, or empirically testing the effectiveness with lab experiments involving human participants. The former does not measure the usefulness directly and hence can be misleading; the latter is expensive in that it requires a working online store System and test participants. In order to address the problems, the proposed approach uses simulation to imitate customer behavior and evaluate the usefulness of recommendation. Models for user behavior and an abstract Internet store are developed for simulation. Actual simulation experiments are performed to illustrate the use of the approach.

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