Article
Ecology
Matthew J. Hasenjager, Ellouise Leadbeater, William Hoppitt
Summary: Although demonstrating social learning in freely interacting animals has been challenging, network-based diffusion analysis (NBDA) provides a method for detecting social learning; This paper provides a comprehensive guide for using NBDA, including its mathematical framework, types of questions it can address, social network selection, NBDA variant selection, interpretation of model output, and practical recommendations for model selection.
JOURNAL OF ANIMAL ECOLOGY
(2021)
Article
Ecology
Sebastian Sosa, Cedric Sueur, Ivan Puga-Gonzalez
Summary: This article provides an overview of the commonly used social network measures in animal research, explaining what they measure, describing their variants, providing guidelines for their use, and highlighting existing gaps and challenges. Researchers are advised to choose appropriate measures based on their research questions and data collection methods, while also considering future research directions and unresolved issues.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Ecology
Daniel W. Franks, Michael N. Weiss, Matthew J. Silk, Robert J. Y. Perryman, Darren P. Croft
Summary: When testing hypotheses using social network data, relying solely on permutations to control for confounding variables may result in highly biased effect size estimates that are uninformative when quantifying differences in behavior. Controlling for confounding variables in the statistical model is recommended as standard practice in the analysis of animal social network data.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Multidisciplinary Sciences
Barbara C. Klump, John M. Martin, Sonja Wild, Jana K. Hoersch, Richard E. Major, Lucy M. Aplin
Summary: The behavior of wild sulphur-crested cockatoos opening household waste bins in Sydney demonstrates cultural adaptation to urban environments. Analysis of community science reports indicates that this behavior spread through social learning across multiple suburbs in Sydney, showing individual styles and site-specific differences. This example highlights the potential of culture to facilitate adaptive behavioral responses to anthropogenic change.
Article
Computer Science, Theory & Methods
D. Garompolo, A. Molinaro, A. Iera
Summary: With the increasing user privacy violations in centralized social networks, there is a strong need for effective platforms for decentralized online social networks (DOSNs). This paper proposes a disruptive approach that leverages a new class of Internet of Things (IoT) devices with autonomous social behaviors and cognitive abilities to overcome the limitations of existing solutions. By using these devices as friendship intermediaries, the paper demonstrates clear advantages in terms of increased delivery ratio in distributed social networks among humans.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Computer Science, Information Systems
Jun Hou, Shiyu Chen, Huaqiu Long, Qianmu Li
Summary: The paper "Research and Application of Influence Maximization in Online Network Communities" summarizes the recent achievements in the study of influence maximization in the computer field, with a focus on models and algorithms. It also discusses the issues, challenges, and future research directions in this field.
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING
(2022)
Article
Ecology
Ana Cristina R. Gomes, Neeltje J. Boogert, Goncalo C. Cardoso
Summary: Animal social network analysis often uses proximity data obtained from automated tracking of individuals. Optimizing proximity-based association criteria can help detect more network structure and identify biologically relevant associations. Simulation and empirical data analysis can help select the most biologically relevant criteria for social network analysis.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Article
Management
Max Mulhuijzen, Jeroen P. J. de Jong
Summary: Users can contribute to the improvement of a firm's product through online user innovation communities. The contributions of professional users have better diffusion rates in the community, especially when they have high commercial motivation or favorable network positions.
Article
Chemistry, Multidisciplinary
Hedia Zardi, Hanen Karamti, Walid Karamti, Norah Saleh Alghamdi
Summary: This research proposes a community-based anomaly detection method that can detect and rank anomalous users in online social networks. The approach measures the degree of deviation in both network structure and attribute selection to determine the level of anomaly. Experiments show that this method outperforms baseline algorithms in terms of accuracy.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Shashank Sheshar Singh, Divya Srivastva, Ajay Kumar, Vishal Srivastava
Summary: The growing popularity of online social networks has led to challenges in link prediction, as traditional methods often overlook critical factors. A fuzzy-based link prediction algorithm is proposed using information diffusion, which has been shown to outperform traditional algorithms in terms of accuracy.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Kristo Radion Purba, David Asirvatham, Raja Kumar Murugesan
Summary: This study proposes three new and more realistic diffusion models for selecting suitable social media influencers. These models take into account the engagement level and activeness of users, and are validated by comparing activated users against actual influenced users. The experiments demonstrate that the proposed models are more realistic and generate more engaging and active users.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Psychology, Multidisciplinary
Niklas Pivecka, Roja Alexandra Ratzinger, Arnd Florack
Summary: This study examines the role of valence and arousal in the social transmission of politicians' messages on Twitter. The results indicate that negative emotions decrease the probability of retweets, while high arousal increases the likelihood of retweets. Furthermore, positive emotions were found to increase the chances of message sharing, contrary to the commonly mentioned negativity bias.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Ecology
Matthew J. Hasenjager, William Hoppitt, Iona Cunningham-Eurich, Victoria R. Franks, Ellouise Leadbeater
Summary: This study analyzed social connectivity patterns during the reactivation of experienced foragers in familiar feeding sites and found that multiple communication networks in honeybee colonies play complementary roles in guiding forager behavior, rather than simply providing redundant information. Both scent-based and dance-based interactions contribute to reactivation decisions, with dance-following having a particularly strong effect on a follower's likelihood of reactivation.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Hairu Luo, Peng Jia, Anmin Zhou, Yuying Liu, Ziheng He
Summary: A deep learning-based framework named BND is proposed in this paper for quickly and accurately detecting bridge nodes in networks. By considering the multi-dimensional attributes and structural characteristics of nodes, an attribute graph is constructed to extract bridging-related attributes. Graph neural network layers are used to process the attribute graph in the deep learning model, and fully connected layers are added to improve the classification effect. The experiments show that the framework can effectively capture network topology information and accurately detect bridge nodes.
APPLIED SCIENCES-BASEL
(2022)
Article
Ecology
Jordan D. A. Hart, Daniel W. Franks, Lauren J. N. Brent, Michael N. Weiss
Summary: The study introduces a method for computing network correlation using a Gamma-Poisson model, and shows that the level of network correlation affects the power of nodal regression analyses. It also demonstrates the positive impact of social differentiation, mean social event rate, and harmonic mean of sampling times on network correlation strength.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Biochemistry & Molecular Biology
Jelle Boonekamp, Rolando Rodriguez-Munoz, Paul Hopwood, Erica Zuidersma, Ellis Mulder, Alastair Wilson, Simon Verhulst, Tom Tregenza
Summary: Telomeres were found at chromosome-ends of the model insect Gryllus campestris, with lengths much longer than human infants' telomeres. Neither temperature treatment nor age affected telomere length, although high heritability of telomere length was observed. Further investigation is needed to explore the relationship between telomere length maintenance and fitness during rapid growth phases.
Article
Ecology
George J. F. Swan, Stuart Bearhop, Stephen M. Redpath, Matthew J. Silk, Daniel Padfield, Cecily E. D. Goodwin, Robbie A. McDonald
Summary: Releasing gamebirds for sport shooting may have direct or indirect effects on the abundance and distribution of native wildlife. The abundance of generalist predators is positively associated with the abundance of gamebirds, which can indirectly impact prey populations. It was found that the territory size of buzzards was weakly correlated with the abundance of gamebirds, but not with rabbits or voles. Additionally, the provisioning of rabbits, but not gamebirds or voles, influenced the number of buzzard chicks. The associations between buzzards and gamebirds may be influenced by predator management and the availability of alternative prey.
ECOLOGY AND EVOLUTION
(2022)
Article
Behavioral Sciences
Tom Tregenza, Petri T. Niemela, Rolando Rodriguez-Munoz, Paul E. Hopwood
Summary: Both male ID and the ID of their burrow affect the likelihood that a male is paired with a female, but the burrow has a consistently greater influence. Furthermore, the relative attractiveness of an individual male depends on which burrow he occupies.
BEHAVIORAL ECOLOGY
(2022)
Review
Ecology
Mark Q. Wilber, Joseph DeMarchi, Nina H. Fefferman, Matthew J. Silk
Summary: Identifying maintenance and reservoir species is crucial for disease management, but there is a lack of systematic understanding and application of mechanistic models. A literature review found that most studies draw conclusions about maintenance potential based solely on observational data, with minimal use of mechanistic modeling. To address biases in inferring maintenance potential, multihost-parasite models were developed and a new theory was proposed. The integration of wildlife disease surveillance and mechanistic models is necessary to improve the robustness and reproducibility of conclusions regarding maintenance and reservoir species.
JOURNAL OF ANIMAL ECOLOGY
(2022)
Article
Health Care Sciences & Services
Alexander J. Pritchard, Matthew J. Silk, Simon Carrignon, R. Alexander Bentley, Nina H. Fefferman
Summary: Reporting on disease outbreaks plays a crucial role in influencing the spread of epidemics and individual decisions. The content and scale of the reports have impacts on behavior. Reporting total active and new cases at the population level is the most effective approach.
JOURNAL OF PUBLIC HEALTH POLICY
(2022)
Article
Ecology
Matthew J. Silk, Mark Q. Wilber, Nina H. Fefferman
Summary: Network approaches have revolutionized the study of ecological interactions, but conventional methods have limitations in capturing higher-order interactions. Simplicial sets provide a solution, allowing for a more comprehensive analysis of social, transmission, movement/spatial, and ecological networks. This article presents the concept of simplicial sets, their benefits in various subject areas, and a novel approach to studying pathogen persistence. Specific metrics, generative models, and software are also highlighted.
Article
Ecology
Vlad Demartsev, Michal Haddas-Sasson, Amiyaal Ilany, Lee Koren, Eli Geffen
Summary: Rhythmic stability is important for neural and physiological functions, and the study found that male rock hyraxes with more frequent singing events tend to have more surviving offspring. The rhythmic profile of hyrax songs is predominantly isochronous, and the ratio of isochronous vocal element transitions to off-integer transitions is positively correlated with male reproductive success.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Anne Aagaard, Shenglin Liu, Tom Tregenza, Marie Braad Lund, Andreas Schramm, Koen J. F. Verhoeven, Jesper Bechsgaard, Trine Bilde
Summary: Understanding the role of genetic and nongenetic variants in shaping phenotypic responses to local environments is crucial for our understanding of evolutionary potential. By conducting environmental association studies, we found strong associations between genetic and nongenetic variation and environmental factors. Genetic variants were strongly correlated with average temperature, while DNA methylation variation was correlated with multiple climate parameters. Microbiome composition was mainly associated with precipitation-related climatic factors.
Article
Biology
Camille N. M. Bordes, Rosanne Beukeboom, Yael Goll, Lee Koren, Amiyaal Ilany
Summary: This study investigated the nighttime sociality of rock hyraxes and its relationship with daytime social structure. The results showed that hyraxes are more selective of their social affiliates at night and reallocate the weights of social relationships at the daily and monthly scales while maintaining overall network topology.
COMMUNICATIONS BIOLOGY
(2022)
Article
Ecology
Matthew J. Silk, Olivier Gimenez
Summary: Social networks and population dynamics are connected; interaction is driven by population density and demographic structure, and social relationships can impact survival and reproductive success. However, challenges in integrating demographic and network analysis models have limited research in this area. We introduce the R package genNetDem that can simulate integrated network-demographic datasets, allowing for methodological research and testing of network effects on survival.
ECOLOGY AND EVOLUTION
(2023)
Editorial Material
Behavioral Sciences
Matthew J. Silk
Summary: Networks are widely used in animal behavior research to represent, quantify, and model behavior patterns. Different conceptual representations of network data exist, making it challenging to choose the appropriate tool to answer a specific question. An overview of different network representations is provided, emphasizing their potential applications in behavioral ecology and highlighting key resources for implementation. The aim is to assist behavioral ecologists in effectively utilizing the various ways their data can generate social and other networks.
Article
Multidisciplinary Sciences
Matthew J. Young, Matthew J. Silk, Alexander J. Pritchard, Nina H. Fefferman
Summary: Individual host behaviours have a significant impact on the spread of infection in populations. Differences in individuals' prioritization of socializing and avoiding infection lead to social homophily and affect epidemic outcomes. This study explores how individuals who do not conform to their social surroundings contribute to infection propagation during outbreaks. The findings demonstrate how non-conforming individuals can become functional superspreaders, facilitating infection transmission between separate communities. These results are important for estimating intervention success and planning strategies to mitigate the impact of non-conformists on interventions.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2023)
Article
Ecology
Gregory F. Albery, Shweta Bansal, Matthew J. Silk
Summary: Comparing social network structures between species is important for understanding ecological and evolutionary processes. This article provides an overview of multispecies comparative social network studies in ecology and evolution, identifies key challenges, and offers methodological and empirical suggestions for future research. The aim is to encourage more publication and analysis of open social network datasets in animal ecology.
Article
Biodiversity Conservation
Beatrice C. Downing, Matthew J. Silk, Richard J. Delahay, Stuart Bearhop, Nick J. Royle
Summary: The management interventions of culling did not significantly increase individual social connectivity in a resident Canada goose population. Instead, the surviving geese responded by strengthening existing social relationships and forming new, compensatory relationships with local birds. However, the establishment of new associations was limited and occurred locally.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Multidisciplinary Sciences
Simon Carrignon, R. Alexander Bentley, Matthew Silk, Nina H. Fefferman
Summary: The global pandemic of COVID-19 has shown that individuals have varied responses to infection risks and social learning. This study demonstrates the influence of individual observation and social learning on behavior and epidemiological dynamics. Simulation results are consistent with real-world data and observations, suggesting that the reliance on different types of learning can impact the course of an outbreak and should be considered in policy-based interventions.