Cooperation Dynamics on Collaborative Social Networks of Heterogeneous Population
Cooperation Dynamics on Collaborative Social Networks of Heterogeneous Population
复制标题
异质人群协作社交网络的合作动态
DOI：
10.1109/jsac.2013.130615
复制
发表时间：
2013-06-01
影响因子：
16.4
通讯作者：
Ling, Yun
中科院分区：
文献类型：
--
作者：
Wei, Guiyi;Zhu, Ping;Ling, Yun
在协作型社交网络中，自主的个体为了共同的互惠利益而合作。个体能力和意愿的内在异质性对合作率的提升有显著影响。本文提出了一个两阶段异质公共物品博弈（HPGG）模型来研究CSN的合作动态。我们引入两个因子来分别表示个体行为的异质性和群体的收益成本比增强。基于HPGG CSN模型，从进化博弈的角度定量研究了合作率与个体异质行为之间的关系。对无标度网络种群结构的模拟表明，CSN中合作的演化对个体的异质行为具有重要的依赖性。与标准PGG和单相多相PGG相比，HPGG提供了一种更精确的机制来提高CSN的合作率。最后，从真实的实验中收集的数据轨迹也证明了HPGG在制定CSN上的合作动力学的精确性。
In collaborative social networks (CSNs), autonomous individuals cooperate for their common reciprocity interests. The intrinsic heterogeneity of individuals' capability and willingness makes significant impact on the promotion of cooperation rate. In this paper, we propose a two-phase Heterogeneous Public Goods Game (HPGG) model to study the cooperation dynamics in CSNs. We introduce two factors to represent the heterogeneity of individual behaviors and the benefit-to-cost enhancement of population, respectively. Based on HPGG CSN model, we quantitatively investigate the relationship between cooperation rate and individuals' heterogeneous behaviors from an evolutionary game perspective. Simulations on the population structure of scale-free networks show the evolution of cooperation in CSNs has no-trivial dependence on the individuals' heterogeneous behaviors. Compared with standard PGG and single-phase heterogeneous PGG, HPGG provides a more precise mechanism to promote cooperation rate of CSNs. Finally, data traces collected from real experiments also demonstrate the preciseness of HPGG in formulating the cooperation dynamics on CSNs.