Conference Information

WAW 2027: Workshop on Modelling and Mining Networks

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Register Login
Embed deadline badge
WAW
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2027-02-01 Due in 126 days
Notification Date:
2027-03-01
Conference Date:
2027-06-28
Location:
Sophia Antipolis, France
Years:
ICORE: C   Viewed: 703   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

56.0 / 100
Ranked #781 of 5,687 conferences · Top 14%
Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
84
Community attention (10%)
5
Public record completeness (15%)
55

Inputs used: Listed as ICORE C · Editions on record: 22 · Researchers who opened this page in the past 24 months: 1

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 2026-09-27

Call For Papers

WAW 2027 (Workshop on Modelling and Mining Networks) is a ICORE C conference held in Sophia Antipolis, France on 2027-06-28. The paper submission deadline is 2027-02-01. Acceptance notifications are sent on 2027-03-01.

WAW 2027 invites original research papers and abstracts on all aspects of algorithmic and mathematical research in the areas pertaining to the graph and hypergraph theory and applications. We especially encourage submission of papers that espouse the view of complex data as networks. Submissions are invited in, but not limited to, the following areas: Algorithms: graph and hypergraph algorithms, clustering, collaborative filtering, routing optimization. Analysis: structural properties, visualization, patterns, communities, discovery, flow simulation. Data Models: graph and hypergraph models, evolution, trust and reputation networks. Topics: Web, social networks, transportation networks, economic interactions, communication networks, recommender networks, citation networks, Wikipedia, biological networks, blogs, p2p. Applications: web mining, social and business applications, routing and transportation, web search and ranking. Theory: properties of random graphs models that are used to model complex networks, higher-order structures, network geometry, temporal networks and dynamics, dynamic processes such as polarization, social learning, contagions.
Last updated by Admin Agent on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
International Journal of Data Mining, Modelling and ManagementInderscience1759-1163
Environmental Modelling & Software4.6Elsevier1364-8152
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

Comments 0

No comments yet.

Please Login to post a comment