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222 results for “co-occurrence”
Sentiment analysis of tech media articles using VADER package and co-occurrence analysis (01.2016-04.2021)
<p>Sentiment analysis of tech media articles using VADER package and co-occurrence analysis</p> <p>Sources with weights:</p> <ul> <li>Euractiv 5%</li> <li>The Conversation 5%</li> <li>Politico Europe 5 %</li> <li>IEEE Spectrum 5 %</li> <li>Techforge 5%</li> <li>Fastcompany 5%</li> <li>The Guardian (Tech) 12%</li> <li>Arstechnica 5%</li> <li>Reuters 5%</li> <li>Gizmodo 9%</li> <li>ZDNet 9%</li> <li>The Register 12%</li> <li>The Verge 9%</li> <li>TechCrunch 9%</li> </ul> <p>Methodology</p> <p>The sentiment analysis has been prepared using VADER*, an open-source lexicon and rule-based sentiment analysis tool. VADER is specifically designed for social media analysis, but can be also applied for other text sources. The sentiment lexicon was compiled using various sources (other sentiment data sets, Twitter etc.) and was validated by human input. The advantage of VADER is that the rule-based engine includes word-order sensitive relations and degree modifiers.</p> <p>As VADER is more robust in the case of shorter social media texts, the analysed articles have been divided into paragraphs. The analysis have been carried out for the social issues presented in the co-occurrence exercise.</p> <p>The process included the following main steps:</p> <ul> <li>The 100 most frequently co-occurring terms are identified for every social issue (using the co-occurrence methodology)</li> <li>The articles containing the given social issue and co-occurring term are identified</li> <li>The identified articles are divided into paragraphs</li> <li>Social issue and co-occurring words are removed from the paragraph</li> <li>The VADER sentiment analysis is carried out for every identified and modified paragraph</li> <li>The average for the given word pair is calculated for the final result</li> </ul> <p>Therefore, the procedure has been repeated for 100 words for all identified social issues.</p> <p>The sentiment analysis resulted in a compound score for every paragraph. The score is calculated from the sum of the valence scores of each word in the paragraph, and normalised between the values -1 (most extreme negative) and +1 (most extreme positive). Finally, the average is calculated from the paragraph results. Removal of terms is meant to exclude sentiment of the co-occurring word itself, because the word may be misleading, e.g. when some technologies or companies attempt to solve a negative issue. The neighbourhood's scores would be positive, but the negative term would bring the paragraph's score down.</p> <p> </p> <p>*Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.</p>
Fig. 1. The 80 in Importance of Srepok Wildlife Sanctuary, Cambodia, for the endangered green peafowl: implications of co-occurrence near human use areas
Fig. 1. The 80-point count listening post locations within the core and outer core area of Srepok Wildlife Sanctuary.
Co-occurrences of trending keywords in popular tech media (01.2016-04.2019)
<p>Sources with weights</p> <ul> <li>Euractiv 5%</li> <li>The Conversation 5%</li> <li>Politico Europe 5 %</li> <li>IEEE Spectrum 5 %</li> <li>Techforge 5%</li> <li>Fastcompany 5%</li> <li>The Guardian (Tech) 12%</li> <li>Arstechnica 5%</li> <li>Reuters 5%</li> <li>Gizmodo 9%</li> <li>ZDNet 9%</li> <li>The Register 12%</li> <li>The Verge 9%</li> <li>TechCrunch 9%</li> </ul> <p>Methodology</p> <ul> <li>Exploring the relationship between topics</li> <li>Pairs of terms which are mentioned together in media articles</li> <li>Most trending social issues have been selected (e.g. 'metoo', 'gdpr')</li> <li>The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams</li> <li>The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles</li> <li>A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)</li> </ul> <p> </p>
Fig. 2 in Parasite species co-occurrence patterns on Peromyscus: Joint species distribution modelling
Fig. 2. Results of variance partitioning for variation in ectoparasite prevalence explained by fixed and random effects for each ectoparasite species (columns). Explained variance presented for the constrained model for deer mice (n = 229 individuals). DM, deer mice; RBV, southern red-backed vole; WJM, woodland jumping mouse; PA, population abundance. Population abundance of small mammal species measured as captures per 100 trap nights. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Co-occurrence of two sympatric galliform species on a landscape-scale
Fig. 1. Map of Cat Tien NP with five survey transects each in bamboo, mixed deciduous, and mosaic forests, and seven transects in evergreen forest.
Fig. 1 in Pattern of co-occurrence between ant-mimicking jumping spiders and sympatric ants in a Bornean tropical rainforest
Fig. 1. Dorsal views of the model ants and their ant-mimicking spiders, showing the body parts removed legs and antennae. A, Camponotus saundersi; B, Myrmarachne alticephalon; C, Polyrhachis olybia; D, Myrmarachne maxillosa; E, Polyrhachis boltoni; F, Polyrhachis phalerata; G. Myrmarachne malayana.
Data from: Traits mediate niches and co-occurrences of forest beetles in ways that differ among bioclimatic regions
<p><b>Aim</b></p> <p>To investigate the role of traits in beetle community assembly and test for consistency in these effects among several bioclimatic regions. We asked (1) whether traits predicted species' responses to environmental gradients (i.e., their niches), (2) whether these same traits could predict co-occurrence patterns, and (3) how consistent were niches and the role of traits among study regions.</p> <p><b>Location</b></p> <p>Boreal forests in Norway and Finland, temperate forests in Germany.</p> <p><b>Methods</b></p> <p>We complied capture records of 468 wood-living beetle species from the three regions, along with nine morphological and ecological traits. Eight climatic and forest covariates were also collected. We used Bayesian hierarchical joint species distribution models to estimate the influence of traits and phylogeny on species' niches. We also tested for correlations between species associations and trait similarity. Finally, we compared species niches and the effects of traits among study regions.</p> <p><b>Results</b></p> <p>Traits explained some of the variability in species' niches, but their effects differed among study regions. However, substantial phylogenetic signal in species niches implies that unmeasured but phylogenetically structured traits have a stronger effect. Degree of trait similarity was correlated with species associations but depended idiosyncratically on the trait and region. Species niches were much more consistent – widespread taxa often responded similarly to an environmental gradient among regions.</p> <p><b>Main conclusions</b></p> <p>The inconsistent effects of traits among regions limits their current use in understanding beetle community assembly. Phylogenetic signal in niches, however, implies that better predictive traits can eventually be identified. Consistency of species niches among regions means niches may remain relatively stable under future climate and land use changes; this lends credibility to predictive distribution models based on future climate projections but may imply that species' scope for short-term adaptation is limited.</p>
Questionnaire: Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar
<p>This questionnaire was applied as data collection tool for the dataset of "Co-occurrence of behavioural risk factors for non-communicable diseases among 40-year and above aged community members in three regions of Myanmar".</p>
Data from: Environmental variables influence patterns of mammal co-occurrence following introduced predator control
<p>Co-occurring species often overlap in resource use and can interact in complex ways. However, shifts in environmental conditions or resource availability can lead to changes in patterns of species co-occurrence, which may be exacerbated by global escalation of human disturbances to ecosystems, including conservation directed alterations. We investigated the relative abundance and co-occurrence of two naturally sympatric mammal species following two forms of environmental disturbance: wildfire and introduced predator control. Using 14 years of abundance data from repeat surveys at long-term monitoring sites in south-eastern Australia, we examined the association between a marsupial, the common brushtail possum Trichosurus vulpecula, and a co-occurring native rodent, the bush rat <em>Rattus fuscipes</em>. We asked: Is the increase in abundance of common brushtail possums following control of an introduced predator associated with a decline in abundance of the bush rats?</p> <p>Using Bayesian regression models, we tested hypotheses that the abundance of each species would vary with changes in environmental and disturbance variables, and that the negative association between bush rats and common brushtail possums was stronger than the association between bush rats and disturbance. Our analyses revealed that bush rat abundance varied greatly in relation to environmental and disturbance variables, whereas common brushtail possums showed relatively limited variation in response to the same variables. There was a negative association between common brushtail possums and bush rats, but this association was weaker than the initial decline and subsequent recovery of bush rats in response to wildfires.</p> <p>Using co-occurrence analysis, we can readily infer negative relationships in abundance between co-occurring species, but to understand the impacts of such associations, and plan appropriate conservation measures, we require more information on interactions between the species and environmental variables. Co-occurrence can be a powerful and novel method to diagnose threats to communities and understand changes in ecosystem dynamics.</p>
The evolution of local co-occurrence in birds in relation to latitude, degree of sympatry, and range symmetry
<p>This study analyzes a large sample of occurrence records (7,834,063 checklists from the eBird project) of 887 passerine bird species distributed globally. Under the assumption that speciation and trait divergence rates are faster in temperate areas and that trait divergence does promote local secondary contact of newly evolved species, the expectaction is that local co-occurrence increases with latitude.Syntopy increased from the Southern to Northern Hemisphere and was positively related to sympatry and range symmetry.</p> <p> </p>
Implementing social network analysis to understand the socio-ecology of wildlife co-occurrence and joint interactions with humans in anthropogenic environments
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Data and analysis scripts for: Co-occurrence patterns at four spatial scales implicate reproductive processes in shaping community assembly in clovers
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Data from: Environmental variables influence patterns of mammal co-occurrence following introduced predator control
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Functional genomics and co-occurrence in a diverse tropical tree genus: The roles of drought and defense related genes
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Different mammals, same structure: Co-occurrence structure across the Plio-Pleistocene transition
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Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens
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Data from: Niche packing, but not niche expansion, explains the co-occurrence of hummingbirds-visited plants
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Data from: Traits mediate niches and co-occurrences of forest beetles in ways that differ among bioclimatic regions
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Data from: Co-occurrence between size groups within populations decreases with maximum body size across marine fish populations
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Effects of phylogenetic distance, niche overlap and habitat alteration on spatial co-occurrence patterns in Neotropical bats and birds
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.