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With the development of the network, virtual economy is booming, but the absence of reverse exchange mechanism of virtual money restricts the virtual economy. In this paper, first we discuss the current situation and the negative effect resulted from the third-party platform on the profit of issuers and the virtual economy, then by analyzing the advantages and disadvantages of the existed reverse...
In parallel to the exponential growth of the gaming industry, video game live-streaming is rising as a major form of online entertainment. Gathering a heterogeneous community, the popularity of this new media led to the creation of web services just for streaming video games, such as Twitch. TV. In this paper, we propose a model to characterize how streamers and spectators behave, based on their possible...
In this paper we describe the tool we have developed to visualise experimental data on top of the multi-agent simulation platform Presage2 and how we have used it with our Social Capital Framework. The visualisation demonstrates how social capital can be used to self-organise solutions to collective actions problems.
For the past decades, people combine both environmental learnings (observations) and social learnings (intercommunication links) in their decision process. People in the communities face limitations or conditions which have effects on their decisions. In this paper, we present a multigenerational social learning model to analyse a world with some limitations. Then we turn the world to a free world...
The aim of this study is to investigate the relationship between online gaming behavior and special underlying social group structures through the use of player information of a certain MMORPG. Data were collected from the logs of an MMORPG in 2011, recording five types of gaming behaviors, player gender, avatar gender and avatar occupation types to investigate whether different avatars affect gaming...
Based on three evolutionary computational models that respectively simulate lexical, categorical and syntactic evolutions, we explore the effect of power-law distributed social popularity on language origin and change. Simulation results reveal a critical scaling degree (λ ≈ 1.0) in power-law distributions that helps accelerate the diffusion of linguistic conventions and preserve high linguistic understandability...
In this paper, we investigate the parochialism in dynamic spectrum access networks and its effect on spectrum resource competition and self-coexistence among cognitive radio secondary users. We assume that some greedy secondary users in the network form a parochial community in private and try to maximize their own utilities without concern for the interests of other secondary users outside the community...
The purpose of this research is to address the evolution of enterprise communities in the network society. Based on evolutionary game theory (EGT) and complex adaptive system (CAS) theory, this paper built an evolutionary game model of enterprise communities, and realized the simulation by Swarm. The results show that the evolution of enterprise communities is a dynamic adaptive process. Under the...
Delay tolerant networks (DTNs) can be composed of multiple heterogeneous groups (i.e., communities) of nodes. The nodes from these communities can cooperate with each other in order to carry and forward data packets so that the performance (e.g., delay) can be improved. However, this cooperation will incur additional cost on the nodes. In this paper, we first develop an analytical model to investigate...
The trust management mechanism based on seller coalition and consumer virtual community is discussed in this paper, which is verified valid by game theory. The seller tends to carry out an honest transaction because of the increased opportunity cost in the mechanism, and consumers feedback transaction information positively because of the identity of community and the pursuit of interests, which makes...
As a knowledge sharing platform, Community Question Answering (CQA) services have attracted much attention from both academic and industry. This paper studies the problem of mining evolutionary community structures in CQA, through analysis of time-varying, multi-relational data among users and contents. We propose a unified framework for this problem, which makes the following contributions: 1) We...
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