Social Network Analysis and Mining

metrics 2024

Bridging Communication and Technology Through Analysis

Introduction

Social Network Analysis and Mining, published by SPRINGER WIEN, is a premier journal dedicated to the advanced study and application of social network analysis and data mining methodologies within the fields of communication, computer science, and media technology. With rigorous peer-review standards and a 2023 category ranking within the Q1 quartile for Communication and various Q2 rankings across Computer Science and Human-Computer Interaction, this journal not only highlights cutting-edge research but also influences current trends and methodologies in the discipline. The journal's articles are accessible through subscription, ensuring a broad reach among academic institutions and professionals. Covering converged years from 2011 to 2024, Social Network Analysis and Mining serves as an essential resource for researchers, practitioners, and students seeking to deepen their understanding of social networks’ roles in information systems and digital communication, reflecting significant insights from its Scopus rankings that position it at a high percentile among related fields.

Metrics 2024

SCIMAGO Journal Rank0.67
Journal Impact Factor2.30
Journal Impact Factor (5 years)2.50
H-Index48
Journal IF Without Self2.30
Eigen Factor0.00
Normal Eigen Factor0.48
Influence0.51
Immediacy Index0.70
Cited Half Life3.70
Citing Half Life5.40
JCI0.62
Total Documents1118
WOS Total Citations1973
SCIMAGO Total Citations6595
SCIMAGO SELF Citations644
Scopus Journal Rank0.67
Cites / Document (2 Years)3.49
Cites / Document (3 Years)3.63
Cites / Document (4 Years)3.69

Metrics History

Rank 2024

Scopus

Communication in Social Sciences
Rank #61/511
Percentile 88.06
Quartile Q1
Media Technology in Engineering
Rank #15/63
Percentile 76.19
Quartile Q1
Information Systems in Computer Science
Rank #129/394
Percentile 67.26
Quartile Q2
Computer Science Applications in Computer Science
Rank #274/817
Percentile 66.46
Quartile Q2
Human-Computer Interaction in Computer Science
Rank #68/145
Percentile 53.10
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 133/249
Percentile 46.80
Quartile Q3

JCI (Web Of Science)

COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 129/251
Percentile 48.61
Quartile Q3

Quartile History

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