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Effect of direct reciprocity and network structure on continuing prosperity of social networking services

机译:直接互惠和网络结构对社交网络服务持续繁荣的影响

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Abstract Background Social networking services (SNSs) are widely used as communicative tools for a variety of purposes. SNSs rely on the users’ individual activities associated with some cost and effort, and thus it is not known why users voluntarily continue to participate in SNSs. Because the structures of SNSs are similar to that of the public goods (PG) game, some studies have focused on why voluntary activities emerge as an optimal strategy by modifying the PG game. However, their models do not include direct reciprocity between users, even though reciprocity is a key mechanism that evolves and sustains cooperation in human society. Proposed methods We developed an abstract SNS model called the reciprocity rewards and meta-rewards games that include direct reciprocity by extending the existing models. Then, we investigated how direct reciprocity in an SNS facilitates cooperation that corresponds to participation in SNS by posting articles and comments and how the structure of the networks of users exerts an influence on the strategies of users using the reciprocity rewards game. Experimental results We run reciprocity rewards games on various complex networks and an instance network of Facebook and found that two types of stable cooperation emerged. First, reciprocity slightly improves the rate of cooperation in complete graphs but the improvement is insignificant because of the instability of cooperation. However, this instability can be avoided by making two assumptions: high degree of fun, i.e. articles are read with high probability, and different attitudes to reciprocal and non-reciprocal agents. We then propose the concept of half free riders to explain what strategy sustains cooperation-dominant situations. Second, we indicate that a certain WS network structure affects users’ optimal strategy and facilitates stable cooperation without any extra assumptions. We give a detailed analysis of the different characteristics of the two types of cooperation-dominant situations and the effect of the memory of reciprocal agents on cooperation.
机译:背景技术社交网络服务(SNS)被广泛用作各种目的的通信工具。 SNS依赖于用户的个人活动以及一些成本和精力,因此不知道为什么用户自愿继续参与SNS。由于SNS的结构类似于公共产品(PG)游戏的结构,因此一些研究集中于为何通过修改PG游戏将自愿活动作为一种最佳策略出现的原因。但是,即使互惠是在人类社会中发展和维持合作的关键机制,其模型也不包括用户之间的直接互惠。建议的方法我们通过扩展现有模型,开发了一个名为互惠奖励和元奖励游戏的抽象SNS模型,该模型包括直接互惠。然后,我们研究了SNS中的直接互惠如何通过发布文章和评论来促进与参与SNS相对应的合作,以及用户网络的结构如何对使用互惠奖励游戏的用户策略产生影响。实验结果我们在Facebook的各种复杂网络和实例网络上运行对等奖励游戏,发现出现了两种类型的稳定合作。首先,互惠会稍微提高完整图中的合作率,但由于合作的不稳定性,因此改进微不足道。但是,可以通过以下两个假设来避免这种不稳定性:高度的趣味性,即以高概率阅读商品,以及对双向和非双向代理的不同态度。然后,我们提出了半程免费乘车的概念,以解释哪种策略可以维持以合作为主导的情况。其次,我们指出某种WS网络结构会影响用户的最佳策略,并在没有任何额外假设的情况下促进稳定的合作。我们详细分析了两种类型的合作占主导地位的情况的不同特征,以及互惠代理的记忆对合作的影响。

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