Knowledge communication model of social network with user cooperation and leadership encouragement

Qiuyang GU; Chunhua JU; Gongxing WU

doi:10.11959/j.issn.1000-0801.2020284

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Knowledge communication model of social network with user cooperation and leadership encouragement

Operation Technology | 更新时间：2024-06-05

- Knowledge communication model of social network with user cooperation and leadership encouragement
- Telecommunications Science Vol. 36, Issue 10, Pages: 172-182(2020)
- 作者机构：
  
  1. 浙江工业大学管理学院，浙江杭州 310023
  2. 浙江工商大学管理工程与电子商务学院，浙江杭州 310018
  3. 浙江工商大学统计学院，浙江杭州310018
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020284
  CLC： G206
- Published Online：2020-10，
  
  Published：20 October 2020
- 稿件说明：
移动端阅览
Qiuyang GU, Chunhua JU, Gongxing WU. Knowledge communication model of social network with user cooperation and leadership encouragement[J]. Telecommunications science, 2020, 36(10): 172-182.
DOI：

Qiuyang GU, Chunhua JU, Gongxing WU. Knowledge communication model of social network with user cooperation and leadership encouragement[J]. Telecommunications science, 2020, 36(10): 172-182. DOI： 10.11959/j.issn.1000-0801.2020284.

摘要

近年，社交网络已经成为用户普遍使用的进行知识分享的媒介。对社交网络环境中的知识传播进行建模研究，以期为有关部门有效实施监管、提升用户的知识交流效率提供借鉴。以经典的SIS和SIR模型为基础，融入用户合作和领导激励等因子进行优化，并结合复制动态方程构建两种社交网络用户知识传播模型（SISL/SIRL）并进行分析，最后给出数值与模型算例。结果表明：存在领导者的社交网络知识传播速率更快。在社交网络知识传播过程中，易感染用户数量减少，免疫用户数量增加，感染用户数量小范围内上下波动。构建的知识传播模型相对于经典模型与真实社交网络具有更强的拟合性。

Abstract

In recent years

social networks have become a common medium for users to share knowledge.The knowledge communication in the social network environment was modeled and researched

with a hope to provide reference for relevant departments to effectively implement supervision and improve users’ knowledge exchange efficiency.Based on the classic SIS and SIR models

factors such as user cooperation and leadership encouragement for optimization were integrated

and the replication of dynamic equations was combined to construct and analyze two social network user knowledge communication models (SISL /SIRL).Finally

the data and model examples were given.The results show that the speed of knowledge communication is faster in social networks with leaders.In the process of social network knowledge communication

the number of vulnerable users decreases while that of the immune users increases

and the number of infected users fluctuates within a small range.Compared with the classic model and the real social network

the knowledge communication model constructed has a stronger fit.

关键词

Keywords

references

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