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149 results for “social influence”
Detection of Real-World Influence through Social Media
<p><strong>Description. </strong>This dataset corresponds to the resources produced for the following conference paper and its extended version:</p> <ol> <li>J.-V. Cossu, N. Dugué, and V. Labatut, “Detecting Real-World Influence Through Twitter,” in <em>2nd European Network Intelligence Conference (ENIC)</em>, 2015, pp. 83–90. ⟨<a href="https://hal.archives-ouvertes.fr/hal-01164453">hal-01164453</a>⟩ DOI: <a href="http://doi.org/10.1109/ENIC.2015.20">10.1109/ENIC.2015.20</a></li> <li>J.-V. Cossu, V. Labatut, and N. Dugué, “A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence,” <em>Social Network Analysis and Mining </em>6:25, 2016. ⟨<a href="https://hal.archives-ouvertes.fr/hal-01203171">hal-01203171</a>⟩ DOI: <a href="http://doi.org/10.1007/s13278-016-0329-x">10.1007/s13278-016-0329-x</a></li> </ol> <p>Raw data are available through the official RepLab page: <a href="http://nlp.uned.es/replab2014/">http://nlp.uned.es/replab2014/</a> (follow <a href="http://nlp.uned.es/replab2014/replab2014-dataset.tar.gz">http://nlp.uned.es/replab2014/replab2014-dataset.tar.gz</a>)</p> <p><strong>Source code. </strong>The source code used to generate these output is available on GitHub: <a href="https://github.com/CompNet/Influence">https://github.com/CompNet/Influence</a></p> <p><strong>Funding. </strong>This work was partly funded by the French National Research Agency (ANR), through the project <a href="https://anr.fr/Project-ANR-12-CORD-0002">ImagiWeb ANR-12-CORD-0002</a>.</p> <p><strong>Contact. </strong>Jean-Valère Cossu <<a href="mailto:jean-valere.cossu@alumni.univ-avignon.fr">jean-valere.cossu@alumni.univ-avignon.fr</a>></p> <p><strong>Citation. </strong>If you use these data, please cite paper [1] above.</p> <p><br><code>@InProceedings{Cossu2015,</code><br><code> author = {Cossu, Jean-Valère and Dugué, Nicolas and Labatut, Vincent},</code><br><code> title = {Detecting Real-World Influence Through {Twitter}},</code><br><code> booktitle = {2\textsuperscript{nd} European Network Intelligence Conference},</code><br><code> year = {2015},</code><br><code> pages = {83-90},</code><br><code> address = {Karlskrona, SE},</code><br><code> publisher = {IEEE Publishing},</code><br><code> doi = {10.1109/ENIC.2015.20},</code><br><code>}</code></p> <p><strong>Details. </strong>This archive contains all ranking outputs formatted according to the TREC-EVAL tool format. These outputs consist for each domain in a ranked list of user from the most influential to the least influential. For a classification-type evaluation, just consider that users having a score higher than 0.5 are influential.</p> <p>File names correspond to the system (those starting with Cos*, indicate: the method BoT for Bag-of-Tweets, UaD for User-as-Document; the use of the Tweet-Selection strategy files denoted Artex; the learning process with Global or separated models which are noted Multi and last but not least the decision strategy for Bag-of-Tweets: Counting or Sum) or feature name. Files starting with out_* contain the results of logistic regression ranking outputs. Files matrix_auto.dat and matrix_bank.dat contain the data used to feed the PLS model (code: plspm4influence.R).</p> <p>RepLab 2014 uses Twitter data in English and Spanish. The balance between both languages depends on the availability of data for each of the profiles included in the dataset.</p> <p>The training dataset consists of 7,000 Twitter profiles (all with at least 1,000 followers) related to the automotive and banking domains, evaluation is performed separately. Each profile consists of (i) author name; (ii) profile URL and (iii) the last 600 tweets published by the author at crawling time and have been manually labelled by reputation experts either as “opinion maker” (i.e. authors with reputational influence) or “non-opinion maker”. The objective is to find out which authors have more reputational influence (who the opinion makers are) and which profiles are less influential or have no influence at all. </p> <p>Since Twitter ToS do not allow redistribution of tweets, only tweets ids and screen names are provided. Replab organizers provide details about how to download the tweets.</p>
Environmental and social factors influencing median income and BMI in the State of Geneva
<p>Hectometric grid (100m x 100m) covering the inhabited areas of the State of Geneva. It contains informations relative to the bmi and median income (GIREC) within the cells, together with a series of environmental and social factors, with which a correlation can be sought.</p>
Sex roles in birds: influence of climate, life histories and social environment
<p>For detailed information concerning data collection please see Gonzalez-Voyer et al. Sex roles in birds: phylogenetic analyses of the influence of climate, life histories and social environment. Ecology Letters. Briefly, data on ecology, life histories and behaviour of birds were extracted from published literature. If several data were available for a given species, we included the ones that were extracted from breeding individuals or had larger sample sizes. The details regarding data processing are provided in the Supplementary Material of Gonzalez-Voyer et al. (accepted).</p>
Opinion dynamics in social network under competition: the role of influencing factors in consensus reaching
<p>The profitability of opinion and the finiteness of individual attention have already spawned the extensive competition for individual preferences on social networks. It's quite necessary to investigate the opinion dynamics over social networks in a competitive environment. To this point, this paper develops a novel social network DeGroot model based on competition game (DGCG) to characterize the opinion evolution in a competitive opinion dynamics. Based on the DGCG model, we obtain equilibrium results in the stable state of opinion evolution. Consecutively, we analyze what role relevant factors play in the final consensus and competitive outcomes, including the resource ratio of both contestants, initial opinions and network structure. Theoretical analyses and simulation experiments show that these factors can significantly sway the consensus and even reverse competition outcomes.</p>
Data from: Genetic, maternal, and environmental influences on sociality in a pedigreed primate population
<p>Various aspects of sociality in mammals (e.g., dyadic connectedness) are linked with measures of biological fitness (e.g., longevity). How within- and between-individual variation in relevant social traits arises in uncontrolled wild populations is challenging to determine but is crucial for understanding constraints on the evolution of sociality. We use an advanced statistical method, known as the 'animal model', which incorporates pedigree information, to look at social, genetic, and environmental influences on sociality in a long-lived wild primate. We leverage a longitudinal database spanning 20 years of observation on individually recognized white-faced capuchin monkeys (Cebus capucinus imitator), with a multi-generational pedigree. We analyze two measures of spatial association, using repeat sampling of 376 individuals (mean: 53.5 months per subject, range: 6-185 months per subject). Conditioned on the effects of age, sex, group size, seasonality , and El Niño–Southern Oscillation phases, we show low to moderate long-term repeatability (across years) of the proportion of time spent social (posterior mode [95% Highest Posterior Density interval]: 0.207 [0.169, 0.265]) and of average number of partners (0.144 [0.113, 0.181]) (latent scale). Most of this long-term repeatability could be explained by modest heritability (<em>h<sup>2</sup></em><sub>social</sub>: 0.152 [0.094, 0.207]; <em>h<sup>2</sup></em><sub>partners</sub>: 0.113 [0.076, 0.149]) with small long-term maternal effects (<em>m<sup>2</sup></em><sub>social</sub>: 0.000 [0.000, 0.045]; <em>m<sup>2</sup></em><sub>partners</sub>: 0.000 [0.000, 0.041]). Our models capture the majority of variance in our behavioral traits, with much of the variance explained by temporally changing factors, such as group of residence, highlighting potential limits to the evolvability of our trait due to social and environmental constraints.</p>
Influence of social networks as a distribution channel in volatile markets of non-fungible tokens..
<p>Dataset with tweets, prices (ETH & USD), volume (USD) and sentiment from BAYC, WOW and CoolCats NFTs. </p> <p>Obtained from Twitter and from the Ethereum blockchain using Dune Analytics (Dune.xyz)</p>
Exploring the generational influence on social media based tourist decision making in India
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Fig. 2 in Factors influencing Dipylidium sp. infection in a free-ranging social carnivore, the spotted hyaena (Crocuta crocuta)
Fig. 2. The effect of prey abundance in spotted hyaena clan territories on the proportion of juveniles infected with Dipylidium sp.
Fig. 1 in Factors influencing Dipylidium sp. infection in a free-ranging social carnivore, the spotted hyaena (Crocuta crocuta)
Fig. 1. (a) A spotted hyaena communal den. (b) Dipylidium sp. egg capsule obtained from a gravid proglottid collected from a spotted hyaena faeces. (c) Spotted hyaena faeces with Dipylidium proglottids present on the surface.
Figure 1. A in If you can't stand the heat, get out of the kitchen! Notes on the influence of temperature on the nesting of social wasps
Figure 1. A. Image of the rocky outcrop with the highest concentration of nests in the brightest areas. B. Thermal image of the rocky outcrop demonstrating the temperature gradient in relation to the rock color variation. The red arrows point to the nests on the rocky outcrop. / Figura 1. A. Imagen del afloramiento rocoso con la mayor concentración de nidos en las áreas más brillantes. B. Imagen térmica del afloramiento rocoso que muestra el gradiente de temperatura en relación con la variación del color de la roca. Las flechas rojas señalan los nidos en el afloramiento rocoso.
Data from: Personality and social network structure influence cooperative dynamics across canid species
<p>In canids, cooperative behaviour occurs in many scenarios. However, most studies focus on single-species observations, not accounting for variation beyond the species-level. We modelled cooperative behaviour using Eigenvalue centrality as well as boldness combined with biological traits such as kinship, sex, age, mating system and foraging strategy in multiple canid species with Bayesian inference, Tukey HSD and distance correlation.</p>
Triadic influence as a proxy for compatibility in social relationships
<p>This dataset contains valuable information that allows for the recreation of the paper "Triadic influence as a proxy for compatibility in social relationships" which was published in PNAS. The dataset comprises 13 high school networks that represent the diverse social relationships that exist between students within each school.</p> <p>To construct each of these networks, you can utilize the "Edges_i.csv" and "Nodes_i.csv" files, which are available for download in the files section. The edges files provide data on weighted edges, where the weight varies between -2, -1, +1, and +2. The sign indicates the nature of the friendship, while the number corresponds to its intensity. On the other hand, the node files contain information about the age level, group, sex, and psychological attributes such as CRT and prosociality.</p> <p> </p> <p> </p> <p> </p>
Opinion dynamics in social network under competition: the role of influencing factors in consensus reaching
Open the record for dataset details and reuse information.
Sex roles in birds: influence of climate, life histories and social environment
Open the record for dataset details and reuse information.
Data from: Genetic, maternal, and environmental influences on sociality in a pedigreed primate population
Open the record for dataset details and reuse information.
Social environment influences the temporal dynamics of sneak-spawning in a fish with alternative reproductive tactics
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Juvenile social experience and practice have a switch-like influence on adult mate preferences in an insect
<p>Social causes of variation in animal communication systems have important evolutionary consequences, including speciation. The relevance of these effects depends on how widespread they are among animals. There is evidence for such effects not only in birds and mammals, but also frogs and some insects and spiders. Here we analyse the social ontogeny of adult mate preferences in an insect, Enchenopa treehoppers. In these communal plant-feeding insects, individuals reared in isolation or in groups differ in their mate preferences, and the group-reared phenotype can be rescued by playbacks to isolation-reared individuals. We ask about the relative role of signalling experience and signalling practice during ontogeny on the development of adult mating preferences in Enchenopa females. Taking advantage of variation in the signal experience and signalling practice of isolation-reared individuals, we find switch-like effects for experience and practice on female mate preference phenotypes, with individuals having some experience and practice as juveniles best rescuing the group-reared preference phenotype. We discuss how understanding the nature and distribution of social-ontogenetic causes of variation in mate preferences and other sexual traits will bring new insights into how within- and between-population variation influences the evolution of communication systems.</p>
Data from: Is repeatability of metabolic rate influenced by social separation? a test with a teleost fish
<p>Metabolic rates are typically thought to have important influences on fitness and more broadly be relevant to the ecology and evolution of animals. Previous studies demonstrate that metabolic rates are repeatable to a certain extent under constant conditions, but how social conditions influence the repeatability of metabolic rate remains largely unknown. In this study we investigated the repeatability of resting metabolic rate (RMR) in the highly-social crucian carp<i> </i>(<i>Carassius auratus</i>)<i> </i>after being socially separated for different time periods relative to control fish that were not socially separated. We found that RMR was repeatable in fish in the control group, while the repeatability of RMR disappeared quickly (even within 7 d) when fish were exposed to social separation. This study is the first to examine the role of social separation at different time periods on the repeatability of intra-individual physiological variation in fish. <span>We highlight that inter-individual repeatability of metabolic rate can be substantial</span> <span>over time but was eliminated by </span>social separation<span>. </span>The findings <span>indicate that the repeatability of metabolic rate in fish is condition-dependent, and that the change in repeatability of metabolic rate should not be overlooked when considering the ecological and evolutionary effects of </span>environmental change<span>.</span></p>
Data from: Assessing the influence of biotic, abiotic, and social factors on the physiological stress of a large Neotropical primate in Atlantic Forest fragments
Wildlife physiological responses to environmental and human-related stressors provide useful clues on animal welfare. Non-invasive biomarkers, such as fecal glucocorticoid metabolites (fGCM), allow researchers to assess whether variations in habitat quality, behavior, and climate influence the animals' physiological stress. We examined the role of fragment size, ambient temperature, ripe fruit availability and consumption, percentage of records moving, sex, female reproductive state, and group composition as predictors of the level of fGCM in adult brown howler monkeys (Alouatta guariba clamitans) inhabiting three small (<10 ha) and three large (>90 ha) Atlantic Forest fragments in southern Brazil. We collected bimonthly behavioral data and fecal samples from adult individuals over three years, and used a multimodel inference framework to identify the main predictors of fGCM. We found that the mean (±SD) fGCM in the study groups ranged from 57 ± 49 ng/g to 93 ± 58 ng/g, which were within the known range for howler monkeys. We found 10 best models including five of the 17 tested variables. Sex and reproductive state were the only variables included in all these models. We found that fGCM was higher in nursing females (mean ± SD = 104 ± 73 ng/g) than in non-nursing females (64 ± 55 ng/g) and males (53 ± 40 ng/g, P < 0.05) and that it decreased with increasing ripe fruit consumption and minimum temperature. However, fragment size did not predict fGCM concentration (groups in small fragments = 71 ± 58 ng/g vs. groups in large fragments = 63 ± 54 ng/g, P > 0.05). We conclude that factors related to the energetic balance of individuals play major roles in modulating the physiological stress of brown howler monkeys. Future studies should investigate the consequences of higher levels of stress hormones on howler monkey health and demography.
Embryo survival in the oviduct not significantly influenced by major histocompatibility complex social signaling in the horse
<p>The major histocompatibility complex (MHC) influences sexual selection in various vertebrates. Recently, MHC-linked social signaling was also shown to influence female fertility in horses (<i>Equus caballus</i>) diagnosed 17 days after fertilization. However, it remained unclear at which stage the pregnancy was terminated. Here we test if MHC-linked cryptic female choice in horses happens during the first days of pregnancy, i.e., until shortly after embryonic entrance into the uterus and before fixation in the endometrium. We exposed estrous mares to one of several unrelated stallions, instrumentally inseminated them with semen of another stallion, and flushed the uterus 8 days later to test for the presence of embryos. In total 68 embryos could be collected from 97 experimental trials. This success rate of 70.1% was significantly different from the mean pregnancy rate of 45.7% observed 17 days after fertilization using the same experimental protocol but without embryo flushing. Embryo recovery rate was not significantly dependent on whether the mares had been socially exposed to an MHC-dissimilar or an MHC-similar stallion. These observations suggest that MHC-linked maternal strategies affect embryo survival mainly (or only) during the time of fixation in the uterus.</p>
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