A Hybrid Mechanism for Innovation Diffusion in Social Networks

A Hybrid Mechanism for Innovation Diffusion in Social Networks
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社交网络中创新扩散的混合机制

DOI:
10.1109/access.2016.2610101
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发表时间:
2016-09
期刊:
影响因子:
3.9
通讯作者:
Wang Jinzhong
Wang Jinzhong
中科院分区:
计算机科学3区
文献类型:
--
作者:
Zhang Jun;Xia Feng;Ning Zhaolong;Bekele Teshome Megersa;Bai Xiaomei;Su Xiaoyan;Wang Jinzhong

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创新扩散是人们对新事物的采用过程,也就是人类行为的扩散。以往的研究主要是将信息扩散与信息传播区分不清。然而,在社会和经济领域都存在着重大差异。受此启发,我们提出了一种基于行为扩散过程的创新扩散方法,该方法将阈值模型与社会模仿策略相结合。我们提出的模型的主要目标是联合收割机个人的经济以及社会特征来研究创新扩散。这两个战略的相互作用进行了研究的背景下,协调博弈。通过对ErdoS-Re ́nyi随机网络和小世界网络的仿真,我们发现这两种方法的结合可以大大提高创新扩散的效率。此外,我们还进一步研究了不同初始种子选择策略对创新扩散总体绩效的影响。
Innovation diffusion is the process of adopting novel things, which is deemed as the diffusion of human behaviors. Previous studies mainly posit an unclear distinction with information diffusion. However, there exist critical differences in both social and economic areas. Inspired by this observation, we propose a practical method for innovation diffusion based on the process of behavior diffusion, which integrates threshold model with social imitation strategy. The primary goal of our proposed model is to combine individuals' economic as well as social characteristics to study innovation diffusion. The interplay of these two strategies is studied in the context of a coordination game. According to the simulation results on Erdös-Rényi random networks and small-world networks, we find that the conjunction of these two approaches can greatly improve the efficiency of innovation diffusion. In addition, we further study the impacts of varied initial seeds' selection strategies on the overall performance of innovation diffusion using our proposed model.
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