A New Social Network Model of Online Forums
A New Social Network Model of Online Forums
复制标题
一种新的在线论坛社交网络模型
DOI：
--
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Kwang
中科院分区：
文献类型：
--
作者：
Ting;Kwang
网络舆论动态建模对于深入理解现代人类社会和未来数字社会的集体互动行为具有重要意义。一些基于网络科学或社会网络的统计模型多年前就已经为人所知。本文提出了一种新颖的网络论坛模型。与现有模型选择模糊的模型不同，我们在数学和心理学背景下进行推理，从而可以直观地识别网络模型的基本参数。本文提出的一阶适应度老化（FOAF）模型是对著名的BA模型的扩展，通过调整年轻节点的权重，更好地反映了互联网论坛的真实情况。我们成功地验证了FOAF模型和随后的整个社交网络模型具有更广泛的适用性，并更好地与真实的在线意见数据保持一致。
Modeling online opinion dynamics plays an important role toward in-depth comprehension of collective interactive behavior in modern human society and future digital society. Some statistical models based on network science or social networks have been known for years. In this paper, we propose a novel network model of online forums. Different from the existing models in which model selection is obscure, we accommodate reasoning in both mathematical and psychological contexts such that the basic parameters of the network model can be identified in an intuitive way. The proposed first-order-aging-with-fitness (FOAF) model extends from the well-known BA model, by adjusting weights for younger nodes, to better reflect the truth of Internet forums. We successfully verify the FOAF model and consequent entire social network model of wider applicability and better alignment with real online opinion data.