Journal profile · COMPUTER SCIENCE, INFORMATION SYSTEMS
Social Network Analysis and Mining
ISSN 1869-5450 · eISSN 1869-5469 · Springer Nature
Social Network Analysis and Mining: CAS Zone 4 · Computer Science (2025 upgraded edition); impact factor 3.2 (journal website); hybrid open access; APC about USD 3,190; median 138 days to acceptance (87 articles, last 24 months); 144 articles in 2025; indexed in ESCI and Scopus.
Scope
Aims, scope and focus
Social Network Analysis and Mining is published by Springer Nature and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Complex Network Analysis Techniques, Opinion Dynamics and Social Influence and Misinformation and Its Impacts, together about 42.5% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)
Aims and scopeSocial Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers, educators, policymakers, professionals, and everyone interested in the data-driven network domain from the academia, the public sector, the private sector, and the general public. SNAM is the main venue for a wide range of researchers, practitioners and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management, and political sciences. We solicit practical, experimental and theoretical works on data-driven network analysis and mining using a wide range of techniques from social sciences, mathematics, statistics, physics, network science, data science and computer science.The main areas covered by SNAM include, but not limited to:(1) data mining, machine learning, deep learning, large language models and artificial intelligence advances on the discovery and analysis of communities, personalization for solitary activities (e.g. search) and social activities (e.g. discovery of potential friends), the analysis of user behavior in open forums (e.g. conventional sites, blogs and forums) and in commercial platforms (e.g. e-auctions), and the associated ethics, legal issues, security and privacy-preservation challenges;(2) social network modeling, simulation, and analysis, as well as the understanding of social systems from the quantitative and/or computational perspective (3) the construction of scalable and customizable social networking infrastructure, the identification and discovery of complex, dynamic growth, and evolution patterns using machine/deep learning, LLMs, and data mining approaches or multi-agent-based simulation(4) social network analysis and mining for open-source intelligence, cybersecurity, and homeland security. Submissions should elaborate on data mining and machine/deep learning, LLMs or related methods, issues associated to data preparation and pattern interpretation, both for multi-source conventional data (usage logs, query logs, document collections) and multimedia data (pictures and videos with their annotations, multi-channel usage data, etc.).Topics covered by SNAM include, but are not limited to: Applications of social network in business engineering, scientific and medical domains, homeland security, terrorism and criminology, fraud detection, public sector, politics, and case studies Anomaly and outlier detection in social media and networks
From the journal's Aims & Scope
Research area (LetPub): COMPUTER SCIENCE, INFORMATION SYSTEMS
Editor-in-chief Reda AlhajjPublisher website
Editorial board by country: 3 in mainland China (about 4%); most named United States 19, Canada 10, Italy 9, Taiwan, China 4, France 4 (84 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Complex Network Analysis TechniquesPhysics and Astronomy22.2%
- Opinion Dynamics and Social InfluencePhysics and Astronomy12.2%
- Misinformation and Its ImpactsSocial Sciences8.1%
- Sentiment Analysis and Opinion MiningComputer Science7.8%
- Spam and Phishing DetectionComputer Science7%
- Social Media and PoliticsSocial Sciences4.5%
- Advanced Graph Neural NetworksComputer Science4.1%
- Advanced Text Analysis TechniquesComputer Science3.7%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 4
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 4 |
| Minor | Computer Science, Information Systems | Zone 4 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Information Systems | Zone 3 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Not covered
Not covered by this edition.
Database indexing
ESCIScopusLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
EI CompendexINSPECDBLPPublisher website
Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor (publisher) 2025
- 3.2Publisher website ·
- 5-year impact factor (publisher) 2025
- 3.2Publisher website ·
- CiteScore 2026-06
- 8.4LetPub ·
- SJR 2026-06
- 0.68LetPub ·
- SNIP 2026-06
- 1.37LetPub ·
- h-index
- 70OpenAlex ·
- i10-index
- 720OpenAlex ·
- 2-year mean citedness
- 5.67OpenAlex ·
- Self-citation rate
- 3.1%LetPub ·
- Share of gold OA articles
- 44.49%LetPub ·
Volume
- Articles per year
- 140LetPub ·
- Downloads per year (publisher) 2025
- 695,900Publisher website ·
Articles by year OpenAlex count · 1,612 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 80 | 80 | 116 |
| 2025 | 144 | 144 | 643 |
| 2024 | 224 | 72 | 1,781 |
| 2023 | 155 | 69 | 2,864 |
| 2022 | 168 | 99 | 2,672 |
| 2021 | 140 | 62 | 3,383 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
138 daysMedian, submission to acceptance · P25–P75 95 days – 169 days
- Acceptance to online
- median 35 days (87 articles)
- Submission to online
- median 190 days
- Sample
- 87 articles with submission and acceptance dates (276 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Submission to first decision
- 4 daysPublisher website ·
- Peer review
- Double anonymous peer reviewPublisher website
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Hybrid open accessLetPub
A subscription journal in which authors can pay to publish their article open access.
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| OpenAlex | USD 3,190 / EUR 2,590 / GBP 2,290 | — | — |
A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
Open calls for papers3, by deadline
Publisher websiteWhat to prepare5 items from the author guidelines
- Abstract
- 150–250 words
- Keywords
- ≥ 4
- Reference style
- Author–date
- First submission
- Free format: the journal's layout is not required
- Suggested reviewers
- Optional
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access
- AI use Generative AI Images
LLMs do not satisfy authorship criteria; use must be documented in Methods Model summary
Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top
Source ↗Publisher website ·- Authorship Authorship principles
These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…
Source ↗Publisher website ·- Conflicts of interest Disclosures and declarations
Competing interests disclosure required Model summary
All authors are requested to include information regarding sources of funding, financial or non-financial interests, study-specific approval by the appropriate ethics committee for research involving humans and/or animals, informed consent if the research involved human participants, and a statement on welfare of animals if the research involved animals (as appropriate). The decision whether such …
Source ↗Publisher website ·- Data availability Data availability statements
Data availability statement required for all original research Model summary
All original research must include a data availability statement. This statement should explain how to access data supporting the results and analysis in the article, including links/citations to publicly archived datasets analysed or generated during the study. Please see our full policy here. If it is not possible to share research data publicly, for instance when individual privacy could be com…
Source ↗Publisher website ·- Publication ethics Compliance with Ethical Standards
Journal is a COPE member and follows COPE guidelines Model summary
To ensure objectivity and transparency in research and to ensure that accepted principles of ethical and professional conduct have been followed, authors should include information regarding sources of funding, potential conflicts of interest (financial or non-financial), informed consent if the research involved human participants, and a statement on welfare of animals if the research involved an…
Source ↗Publisher website ·- License & copyright
Permission required for previously published material Model summary
Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) for both the print and online format and to include evidence that such permission has been granted when submitting their papers.
Source ↗Publisher website ·- Open access Open access publishing
To find out more about publishing your work Open Access in Social Network Analysis and Mining, including information on fees, funding and licences, visit our Open access publishing page. Back to top
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Springer Nature
- ISSN
- 1869-5450
- Electronic ISSN
- 1869-5469
- Official links
- Journal homepage ↗OpenAlex
- Author guidelines ↗LetPub
- Special issues ↗Publisher website
FAQ
Frequently asked questions about Social Network Analysis and Mining
What CAS zone is Social Network Analysis and Mining in?
In the 2025 upgraded edition of the CAS Journal Ranking, Social Network Analysis and Mining is in Zone 4 of Computer Science, and in Zone 4 of the minor category Computer Science, Information Systems. In the 2026 Xinrui edition it is in Zone 3 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Social Network Analysis and Mining?
The journal's website gives an impact factor of 3.2 (2025); this is the journal's own figure, as LetPub lists none for it; CiteScore 8.4, h-index 70.
How long does peer review take at Social Network Analysis and Mining?
Based on the dates recorded on 87 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 138 days (interquartile range 95–169 days). Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
What are the manuscript requirements of Social Network Analysis and Mining?
According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Author–date; First submission: Free format: the journal's layout is not required; Suggested reviewers: Optional. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.
Where are the editorial board members of Social Network Analysis and Mining based?
Of the 84 board members whose country the journal's board page names, 3 (about 4%) are in mainland China; the countries named most often are United States (19), Canada (10) and Italy (9). Counted from the institutions listed on the board page; for reference only.
Which databases index Social Network Analysis and Mining?
According to LetPub and DOAJ records, Social Network Analysis and Mining is indexed in ESCI and Scopus. The journal's website also lists EI Compendex, INSPEC and DBLP; that list has not been checked against each database.
Is Social Network Analysis and Mining open access, and what is the APC?
Social Network Analysis and Mining is a hybrid journal. For open-access publication: APC about USD 3,190.
Sources and updates
The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-26). Last updated: .