Predicting Links in Plant-Pollinator Interaction Networks using Latent Factor Models with Implicit Feedback: Supplemental Material
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1 Predicting Links in Plant-Pollinator Interaction Networks using Latent Factor Models with Implicit Feedback: Supplemental Material Eugene Seo and Rebecca A. Hutchinson, School of Electrical Engineering and Computer Science; Dept. of Fisheries and Wildlife Oregon State University Corvallis, OR 9 {seoe,rah}@oregonstate.edu
2 Precision-Recall Curves for Test Year 0 to 0 Precision All interactions; A.vec All interactions; A.mat New interactions; A.vec New interactions; A.mat Pop Avail ItemNN UserNN MF IFMF IFMF Recall Figure : Precision-Recall curves for all methods in test year 0. Plots show results for predicting all interactions vs. only new interactions and considering availability based on plants only (A.vec) vs. plants and pollinators (A.mat).
3 All interactions; A.vec All interactions; A.mat New interactions; A.vec New interactions; A.mat Precision Pop Avail ItemNN UserNN MF IFMF IFMF Recall Figure : Precision-Recall curves for all methods in test year 0. Plots show results for predicting all interactions vs. only new interactions and considering availability based on plants only (A.vec) vs. plants and pollinators (A.mat).
4 Precision All interactions; A.vec All interactions; A.mat New interactions; A.vec New interactions; A.mat Pop Avail ItemNN UserNN MF IFMF IFMF Recall Figure : Precision-Recall curves for all methods in test year 0. Plots show results for predicting all interactions vs. only new interactions and considering availability based on plants only (A.vec) vs. plants and pollinators (A.mat).
5 All interactions; A.vec All interactions; A.mat New interactions; A.vec New interactions; A.mat Precision Pop Avail ItemNN UserNN MF IFMF IFMF Recall Figure : Precision-Recall curves for all methods in test year 0. Plots show results for predicting all interactions vs. only new interactions and considering availability based on plants only (A.vec) vs. plants and pollinators (A.mat).
6 All interactions; A.vec All interactions; A.mat New interactions; A.vec New interactions; A.mat Precision Pop Avail ItemNN UserNN MF IFMF IFMF Recall Figure : Precision-Recall curves for all methods in test year 0. Plots show results for predicting all interactions vs. only new interactions and considering availability based on plants only (A.vec) vs. plants and pollinators (A.mat).
7 Clustering Analysis in Latent Spaces UI U Figure : Pollinator species clustered into seven classes in the latent factor space learned by IFMF with k = factors. According to a pollination expert, clusters and are groups of common species while clusters,, and are groups of rare species. Clusters and represent specialists while clusters,, and show generalists. The species in clusters,, and tend to appear early in the year while species in clusters and appear later in the year.
8 Degree Interaction count Occurrence count Cluster Cluster..8. Cluster Cluster.9.8. Cluster Cluster... Cluster..8.9 Table : Statistics of the average degree of pollinator species, average number of interactions (raw count of all interactions), and average number of occurrences (count of meadow-watches where the species appeared) over all pollinator species in each cluster. Degree indicates the average number of plant species with which pollinator species in the group interacted. Degree Interaction count Occurrence count U U Table : Spearman correlation between the latent factors of pollinator species and data summaries. 8
9 V V Figure : Plants species clustered into four clusters in the latent factor space learned by IFMF with k = factors. According to a pollination expert, clusters and are groups of common generalists and cluster has more generalized species than class. Cluster is a group of specialists. Cluster is a mix of species types. 9
10 Degree Interaction count Abundance Occurrence count Cluster Cluster Cluster Cluster Table : Statistics of the average degree of plant species, average number of interactions, average flower abundance (raw count), and average flower occurrence (number of meadow-watches where the species occurred) over all species in each cluster. Degree indicates the number of pollinator species with which plant species interacted. The flower abundance is available from flower surveys. Degree Interaction count Abundance Occurrence count V V Table : Spearman correlation between the latent factors of plant species and data summaries. 0
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