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opencc-by-4.0Jan 2010View details →

Figure 1. 2nd year section in the Educational Portal - Questions Regarding Alterity in Social Collaborative Networks

Portlets proved to be the most intelligent way of presenting information on an educational portal, due to the richness of the user interface tools. The portal may be found at http://cursfs.ub.ro URL. In Figure 1 there is a screenshot of the 2nd year students section in educational portal, which is very easy to use and helpful.

(c) simulation on Repast: after queen adaptive development-MODELING SELF-ORGANIZING SYSTEMS WITH SOCIAL INSECTS ALGORITHMS

On figures (b) and (c), simulations on RePast [11, 16, 18] are provided at successive times. The last figure shows the adaptive mechanism of the queen which grows with time according to the material density around it, like in natural observations.

Figure 7: Cultural equipment dynamics modeling-MODELING SELF-ORGANIZING SYSTEMS WITH SOCIAL INSECTS ALGORITHMS

The multi-template modelling can be used to model cultural equipment dynamics as described in figure 7. On this figure, we associate a queen to each cultural center (cinema, theatre, ...). Each queen will emit many pheromon templates, each template is associated to a specific criterium (according to age, sex, ...). Initially, we put the material in the residential place. Each material has some characteristics, corresponding to the people living in this residential area. The simulation shows the self-organization processus as the result of the set of the attractive effect of all the centers and all the templates.

Figure 4: Complexity of geographical space with respect of emergent organizations-MODELING SELF-ORGANIZING SYSTEMS WITH SOCIAL INSECTS ALGORITHMS

The applications we focus on in the models that we will propose in the following, concerns specifically the multi-center (or multi-organizational) phenomona inside urban development. As an artificial ecosystem, the city development has to deal with many challenges, specifically for sustainable development, mixing economical, social and environmental aspects. The decentralized methodology proposed in the following allows to deal with multi-criteria problems, leading to propose a decision making assistance, based on simulation analysis.

Figure 1: Complex spatial organizational model-MODELING SELF-ORGANIZING SYSTEMS WITH SOCIAL INSECTS ALGORITHMS

On Figure 1, we describe a two-level model of spatial self-organizations with interactions in both directions between these two levels: the emergence of organizations from entities interactions but also the feed-back process describing how organizations are regulating their own entities.

Figure 2: Optimization in natural ants collective behavior: foraging and clustering (from [8])-Self-organization and social insects algorithms

On figure 2, two examples of self-organization in natural ants are presented. On the left side, the well-known Deneubourg experiment consists to highlight with a very simple device the ant foraging problem. The ant objectives is to find the optimal way from nest to food source, using pheromone trail deposition. On the right side, cemetery clustering formation are shown at 4 successive times: ants form piles of corpses to clean their nests. Each of them has elementary actions, unknowing the whole situation, but dealing only with local information. There is no supervisor to lead the piles formation which emerges from ant interactions.

The diversity of social complexity in termites

Sociality underpins major evolutionary transitions and significantly influences the structure and function of complex ecosystems. Social insects, seen as the pinnacle of sociality, have traits like obligate sterility that are considered 'master traits', used as single phenotypic measures of this complexity. However, evidence is mounting that completely aligning both phenotypic and evolutionary social complexity, and having obligate sterility central to both, is erroneous. We hypothesise that obligate and functional sterility are insufficient in explaining the diversity of phenotypic social complexity in social insects. To test this, we explore the relative importance of these sterility traits in an understudied but diverse taxon: the termites. We compile the largest termite social complexity dataset to date, using specimen and literature data. We find that although functional and obligate sterility explain a significant proportion of variance, neither trait are adequate singular proxies for the phenotypic social complexity of termites. Further, we show both traits have only a weak association with the other social complexity traits within termites. These findings have ramifications for our general comprehension of the frameworks of phenotypic and evolutionary social complexity and their relationship with sterility.

Effects of ecology on the sociality of coral dwelling gobies, genus Gobiodon

We developed a framework to assess how ecological factors affected the sociality of animals, and we used coral dwelling gobies (genus Gobiodon) to model this framework. We identifed four categories of sociality to compare: form of sociality, degree of sociality, social plasticity, and hierarchy maintenance. We tested global and local ecological factors from climatic disturbances to habitat size, and assessed how they affected the different categories of sociality. We combined the findings of each category to determine to outlook of social maintenance in the taxa when considering the ecological factors tested. For coral dwelling gobies, we found that there is a very poor outlook for their social maintenance with respect to climatic disturbances.

Exploring the generational influence on social media based tourist decision making in India

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →

Base de datos de Activismos textiles en Colombia para la movilización social 2020-2022

Base de datos de las 26 iniciativas de Activismos textiles en Colombia para la movilización social 2020-2022 identificadas en la convocatoria pública realizada en la investigación en curso: "Desigualdades, resiliencia comunitaria y nuevas modalidades de gobernanza en un mundo postpandemia". Proyecto liderado por Artesanal Tecnológica desde la Escuela de Estudios de Género de la Universidad Nacional de Colombia y financiado por el Ministerio de Ciencia, Tecnología e Innovación. En el marco de la convocatoria de La Plataforma Transatlántica para las Ciencias Sociales y las Humanidades (T-AP).Esta base de datos nos permite identificar experiencias, formas y prácticas de activismos textiles de nivel comunitario que surgieron en Colombia, describiendo cada iniciativa, sus participantes, las técnicas textiles que utiliza, sus causas y repertorios de movilización, además de los temas de interés y las formas en la que se articuló a la movilización social durante el 2020 y 2021. Este instrumento permite también ubicar cada iniciativa a escala, departamental, municipal, barrial o local y da insumos para entender la evolución en el tiempo de cada iniciativa. Otro punto que la base registra es la naturaleza individual o colectiva de las iniciativas, el tipo de incidencia que tienen, a nivel público o privado, y la frecuencia de reunión bien sea semanal, quincenal o mensual.Preliminarmente la información disponible permite confirmar que hay una consolidación de las formas de activismo textil a nivel urbano y con mayor participación juvenil y que también que los repertorios de movilización combinan espacios virtuales y presenciales de naturaleza colectiva e individual. Hemos identificado también que sigue siendo importante en estas formas de activismo la elaboración de piezas textiles y su presencia en el espacio público y que el papel de las redes sociales ha sido determinante para agenciar la movilización entre el 2020 y el 2021.

Plains zebra time budgets, social behavior, and communication during the 2021-2022 Laikipia-Samburu ecosystem drought

Anthropogenically induced climate change has significantly increased the frequency of acute weather events, such as drought. As human activities amplify environmental stresses, animals may be forced to prioritize survival over behaviors less crucial to immediate fitness, such as socializing. Yet, social bonds may also buffer organisms from the deleterious effects of environmental conditions. We investigated how the highly social plains zebra (Equus quagga) modify their activity budgets, social networks, and multimodal communication during a drought. This dataset contains a) activity budget, b) steps per minute as a proxy for foraging effort, c) nearest neighbor association data, d) interaction rate, e) juvenile social interaction partner data, and f) multimodal communication data.

Consider Social Acceptability of Contentious Low-Carbon Energy Technologies

SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality.  SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages –  including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events. This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future. The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility.   The present project proposes to conduct a research on social acceptability of three controversial technologies in France: nuclear fusion, agrivoltaics and offshore wind turbines. We review the literature  and develop a framework for studying the dynamics of acceptability of these technologies over the entire 2013-2023 period.  This file contains: <ul> <li>Appendix 1 : This output uploaded is the literary corpus from the EUROPRESSE database used to carry out the sentimental analysis and the topics modelling</li> <li>Appendix 2 : The scraping results of the corpus from the EUROPRESSE database</li> <li>Appendix 3 : The topic modeling results of the corpus from the EUROPRESSE database</li> <li>Appendix 4 : The sentimental analysis results of the corpus from the EUROPRESSE database</li> <li>Appendix 5 : This file  provides a comprehensive analysis of the factors shaping the social acceptability of low-carbon energy technologies in France</li> <li>Appendix 6 : This file sorted the 10 most positive and the 10 most negative articles associated with each low-carbon energy technology</li> </ul>

Replication Archive for "Teen Social Interactions and Well-being during the COVID-19 Pandemic"

This archive includes the Stata code to replicate all results in the referenced paper.

opencc-by-nc-sa-2.0May 2024View details →

iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023

ABSTRACT --------------- Online web communities often face bans for violating platform policies, encouraging their migration to alternative platforms. This migration, however, can result in increased toxicity and unforeseen consequences on the new platform. In recent years, researchers have collected data from many alternative platforms, indicating coordinated efforts leading to offline events, conspiracy movements, hate speech propagation, and harassment. Thus, it becomes crucial to characterize and understand these alternative platforms. To advance research in this direction, we collect and release a large-scale dataset from Scored -- an alternative Reddit platform that sheltered banned fringe communities, for example, c/TheDonald (a prominent right-wing community) and c/GreatAwakening (a conspiratorial community). Over four years, we collected approximately 57M posts from Scored, with at least 58 communities identified as migrating from Reddit and over 950 communities created since the platform's inception. Furthermore, we provide sentence embeddings of all posts in our dataset, generated through a state-of-the-art model, to further advance the field in characterizing the discussions within these communities. We aim to provide these resources to facilitate their investigations without the need for extensive data collection and processing efforts. <ul> <li>Scored platform: <a href="https://scored.co">https://scored.co</a></li> <li>Link to paper: <a href="https://arxiv.org/abs/2405.10233">https://arxiv.org/abs/2405.10233</a></li> <li>License: <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en">CC BY-NC-SA 4.0</a></li> </ul> <h1>Repository links</h1> <ul> <li>Zenodo: From Zenodo, researchers can download `lite` version of this dataset, which includes only 57M posts from Scored (not the sentence embeddings).</li> <li>Github: The main repository of this dataset, where we provide code-snippets to get started with this dataset. <ul> <li>Link here: <a href="https://github.com/idramalab/iDRAMA-scored-2024">https://github.com/idramalab/iDRAMA-scored-2024</a></li> </ul> </li> <li>Huggingface: On Huggingface, we provide complete dataset with senetence embeddings. <ul> <li>Link here: <a href="https://hf.co/datasets/iDRAMALab/iDRAMA-scored-2024">https://hf.co/datasets/iDRAMALab/iDRAMA-scored-2024</a></li> </ul> </li> </ul> <h1>Dataset Info</h1> <table> <tbody> <tr> <td>File-name</td> <td>Data-points</td> </tr> <tr> <td>comments-2020</td> <td>12,774,203</td> </tr> <tr> <td>comments-2021</td> <td>16,097,941</td> </tr> <tr> <td>comments-2022</td> <td>12,730,301</td> </tr> <tr> <td>comments-2023</td> <td>8,919,159</td> </tr> <tr> <td>submissions-2020-to-2023</td> <td>6,293,980</td> </tr> </tbody> </table> <h1>Authorship</h1> This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA. <ul> <li>Academic Organization: <a href="https://idrama.science/people/">iDRAMA Lab</a></li> <li>Affiliation: Binghamton University, Boston University, University of California Riverside</li> </ul> <h1>Licensing</h1> This dataset is available for free to use under terms of the non-commercial license <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en">CC BY-NC-SA 4.0</a>. <h1>Citation</h1> <blockquote> @inproceedings{patel2024idrama,   title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023},   author={Patel, Jay and Paudel, Pujan and De Cristofaro, Emiliano and Stringhini, Gianluca and Blackburn, Jeremy},   booktitle={Proceedings of the International AAAI Conference on Web and Social Media},   volume={18},   pages={2014--2024},   year={2024},   issn = {2334-0770},   doi = {10.1609/icwsm.v18i1.31444}, } </blockquote>

Growing up with nutritional stress leads to peripheral social network positions, independent of 'personality'

Variables: BirdID: unique identifier of individuals Day: numerical, day of testing Room: physical Location of aviary, arbitrary numbering Group: numerical. Each group consists of one sex.  Degree, Strength, EC, CV: social network variables. When precluded by a "D"; calculated using duration-based networks. When precluded by "F"; calculated using frequency-based networks.  Sex: 1 = female, 2 = male DT: developmental treatment. Easy or Hard  GenDad & GenMom: unique identifier. Genetic father or mother.  DS, GP, PC1NO, PC1exp, Immobility: personality scores from Gerritsma et al., 2023. When precluded by "s", they are standardized ((x - mean) / sd).  Broodsize: numerical, natal broodsize.  nestID: unique identifier for nest, arbitrary numbering.  Aviary: aviary in which individual was born. Arbitrary numbering.  Groupday: combination of day and group. First day of first group would be 11. Tenth day of first group would be 101.  Sexmc: mean-centered sex (sex-avg(sex)).  Broodsizemc: mean-centered brood size.  logTI: log10(immobility) DT3: numerical representation of DT. 1 = hard, 0 = easy.

Data from: A social learning primacy trend in mate-copying; an experiment in Drosophila melanogaster

Social learning is learning from the observation of how others interact with the environment. However, in nature, individuals often need to process serial social information and may either favour the most recent information (recency bias), constantly updating knowledge to match the environment, or the information that appeared first in the series (primacy bias), which may slow down adjustment to environmental change. Mate-copying is a widespread form of social learning in a mate choice context related to conformity in mate choice, and where a naïve individual develops a preference for a given mate (or mate phenotype) seen being chosen by conspecifics. Mate-copying is documented in most vertebrate taxa and in the fruit fly Drosophila melanogaster. Here, we tested experimentally whether female fruit flies show a primacy or a recency bias by presenting pictures of a female copulating with one of two contrastingly coloured male phenotypes. We found that after two sequential contradictory demonstrations, females show a tendency to prefer males of the phenotype preferred in the first demonstration, suggesting that mate-copying in D. melanogaster is not based on the most recently observed mating and may be influenced by a form of primacy bias.

opencc-by-4.0Apr 2024View details →

Dataset of "Social Robots and Sensors for Enhanced Ageing at Home: A Focus on Mobility and Socioeconomic Factors."

This dataset supports the article: "Social Robots and Sensors for Enhanced Aging at Home: A Focus on Mobility and Socioeconomic Factors." For further details see the Readme.txt file.

opencc-by-4.0Jun 2024View details →

Reverse social contagion as a mechanism for regulating mass behaviors in highly integrated social systems

<h1>Reverse social contagion as a mechanism for regulating mass behaviors in highly integrated social systems</h1> This repository houses supporting data for “Reverse social contagion as a mechanism for regulating mass behaviors in highly integrated social systems”. It contains three archives consisting of multiple files storing inter-individual interactions, trajectory data for multiple colonies of desert harvester ants (Pogonomyrmex californicus), and the code necessary to reproduce the study results. The behavioral data sets were obtained from 30s videos filmed at 15fps.  <h2>Description of the data and file structure</h2> <h3>Supplementary_Archive_1.zip</h3> This collection of CSV files contains the antennal contact interactions among individual workers from colonies. Each file name represents the colony code and the data contained in each file belongs to a single colony. Each file contains three columns: The first (1) column represents the tag of an individual observed, the second (2) column represents the tag of the individual it interacted with, and the third (3) column represents the frame of the video at which the interaction occurred. <h3>Supplementary_Archive_2.zip</h3> This group of mdf files contains the trajectory data for each individual of a harvester ant colony. The files were generated using the ImageJ plugin MTrackJ. Each file contains the data of one colony and the filename represents the code of said colony. The data contained in this file is organized in rows and columns. The first row indicates the MTrackJ software version used to generate the file. The second row indicates the displaying preferences for the MTrackJ software. The third and fourth rows indicate the number of assemblies and clusters, respectively. However, this can be safely ignored as the colony was treated as a whole. The rows starting with ‘Track’ indicate the tag of the individual observed followed by its identifying number “Track 1” belongs to individual 1, “Track 2” belongs to individual 2, “Track 3 to individual 3, and so forth. The lines that start with ‘Point’ after each ‘Track’ represent the point in space in the video for each individual in a given frame. The second column after ‘Point’ simply refers to the point ID in the frame “e.g. Point 1”. The third and fourth columns represent the ‘x’ and ‘y’ coordinates in the video frame. The fourth, fifth, and sixth columns represent the dimensions of an image stack. In this case, the fourth and sixth columns are fixed to 1 and the fifth column represents the frame at which the point is taken. Each point is captured in 5-frame increments. <h2>Code/Software</h2> <h3>Supplementary_Archive_3.zip</h3> This archive contains the code necessary to reproduce the results of the study in the form of a Mathematica notebook. It also contains a folder with the trajectory data for each individual of a harvester ant colony, in a simplified format from that available in Supplementary_Archive_2.zip. Each CSV file in this folder corresponds to a different colony. It has four columns, respectively representing the identifying number of the individual observed, the frame number at which the observation, and the ‘x’ and ‘y’ coordinates, in that order. Finally, a XLSX file contains the number of individuals in each colony (first column), the metabolic rate of the colony (second column), and the identifying number of the colony (third column; numbers followed by the letter 's' correspond to size-reduced colonies).

opencc-by-4.0Dec 2021View details →

Figure 2 in Parasitoids of the uniquely social colletid bee Amphylaeus morosus (Hymenoptera: Colletidae) in Victoria

Figure 2. Nest dissections showing the two typical nesting structures for Amphylaeus morosus in the Dandenong Ranges: a, typical structure of a solitary nest; b, close-up of brood cells directly followed by a pithy cell plug, interspersed with vestibular cells; c, typical structure of a social nest; d, close-up of brood cells laid sequentially. Scale bar = 10 mm.