Wednesday March 4, 2020
Elhuyar Room, Bizkaia Aretoa, Bilbao
Instructor: Shai Pilosof, Assistant professor, Ben-Gurion University, Israel
Maximum number of participants: 30
AEET will be offering the 1st edition of the course "Introduction to multilayer networks" the day before the start of the XVII of Ecoflor, on Wednesday March 4, 2020 at the Bizkaia Aretoa building in Bilbao. You can register here until January 30, 2020. AEET members have a discount in the inscription.
Elhuyar Room, Bizkaia Aretoa, Bilbao
Instructor: Shai Pilosof, Assistant professor, Ben-Gurion University, Israel
Maximum number of participants: 30
AEET will be offering the 1st edition of the course "Introduction to multilayer networks" the day before the start of the XVII of Ecoflor, on Wednesday March 4, 2020 at the Bizkaia Aretoa building in Bilbao. You can register here until January 30, 2020. AEET members have a discount in the inscription.
Background: In the past two decades the analysis of mutualistic networks has advanced our understanding of the ecology, evolution and co-evolution of plants and pollinators. By moving beyond pairwise interactions, studies of mutualistic networks have revealed large variation in the degree of specialization, have emphasized the importance of particular species for the functioning of the entire mutualistic system and have linked the structure of networks to the stability and functioning of mutualistic systems. Nonetheless, most studies have used aggregated data, or have considered networks in “isolation”. In contrast, mutualistic systems are inherently multi-dimensional: they vary in space and time and often interact with non-mutualistic networks (e.g., plant-herbivore networks). Ecological multilayer networks are a new approach that aims to incorporate such dimensionality into the analysis by explicitly considering processes that operate across networks. As this framework is very new, and owing to the large possibilities in the definition of these networks, the analysis of these networks is not trivial. The purpose of this course is to introduce participants to this new framework and its methodology via hands-on analysis.
Format: The course will combine 1-2 short lectures, hands-on analysis and explanations on the board (as necessary). We will start with a short overview of ecological networks and an introduction to what are multilayer networks. We will then review the basic methodology for the analysis of multilayer networks, learn how to manipulate various kinds of multilayer data and get acquainted with multilayer analysis such as modularity. The analysis will be based on real data from mutualistic networks. The code I will give before the class will contain material for those who are less experienced as well as for more advanced participants.
Extras: Participants are encouraged to bring their own data sets, which they can analyze instead of the example data. Depending on demand and time constraints, after the course we will try to set aside time to consult participants regarding their own data.
Pre-requisites: Previous experience with R is necessary. Experience with network analysis is recommended but not obligatory. Participants will need to bring their own laptop with R and Rstudio pre-installed. For those who lack experience with network analysis in R I recommend going through this tutorial before the course: http://kateto.net/networks-r-igraph.
DETAILS:
Instructor: Shai Pilosof, Assistant professor, Ben-Gurion University, Israel
Venue: Bizkaia Aretoa, Bilbao.
Date: Wednesday March 4, 2020
Schedule: 9:00-13:00 y 15:00-18:00.
Price: AEET/SIBECOL members: 50 € - Non members: 70 €.
Format: The course will combine 1-2 short lectures, hands-on analysis and explanations on the board (as necessary). We will start with a short overview of ecological networks and an introduction to what are multilayer networks. We will then review the basic methodology for the analysis of multilayer networks, learn how to manipulate various kinds of multilayer data and get acquainted with multilayer analysis such as modularity. The analysis will be based on real data from mutualistic networks. The code I will give before the class will contain material for those who are less experienced as well as for more advanced participants.
Extras: Participants are encouraged to bring their own data sets, which they can analyze instead of the example data. Depending on demand and time constraints, after the course we will try to set aside time to consult participants regarding their own data.
Pre-requisites: Previous experience with R is necessary. Experience with network analysis is recommended but not obligatory. Participants will need to bring their own laptop with R and Rstudio pre-installed. For those who lack experience with network analysis in R I recommend going through this tutorial before the course: http://kateto.net/networks-r-igraph.
DETAILS:
Instructor: Shai Pilosof, Assistant professor, Ben-Gurion University, Israel
Venue: Bizkaia Aretoa, Bilbao.
Date: Wednesday March 4, 2020
Schedule: 9:00-13:00 y 15:00-18:00.
Price: AEET/SIBECOL members: 50 € - Non members: 70 €.
