Find research datasets worth reusing

opencc-zeroDec 2010View details →

Data from: The evolution of generalized reciprocity on social interaction networks

Generalized reciprocity ("help anyone, if helped by someone") is a minimal strategy capable of supporting cooperation between unrelated individuals. Its simplicity makes it an attractive model to explain the evolution of reciprocal altruism in animals that lack the information or cognitive skills needed for other types of reciprocity. Yet, generalized reciprocity is anonymous and thus defenseless against exploitation by defectors. Recognizing that animals hardly ever interact randomly, we investigate whether social network structure can mitigate this vulnerability. Our results show that heterogeneous interaction patterns strongly support the evolution of generalized reciprocity. The future probability of being rewarded for an altruistic act is inversely proportional to the average connectivity of the social network when cooperators are rare. Accordingly, sparse networks are conducive to the invasion of reciprocal altruism. Moreover, the evolutionary stability of cooperation is enhanced by a modular network structure. Communities of reciprocal altruists are protected against exploitation, because modularity increases the mean access time, i.e., the average number of steps that it takes for a random walk on the network to reach a defector. Sparseness and community structure are characteristic properties of vertebrate social interaction patterns, as illustrated by network data from natural populations ranging from fish to primates.

opencc-zeroDec 2016View details →

Data from: Mortality risk and social network position in resident killer whales: sex differences and the importance of resource abundance

An individual's ecological environment affects their mortality risk, which in turn has fundamental consequences for life history evolution. In many species social relationships are likely to be an important component of an individual's environment, and therefore their mortality risk. Here we examine the relationship between social position and mortality risk in resident killer whales (Orcinus orca) using over three decades of social and demographic data. We find that the social position of male, but not female, killer whales in their social unit predicts their mortality risk. More socially integrated males have a significantly lower risk of mortality than socially peripheral males, particularly in years of low prey abundance, suggesting that social position mediates access to resources. Male killer whales are larger and require more resources than females, increasing their vulnerability to starvation in years of low salmon abundance. More socially integrated males are likely to have better access to social information and food sharing opportunities which may enhance their survival in years of low salmon. Our results show that observable variation in the social environment is linked to variation in mortality risk, and highlight how sex differences in social effects on survival may be linked to sex differences in life-history evolution.

opencc-zeroDec 2014View details →

Data from: Impact of repeated exposures on information spreading in social networks

Clustered structure of social networks provides the chances of repeated exposures to carriers with similar information. It is commonly believed that the impact of repeated exposures on the spreading of information is nontrivial. Does this effect increase the probability that an individual forwards a message in social networks? If so, to what extent does this effect influence people's decisions on whether or not to spread information? Based on a large-scale microblogging data set, which logs the message spreading processes and users' forwarding activities, we conduct a data-driven analysis to explore the answer to the above questions. The results show that an overwhelming majority of message samples are more probable to be forwarded under repeated exposures, compared to those under only a single exposure. For those message samples that cover various topics, we observe a relatively fixed, topic-independent multiplier of the willingness of spreading when repeated exposures occur, regardless of the differences in network structure. We believe that this finding reflects average people's intrinsic psychological gain under repeated stimuli. Hence, it makes sense that the gain is associated with personal response behavior, rather than network structure. Moreover, we find that the gain is robust against the change of message popularity. This finding supports that there exists a relatively fixed gain brought by repeated exposures. Based on the above findings, we propose a parsimonious model to predict the saturated numbers of forwarding activities of messages. Our work could contribute to better understandings of behavioral psychology and social media analytics.

opencc-by-4.0Jan 2022View details →

Initially Submitted Version of: Supporting Information S2: Assessing the Social Dimension in Strategic Network Design for a Sustainable Development: The Case of Bioethanol Production in the EU

Supporting Information S2 to the manuscript Assessing the Social Dimension in Strategic Network Design for a Sustainable Development: The Case of Bioethanol Production in the EU handed in at the Journal of Industrial Ecology

opencc-zeroApr 2022View details →

Data on: The role of technical characteristics in blockchain adoption: survey data from German social media network users

Blockchain has become a hyped emerging technology that is predicted to be heavily influential in all our lives. Yet, until now, it has failed to deliver most of its advertised benefits. To tackle this problem and provide an explanation for the missing wider success, this study focuses on the role of technology features in the adoption of blockchain. Thus, this research integrates the view on technological characteristics, represented by aspects of the mindfulness concept, with the sociological aspects influencing technology adoption decisions based on the widely used unified theory of acceptance and use of technology (UTAUT). The resulting research model is evaluated using the partial least squares structural equation modelling (PLS-SEM) estimation approach with German social media network. The findings indicate that only high-level knowledge of distinct technology features (uniqueness) is influencing adoption decisions while the missing deeper understanding of these features hinders a careful evaluation of its benefits and meaningful use. This research expands the technology adoption literature by highlighting the role of technical characteristics and combining social, psychological and technological factors into one model. Further, it helps practitioners to understand the causes for the limited success of blockchain and advances the general knowledge on technology adoption.

opencc-by-4.0Oct 2022View details →

Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics

These datasets have been obtained through thousands of well-carried simulations by using the agent-based model based on a time-dynamic graph with stochastic transmission events.  These simulations have been conducted on MATLAB 2019a.

opencc-by-4.0Apr 2024View details →

Figure 1 of the paper "Multi-level structure of the First Tuesday communities after the 2000 dot-com crash: A social network analysis of economic actors based on web archives"

The temporal evolution of the firsttuesday.com website reconstructed from a collection of web archives by using the web cernes approach (Lobbé 2023). The website grows from the center of the figure in 1999, then splits into sub-sections. It was gradually abandoned after 2004 before being erased in 2010. The blue, green, and orange sections represent the sections where the First Tuesday meetings were announced.

opencdla-permissive-1.0May 2024View details →

Gut microbiome strain-sharing within isolated village social networks

Open the record for dataset details and reuse information.

opencc-by-4.0May 2023View details →

Dataset of the Distress Screening Scale for the article: Emotional distress, coping, and social support: A network analysis of risk and resources in persons with cancer

Dataset of the Distress Screening System comprises 52 items that relate to six psycho-social domains of human functioning: depression, anxiety, social support, coping efficacy, satisfaction with care, and functional status

Mindfulness Intervention and Online Social Networking

ClinicalTrials.gov study NCT06090760. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Using Social Networks to Promote Physical Activity in African American and Hispanic Women

ClinicalTrials.gov study NCT03199196. IPD Sharing: Not stated. Countries: 1. Publications: 0.

A Social Network Approach for Improving Medication Assisted Treatment and HIV Prevention and Medical Care Among People Who Inject Drugs in Ukraine

ClinicalTrials.gov study NCT05824702. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Social Network Intervention to Engage Out-of-Care PLH Into Treatment

ClinicalTrials.gov study NCT01825018. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Cartography of Social Cognition Network and Their Alterations in Patients With Epilepsy

ClinicalTrials.gov study NCT05527093. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Effectiveness of an HIV Prevention Program That Targets the Inner Workings of High-risk Social Networks

ClinicalTrials.gov study NCT00705705. IPD Sharing: Not stated. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

A Single Arm Pilot Trial of a Social Network Intervention

ClinicalTrials.gov study NCT05745038. IPD Sharing: YES. Countries: 1. Publications: 0.

Intensifying Multi-Drug Resistant Tuberculosis Contact Tracing by Social Network Analysis

ClinicalTrials.gov study NCT02175849. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Pilot of Social Network Intrauterine Contraceptive (IUC) Intervention

ClinicalTrials.gov study NCT01965743. IPD Sharing: Not stated. Countries: 1. Publications: 0.

Cross-Cultural Differences in the Network Structure of Social Anxiety and Body Dysmorphic Symptoms

ClinicalTrials.gov study NCT06962917. IPD Sharing: Not stated. Countries: 1. Publications: 0.