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Social Network Analysis And Mining

Social Network Analysis And MiningSCIE

国际简称:SOC NETW ANAL MIN  参考译名:社会网络分析与挖掘

  • CiteScore分区

    Q1

  • JCR分区

    Q3

基本信息:
ISSN:1869-5450
E-ISSN:1869-5469
是否OA:未开放
是否预警:否
出版信息:
出版商:Springer Nature
出版语言:English
研究方向:COMPUTER SCIENCE, INFORMATION SYSTEMS
评价信息:
影响因子:2.3
CiteScore指数:5.7
SJR指数:0.67
SNIP指数:1
发文数据:
Gold OA文章占比:23.36%
研究类文章占比:91.45%
年发文量:152
英文简介 期刊介绍 CiteScore数据 JCR分区 发文数据 常见问题

英文简介Social Network Analysis And Mining期刊介绍

Social Network Analysis And Mining is an academic journal dedicated to the field of social network analysis and mining, aiming to provide a platform for researchers, scholars, and practitioners to exchange and share the latest research results, theoretical progress, and practical applications. In this rapidly developing field, the magazine is committed to promoting research and application of social network analysis and mining, in order to contribute to the development and progress of human society. Social network analysis and mining is an interdisciplinary research field that involves multiple disciplines such as computer science, sociology, psychology, and economics. With the popularity of the Internet and social media, social networks have become an important part of people's daily life. Therefore, the study of social networks has important theoretical and practical significance. By analyzing and mining social networks, we can better understand phenomena such as interpersonal relationships, information dissemination, and group behavior, providing strong support for policy-making, marketing, public safety, and other fields.

期刊简介Social Network Analysis And Mining期刊介绍

《Social Network Analysis And Mining》该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

  • 预计审稿时间:
  • SCIE
  • 非预警

Cite Score数据(2024年最新版)Social Network Analysis And Mining Cite Score数据

  • CiteScore:5.7
  • SJR:0.667
  • SNIP:0.999
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Communication Q1 61 / 511

88%

大类:Social Sciences 小类:Media Technology Q1 15 / 63

76%

大类:Social Sciences 小类:Information Systems Q2 129 / 394

67%

大类:Social Sciences 小类:Computer Science Applications Q2 274 / 817

66%

大类:Social Sciences 小类:Human-Computer Interaction Q2 68 / 145

53%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

JCR分区Social Network Analysis And Mining JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q3 133 / 249

46.8%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, INFORMATION SYSTEMS ESCI Q3 129 / 251

48.8%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

本刊中国学者近年发表论文

  • 1、Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation

    Author: Huang, Shaowei; Wu, Xiangping; Wu, Xiangyang; Wang, Ke

    Journal: SOCIAL NETWORK ANALYSIS AND MINING. 2023; Vol. 13, Issue 1, pp. -. DOI: 10.1007/s13278-023-01076-x

投稿常见问题