Robustness Evaluation of the Open Source Product Community Network Considering Different Influential Nodes

稳健性(进化) 计算机科学 中间性中心性 复杂网络 分布式计算 数据挖掘 计算机网络 数学 中心性 统计 生物化学 基因 万维网 化学
作者
Hongli Zhou,Siqing You,Mingxuan Yang
出处
期刊:Entropy [Multidisciplinary Digital Publishing Institute]
卷期号:24 (10): 1355-1355 被引量:1
标识
DOI:10.3390/e24101355
摘要

With the rapid development of Internet technology, the innovative value and importance of the open source product community (OSPC) is becoming increasingly significant. Ensuring high robustness is essential to the stable development of OSPC with open characteristics. In robustness analysis, degree and betweenness are traditionally used to evaluate the importance of nodes. However, these two indexes are disabled to comprehensively evaluate the influential nodes in the community network. Furthermore, influential users have many followers. The effect of irrational following behavior on network robustness is also worth investigating. To solve these problems, we built a typical OSPC network using a complex network modeling method, analyzed its structural characteristics and proposed an improved method to identify influential nodes by integrating the network topology characteristics indexes. We then proposed a model containing a variety of relevant node loss strategies to simulate the changes in robustness of the OSPC network. The results showed that the proposed method can better distinguish the influential nodes in the network. Furthermore, the network’s robustness will be greatly damaged under the node loss strategies considering the influential node loss (i.e., structural hole node loss and opinion leader node loss), and the following effect can greatly change the network robustness. The results verified the feasibility and effectiveness of the proposed robustness analysis model and indexes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zzrg发布了新的文献求助10
刚刚
2秒前
2秒前
3秒前
3秒前
3秒前
Ava应助yiyiyi采纳,获得10
3秒前
喜悦的梦芝完成签到,获得积分10
6秒前
6秒前
wanci应助LLXY采纳,获得15
7秒前
7秒前
廖廖完成签到,获得积分10
8秒前
9秒前
Kane完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
12秒前
13秒前
Kane发布了新的文献求助10
14秒前
所所应助生动的豆芽采纳,获得20
14秒前
15秒前
16秒前
王明月完成签到 ,获得积分10
17秒前
xin发布了新的文献求助10
19秒前
19秒前
21秒前
丘比特应助肯瑞恩哭哭采纳,获得10
21秒前
努力乘凉发布了新的文献求助10
23秒前
23秒前
jiangchuansm完成签到,获得积分10
23秒前
23秒前
科目三应助冷静的梦芝采纳,获得10
25秒前
LLXY完成签到,获得积分10
25秒前
Zoe发布了新的文献求助10
25秒前
26秒前
妍妍完成签到,获得积分10
27秒前
喜悦傀斗发布了新的文献求助10
27秒前
墩墩发布了新的文献求助10
27秒前
科研通AI5应助李娜采纳,获得50
27秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3976177
求助须知:如何正确求助?哪些是违规求助? 3520366
关于积分的说明 11202745
捐赠科研通 3256847
什么是DOI,文献DOI怎么找? 1798509
邀请新用户注册赠送积分活动 877704
科研通“疑难数据库(出版商)”最低求助积分说明 806516