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COMPLEX NETWORKS 2026
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COMPLEX NETWORKS 2026
Wed Dec 02, 2026 to Fri Dec 04, 2026
University of Granada (UGR), Avenida del Hospicio, Grenade, Espagne
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Authors (Until October 15, 2026)
Each accepted contribution need to be registered
Paper Registration (Early)
Ends in 113 days
At least one author of each accepted paper must be registered by the author registration deadline in order for that contribution to appear in the proceedings and to be scheduled for presentation.
Registration deadline: October 15, 2026
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700.00
€
Included
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Extended Abstract Registration (Early)
Ends in 113 days
At least one author of each Extended Abstract must be registered by the author registration deadlinein order for that contribution to appear in the book of abstract and to be scheduled for presentation.
Submissio Registration deadline: October 15, 2026
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550.00
€
Included
0
1
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Extra Paper Registration
The Extra Paper registration rate applies only once per full registration.
Authors with 3 accepted submissions must register twice
1 registration for one submission and one extra submission
1 registration for the third submission
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350.00
€
Included
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Extra Extended Abstract Registration
Extra abstract registration rate is applicable only once for each full registration. Authors with 3 accepted submissions must register two times
1 registration for one submission and one extra submission
1 registration for the third submission
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275.00
€
Included
0
1
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Extra page Fee
Extra Page Fee (max 2 pages over the 12 pages limit)
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100.00
€
Included
0
1
2
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Other Attendees (Until October 15, 2026)
Academic Attendee (Early)
Ends in 113 days
Other Author of a contribution or attendee with no contribution.
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550.00
€
Included
0
1
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Non-Academic Attendee (Early)
Ends in 113 days
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750.00
€
Included
0
1
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Non-Author Student (Early)
Ends in 113 days
Student fee is for non-author attendees. It is not available for authors of papers and abstract
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350.00
€
Included
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1
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Tutorial Attendee
Tutorial are scheduled December 01, 2026
Fariba KARIMI
Network Inference and Reconstruction : We will provide a concise introduction to principled techniques for the detection of patterns and formation mechanisms from network data, grounded in Bayesian statistical inference and information theory. We will learn how to distinguish structure from statistical noise, how to perform uncertainty quantification, and to compare different generative models. We will also see how these ideas can be extended to reconstruct networks; both when their structure is measured directly but unreliably, and also when the structure is not measured directly at all, and needs to be uncovered from time-series or other indirect non-network data.
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100.00
€
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1
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Huijuan WANG
Longitudinal language processing from user generated content: In most of the tasks and models that we have made great progress within NLP in recent years, there isn't a notion of time. However many tasks are sensitive to changes and temporality in real world data, especially when pertaining to individuals, their behaviour and their evolution over time, as is the case with user generated content and social media data. I will introduce a programme of work on longitudinal natural language processing. This consists in developing natural language processing methods to: (1) represent individuals over time from their language and other heterogenous content (2) capture changes in individuals' behaviour over time (3) generate and evaluate synthetic data from individuals' content over time (4) summarise the progress of an individual over time, incorporating information about changes.
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100.00
€
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0
1
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Fariba KARIMI & Huijuan WANG
1) Network Inference and Reconstruction
Tiago DE PAULA PEIXOTO
CEU Vienna, Austria
2) Longitudinal language processing from user generated content
Maria LIAKATA
Queen Mary University of London, UK
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150.00
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Other Fees
Extra Dinner Banquet (for guests)
One Dinner Banquet ticket is included in the registration. Extra tickets are requested for guests.
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70.00
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