Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation

Online music services are increasing in popularity. They enable us to analyze people's music listening behavior based on play logs. Although it is known that people listen to music based on topic (e.g., rock or jazz), we assume that when a user is addicted to an artist, s/he chooses the artist's songs regardless of topic. Based on this assumption, in this paper, we propose a probabilistic model to analyze people's music listening behavior. Our main contributions are three-fold. First, to the best of our knowledge, this is the first study modeling music listening behavior by taking into account the influence of addiction to artists. Second, by using real-world datasets of play logs, we showed the effectiveness of our proposed model. Third, we carried out qualitative experiments and showed that taking addiction into account enables us to analyze music listening behavior from a new viewpoint in terms of how people listen to music according to the time of day, how an artist's songs are listened to by people, etc. We also discuss the possibility of applying the analysis results to applications such as artist similarity computation and song recommendation.Comment: Accepted by The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017

Mixed membership stochastic blockmodels

Observations consisting of measurements on relationships for pairs of objects arise in many settings, such as protein interaction and gene regulatory networks, collections of author-recipient email, and social networks. Analyzing such data with probabilisic models can be delicate because the simple exchangeability assumptions underlying many boilerplate models no longer hold. In this paper, we describe a latent variable model of such data called the mixed membership stochastic blockmodel. This model extends blockmodels for relational data to ones which capture mixed membership latent relational structure, thus providing an object-specific low-dimensional representation. We develop a general variational inference algorithm for fast approximate posterior inference. We explore applications to social and protein interaction networks.Comment: 46 pages, 14 figures, 3 table

Stochastic blockmodels with growing number of classes

We present asymptotic and finite-sample results on the use of stochastic blockmodels for the analysis of network data. We show that the fraction of misclassified network nodes converges in probability to zero under maximum likelihood fitting when the number of classes is allowed to grow as the root of the network size and the average network degree grows at least poly-logarithmically in this size. We also establish finite-sample confidence bounds on maximum-likelihood blockmodel parameter estimates from data comprising independent Bernoulli random variates; these results hold uniformly over class assignment. We provide simulations verifying the conditions sufficient for our results, and conclude by fitting a logit parameterization of a stochastic blockmodel with covariates to a network data example comprising a collection of Facebook profiles, resulting in block estimates that reveal residual structure.Comment: 12 pages, 3 figures; revised versio

Modelling competitive delamination and debonding phenomena in composite T-Joints

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Sashimi plots: Quantitative visualization of RNA sequencing read alignments

We introduce Sashimi plots, a quantitative multi-sample visualization of mRNA sequencing reads aligned to gene annotations. Sashimi plots are made using alignments (stored in the SAM/BAM format) and gene model annotations (in GFF format), which can be custom-made by the user or obtained from databases such as Ensembl or UCSC. We describe two implementations of Sashimi plots: (1) a stand-alone command line implementation aimed at making customizable publication quality figures, and (2) an implementation built into the Integrated Genome Viewer (IGV) browser, which enables rapid and dynamic creation of Sashimi plots for any genomic region of interest, suitable for exploratory analysis of alternatively spliced regions of the transcriptome. Isoform expression estimates outputted by the MISO program can be optionally plotted along with Sashimi plots. Sashimi plots can be used to quickly screen differentially spliced exons along genomic regions of interest and can be used in publication quality figures. The Sashimi plot software and documentation is available from: http://genes.mit.edu/burgelab/miso/docs/sashimi.htmlComment: 2 figure

Behavioral responses of voles along fences patrolled by natural predators

Fuelling, O., Buehler, E., Airoldi, J.-P., Nentwig, W

Etude par capture et recapture d’une population de campagnols terrestres, Arvicola terrestris scherman shaw (Mammalia, rodentia)

Une population semi-isolée de campagnols terrestres, Arvicola terrestris scherman Schaw, a été étudiée par capture et recapture entre juillet 1975 et mai 1976, sur une parcelle de 700 m2. Une série de 15 piégeages, d’une durée de deux jours et comprenant nor malement 9 contrôles par jour a été effectuée à des intervalles de trois semaines. L’effort de piégeage a varié entre 526 et 950 trappes X heures. Le réseau de pièges est visité très rapidement et permet de capturer en moyenne 80 % (70-95 %) de la population en deux jours. Le nombre moyen de captures et recaptures par individu et par piégeage est de 4,2 (2, 7-6, 5). Les nombres moyens de change ments de trappes (x = 1,7) et de trappes différentes visitées (x = 1,9) qui lui sont fortement liés permettent d’établir les rela tions entre individus et de délimiter leurs domaines vitaux avec suffisamment de précision. Les différentes méthodes d’estimation de populations basées sur une droite de régression ou sur les rapports entre individus marqués et non marqués concordent mal avec l’effectif réel de la population, dont la meilleure approximation est donnée par le calendrier de captures. Celles utilisant les distributions des fré quences de captures coïncident généralement mieux. La densité de population atteint un maximum en novembre et en avril, et un minimum au début mars. La reproduction a cessé à mi-novembre, pour reprendre à mi-mars. Pendant la période de reproduction, l’indice de turnover entre deux piégeages est de 1,38. La survie des cohortes nées entre juillet et novembre est différente suivant les sexes et conduit à une sex ratio en faveur des femelles en hiver. L’émigration a pu être mise en évidence. Les déplace ments individuels dans la population sont les plus nombreux entre juillet et novembre. La plupart des groupes familieux sont stables et la fidélité au domaine vital et entre individus est grande. Les campagnols vivent généralement en couples. En dehors de la pé riode de reproduction, ils forment souvent des groupements plus complexes comprenant un ou plusieurs mâles et plusieurs fe melles.A semi-isolated population of the fossorial form of the water vole, Arvicola terrestris scherman Shaw, was studied by the capture-recapture method, over an area of 700 m2 from July 1975 to May 1976. A series of 15 trapping periods lasting 2 days each and normally made of 9 trap-controls a day ware carried out at intervals of three weeks. The trapping effort varied between 526 and 950 trap-hours. Traps were very quickly occupied and an average of 80 % (70-95 %) of the population caught within 2 days. Individuals were captured and recaptured at the average of 4.2 (2.7-6.5) times per trapping period. The average number of trap changes (x = 1.7) and of different traps occupied (x = 1.9) correlated with the afore mentioned quantity allows to establish the relationships between individuals and set the boundaries of their home ranges with reasonable precision. The methods of population estimation based on a regression line or on the ratio between marked and unmarked individuals, do not agree with the actual population size, whose best approxi mation is given by the calendar of captures. Those using the distri bution of captures frequencies generally coincide better. The population density reached a maximum in November and in April and a minimum at the beginning of March. Breeding ceased at the middle of August and started again at the middle of March. During the breeding period, the turnover index between two trapping periods was 1.38. The survival of cohorts born bet ween July and November was different for both sexes and leading to a sex ratio in favour of females in winter. Emigration was observed and individual movements within the population were most numerous from July to November. Most family groups were stable and there was a great attachment to the home range and between individuals. Water voles live generally in pairs. Outside the breeding period, they often live in more complex groups made of one or more males and several females

Bayesian stochastic blockmodeling

This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.Comment: 44 pages, 16 figures. Code is freely available as part of graph-tool at https://graph-tool.skewed.de . See also the HOWTO at https://graph-tool.skewed.de/static/doc/demos/inference/inference.htm

Involuntary psychiatric admissions: A retrospective study of 460 cases

Introduction: We collected the data relating to involuntary hospital treatment (IHT) in the University Psychiatric Ward at Novara Hospital between 1991 and 2002, and compared them with those relating to Piedmont and the whole of Italy. Methods: The data were collected from the ward medical records. Results: IHT was much more frequent among young male schizophrenics living with their families of origin. Most of the subjects were not working at the time of admission. There was a statistically significant correlation between male gender and the risk of being admitted for a period of less than 12 days. The risk of being admitted for more than 12 days significantly correlated with the province of birth and residence, as well as with a diagnosis of schizophrenic psychosis. Conclusions: Schizophrenia is the diagnosis that is most frequently associated with IHT