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===== Program =====

of the [[ev:2017:pdm|COSTNET17 conference]] in Palma de Mallorca. Talks and poster presentations will take place on the [[http://www.uib.eu/A-hospitable-university/Location/Campus/Edificis/|Mallorca Campus of the University of the Balearic Islands]] in the Son Lledó building, number 18 on [[http://www.uib.eu/A-hospitable-university/Location/Campus/Edificis/|this map]]. Program details subject to changes. 

==== Wednesday (Oct 25) ====

^ time   ^ presenting author ^ title ^
| //Action Conference// |||
| 09:00  | Wit, Klemm        | Opening, practical info |
| 09:15  | van Duijn         | Perceptions in Social Network Analysis: Statistical Modelling of Three-way Data|  
| 09:50  | Tamarit           | Emergence of social structure: a generalization of Dunbar's circles |
| 10:15  | Bajovic           | Detecting random walks on graphs with heterogeneous sensors|
| 10:40  | coffee  break ||
| 11:10  | Peixoto           | Nonparametric weighted stochastic block models   |
| 11:45  | Matias            | A semiparametric extension of the stochastic block model for longitudinal networks|
| 12:10  | Cutillo           | From Networks to Communities: a Robustness Measure |
| 12:35  | Batagelj          | The COSTNET website |
| 13:00  | lunch break       ||
| // Working Group 1: Exploring (massive) network data sets // |||
| 14:00  | see speakers and titles below, schedule to be announced by working group chairs||
| 16:00  | coffee break ||
| // Action Conference: Posters // |||
| 16:30  | tba               | flash talks advertising posters |
| 17:00  | see  list below   | poster session |



==== Thursday (Oct 26) ====

^ time ^ presenting author ^ title ^
| 09:00 | Traveset |Improving coextinction models to simulate consequences of pollinator loss on plant communities |
| 09:35 | Abbruzzo | l1-penalized Gaussian graphical model for left-censured data |
| 10:00 | Szell | Unveiling untapped potential in cities: From taxi sharing to mobility space inequality |
| 10:35 | coffee break ||
| 11:00 | see below  | working group 2: Network Modelling |
| 13:00 | lunch break       ||
| 14:00 | see below  | working group 3: Network Inference and Prediction |
| 16:00 | coffee ||

==== Friday (Oct 27) ====

^ time ^ presenting author ^ title ^
| 09:00 | Lupparelli | Regression graph models for binary non-independent  outcomes |
| 09:35 | Ibañez-Marcelo | When shape matters: Brain networks studied under a persistent homology view|
| 10:00 | Fernandez-Gracia | Gromov-Wasserstein distance of complex networks|
| 10:25 | Batagelj | Describing network evolution using probabilistic inductive classes|
| 10:35 | coffee break ||
| 11:05 | Rancoita | Bayesian networks for data imputation in survival tree analysis|
| 11:30 | Signorelli |How to integrate gene enrichment analysis with information from gene interaction networks|
| 11:55 | Stadler | Gene Trees, Species Trees, Reconciliation Maps, and Phylogenenies|
| 12:30 | closing, lunch ||


==== Meeting of working group 1: Exploring (massive) network data sets ====

^ presenting author ^ title ^
|Chrzanowska | Network Analysis of Commuting Flows in Poland|
|Cortes | From multimodal images to connectivity of brain networks in both healthy and pathological conditions|
|Cugmas | The emergence of core-cohesive peripheries blockmodel type|
|Drejerska | Network analysis of commuting flows for delimitation of functional urban areas|
|Fierascu | Corruption Networks in Post-Communist Countries. The Case of State Capture in Hungary|
|Martincic | The Multilayer Networks for Language|
|Subelj | Three forms of convexity in graphs and networks|



==== Meeting of working group 2: Network Modelling ====

^ presenting author ^ title ^
|Artime | Ageing and multiplexity in the voter model|
|Behrouzi | Dynamic Chain Graph Models for Time Series Mixed Data|
|Engebretsen | How population clustering within a country affects infectious disease spread dynamics|
|Grzegorczyk | Non-homogeneous dynamic Bayesian networks with partially edge-wise coupled interaction parameters|
|Kadilar | On the Graphical Markov Models with an Application|
|Michaud | A stochastic heterogeneous mean-field approximation of agent-based models|
|Rodriguez | Coinfection in the space: cooperative disease spreading in geometric and contact networks|

==== Meeting of working group 3:  Network Inference and Prediction ====

^ presenting author ^ title ^
|Elliott | A novel approach to network anomaly detection|
|Jarynowski | What do infection incidences tell us about connectivity of a regional healthcare network?|
|Nurushev | Local inference by penalization method for biclustering model|
|Ranciati | Mixture model under overlapping clusters: an application to network data|
|Wit | Network inference in genomics|


==== COSTNET action conference: contributed talks ====

^ presenting author ^ title ^
|Augugliaro | $\ell _1$-penalized Gaussian graphical model for left-censured data|
|Batagelj | Describing network evolution using probabilistic inductive classes|
| Bajovic | Detecting random walks on graphs with heterogeneous sensors|
|Cutillo | From Networks to Communities: a Robustness Measure|
|Fernandez-Gracia | Gromov-Wasserstein distance of complex networks|
|Ibanez-Marcelo | When shape matters: Brain networks studied under a persistent homology view|
|Matias | A semiparametric extension of the stochastic block model for longitudinal networks|
|Rancoita | Bayesian networks for data imputation in survival tree analysis|
|Signorelli | How to integrate gene enrichment analysis with information from gene interaction networks|
|Tamarit | Emergence of social structure: a generalization of Dunbar's circles|

==== COSTNET action conference: posters ====

^ presenting author ^ title ^
|Artime | Dynamics on Networks: Competition between Temporal and Topological Correlations|
|Bassolas | Scaling in the recovery of cities during special events|
|Bozhilova | Thresholding and random network generation based on uncertain networks |
|Cardoso | Topical homophily in online social systems|
|Janosov | Quantifying and comparing success in artistic careers|
|Kadilar | An Analysis of Air Quality Data with Markov Chains and Time Series|
|Khalil  | Zealots in the mean-field noisy voter model |
|Koutras | Random order statistics probability models for networks |
|Lebacher| International Arms Trade: A Dynamic Separable Network Model with Heterogeneity Components|
|Lee | A Network Epidemic Model for Online Community Commissioning Data |
|Lehmann | ERGMs in neuroimaging - developments and challenges|
|Leskela | Moment-based parameter estimation in binomial random intersection graph |
|Marchetti | Graphoid properties and independence with Credal Networks |
|Min | Fragmentation transitions in a coevolving nonlinear voter model |
|Mohammadi | Bayesian Structure Learning of High-dimensional Graphical Models ... |
|Pereda | From Ego Networks to Dunbar's Numbers and Social Structure: an experiment|
|Pinho | Classifier Precision Analysis for Sleep Apnea Detection with ECG Signals |
|Pont Serra | Exact Computation of Percolation Cluster Sizes in Finite Networks |
|Raducha | Predicting language diversity with complex networks |
|Sheykhali | Plasticity on Ecological Bipartite Networks|
|Sieradzki | Network Analysis of scientific Co-operation between faculties at Warsaw University of Life Sciences |
|Vicard | PC algorithm for complex survey data via resampling|
|Vitanov | Motion of substances in channels of networks |
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