Analyzing netizens’ view and reply behaviors on the forum

Yu, Jiefei; Hu, Yanqing; Yu, Min; Di, Zengru

doi:10.1016/j.physa.2010.03.043

Cited by 25 publications

(9 citation statements)

References 12 publications

(13 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A user may publish threads frequently in a short succession, followed by a long period of waiting time in which no posts and replies are created by the user. This long tailed interevent time distribution agrees with the studies reported in [32], [33], which introduced a priority queue process for modeling individual decision making. In our situation, each user shares the same priority list of available posts.…”

Section: Simulation Results and Discussionsupporting

confidence: 89%

Empirical Analysis and Modeling of Users' Topic Interests in Online Forums

Xiong

Liu

2012

PLoS ONE

View full text Add to dashboard Cite

Bulletin Board Systems (BBSs) have demonstrated their usefulness in spreading information. In BBS forums, a few posts that address currently popular social topics attract a lot of attention, and different users are interested in many different discussion topics. We investigate topic cluster features and user interests of an actual BBS forum, analyzing user posting and replying behavior. According to the growing process of BBS, we suggest a network model in which each agent only replies to the posts that belong to its specific topics of interest. A post that is replied to will be immediately assigned the highest priority on the post list. Simulation results show that characteristics of our model are similar to those of the real BBS. The model with heterogeneous user interests promotes the occurrence of popular posts, and the user relationship network possesses a large clustering coefficient. Bursts and long waiting time exist in user replying behavior, leading to non-Poisson user activity pattern. In addition, the model produces an analogous evolving trend of Gini coefficients for posts' and clusters' participants as BBS forums.

show abstract

Section: Simulation Results and Discussionsupporting

confidence: 89%

Empirical Analysis and Modeling of Users' Topic Interests in Online Forums

Xiong

Liu

2012

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Traditional researches usually rely on Poisson processes to study the mechanism of user behavior since user behavior is assumed as random in time [22]. But, as the capability of data analyzing and the methods of data collection are significantly improved, more and more empirical investigations show that many behaviors including mail [23], email [24], and other internal behaviors [25] deviate from the Poisson distribution. Instead, user behavior follows powerlaw distribution which leads to phenomenon of burst.…”

Section: Model Buildingmentioning

confidence: 99%

Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog

Pan¹,

Shen²,

Zhong³

2017

Complexity

View full text Add to dashboard Cite

Mass incidents, which may influence the stability and security of the society in China, are getting more and more attentions not only from policy makers but also from Chinese social researchers. Catching the diffusion mechanism is believed to be critical to understand essential of these mass incidents since message dissemination plays important roles in every stage of mass incident. Recently, online social networks including Weibo (Chinese Twitter) become more and more popular in China. There are reports showing that Weibo discussion has accompanied the processes of most mass incidents happening in China in these few years. So, in this paper, we aim at introducing -Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user's actions when mass incident happens. This work can help people understand how mass incident messages spread across the network. And then, people may have better strategy to manage the diffusion of mass incidents.

show abstract

“…Maintaining a blog is more like one-way publishing instead of two-way communication. In contrast, on the BBS, new threads are created virtually every second (Yu, Hu, Yu, & Di, 2010). In the process of viewing and replying, people with common interests are gathered under the same post on the BBS, thus creating a temporal group (Yu et al, 2010).…”

Section: Lonelinessmentioning

confidence: 99%

“…In contrast, on the BBS, new threads are created virtually every second (Yu, Hu, Yu, & Di, 2010). In the process of viewing and replying, people with common interests are gathered under the same post on the BBS, thus creating a temporal group (Yu et al, 2010). Lonely people may feel more connected to others while on BBS, and thus may feel that it is easier to gain social support from others.…”

Section: Lonelinessmentioning

confidence: 99%

Gratification Opportunities, Self-Esteem, and Loneliness in Determining Usage Preference of BBS and Blogs Among Teenagers in China

Huang

Leung

2012

Atlantic Journal of Communication

View full text Add to dashboard Cite

Results from a convenient sample of 301 teenagers found three gratification opportunities for bulletin board systems (BBS; synchroneity, personalization, and circulation) and four gratification opportunities for web logs (blogs; multifunction, stability, circulation, and message management). Discriminant analysis showed that blog users placed more value on the ability of being able to personalize content and to be easily accessible by a group of known friends and interested visitors, whereas BBS users preferred the open, diverse, and larger audience size of BBS for debate and discussion. Data supported the idea that those who scored low in self-esteem tended to be heavy bloggers, whereas loneliness had no effect on preference and level of use. In short, this study further strengthens the notion that it is the attributes of media or the gratification opportunities, rather than the attributes of users, that help explain the level and preference of computer-mediated communication use.

show abstract

Analyzing netizens’ view and reply behaviors on the forum

Cited by 25 publications

References 12 publications

Empirical Analysis and Modeling of Users' Topic Interests in Online Forums

Empirical Analysis and Modeling of Users' Topic Interests in Online Forums

Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog

Gratification Opportunities, Self-Esteem, and Loneliness in Determining Usage Preference of BBS and Blogs Among Teenagers in China

Contact Info

Product

Resources

About