摘要
【目的/意义】信息扩散中关键节点的识别,以及关键节点影响力的度量有着广泛的应用前景。【方法/过程】本文通过中国流行的社交网络应用平台-"知乎"网络上信息扩散的实例分析,发现了社交网络中接近中心性指标与信息扩散的效果呈现较强的正向相关性。这表明企业可以根据网络用户在社交网络中的接近中心性指标值来预测/判断其影响力。【结果/结论】因此,本文提出接近中心性指标值高的非"明星"节点为信息扩散中的隐形关键节点。最后,通过仿真模拟信息在社交网络中的扩散过程和结果,对隐形关键节点的影响力进行了量化和评价,进一步确定了隐形关键节点的价值和效率。
【Purpose/significance】The identification of key nodes and the measurement of their influences in information diffusion process have a remarkable application potential.【Method/process】This paper investigates the information diffusion process in one of most popular online social media, Zhihu, and finds a strong positive correlation between the closeness centrality and the diffusion of information in the social network.This implies that the closeness centrality of a user node can be used to quantify his influence in a social network.【Result/conclusion】Therefore, a ＂non-star＂ node with a high closeness centrality can be treated as an invisible key node in the information diffusion process.Finally, by simulating the diffusion process in a social network, the influences of the invisible key nodes are quantified and evaluated, and the value and efficiency of the invisible key nodes are further determined.
出处
《情报科学》
CSSCI
北大核心
2018年第3期138-143,共6页
Information Science
基金
国家自然科学基金(71572070)
广东省自然科学基金(2014A030313262)
中央高校基本科研业务费专项资金(暨南启明星计划15JNQM003)
关键词
信息扩散
SIR模型
接近中心性
多智能体仿真
information diffusion
SIR model
Closeness Centrality
Multi-Agent Based Simulation
