Conference Information

ASONAM 2027: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Submission Date:
Notification Date:
Conference Date:
2027-08-23
Location:
Athens, Greece
Years:
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ICORE: B   QUALIS: B4   Viewed: 54282   Tracked: 17   Attend: 4
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Conference Partner Index (CP-I)

63.8 / 100
Ranked #481 of 5,696 conferences · Top 9%

#20 of 253 in Information Systems & Web

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
81
Community attention (10%)
42
Public record completeness (15%)
55

Inputs used: Listed as ICORE B, QUALIS B4 · Editions on record: 19 · Researchers following it here: 17 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-14

Call For Papers

ASONAM 2027 (IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining) is a ICORE B / QUALIS B4 conference held in Athens, Greece on 2027-08-23.

The 19th International Conference on Advances in Social Network Analysis and Mining (ASONAM) provides an interdisciplinary forum to bring together researchers and practitioners from all fields related to Social Networking Analysis and Mining. The conference is a venue for presenting original research results, as well as discussing and disseminating innovative and practical development experiences. ASONAM 2026 seeks to address important problems through the scientific investigation of socio-technical systems, the development of fundamental technologies, and the study of emerging applications associated with social networking analysis and mining. To fully embrace the fast-growing and vigorously dynamic landscape of social networks and their applications, ASONAM is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense. Topics Social and media analysis (e.g., data science, communications, economics, sociology, psychology, anthropology, applied linguistics, etc.) Network science (e.g., mathematical models, theory, algorithms, etc.) Machine Learning and AI applied to social networks (e.g., graph neural networks, representation learning, etc.) Technology and applications (e.g., systems, tools, crowdsourcing, etc.)
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CFuture Generation Computer Systems5.9Elsevier0167-739X

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