Article
Social Sciences, Interdisciplinary
Yalda Hashemi Ghoochani, Hashem Dadashpoor
Summary: Today, the movement of people and changes in demographic structure are challenging social-spatial cohesion in various regions. The increasing demographic diversity and cultural differences are altering the spatial structure. It is thus crucial to examine settlement patterns, social networks, and the psychological factors influencing them. Through the use of critical realism, this study investigates socio-spatial cohesion in the Mashhad metropolitan region, Iran. Data from structured and semi-structured interviews were analyzed using spatial statistics techniques, social network analysis, and thematic analysis. The results reveal a general pattern of segregation and clustering among ethnicities. The findings suggest that mental barriers play a significant role in the segregation and gaps between different groups in the area.
SOCIAL INDICATORS RESEARCH
(2023)
Article
Multidisciplinary Sciences
Kenneth S. Berenhaut, Katherine E. Moore, Ryan L. Melvin
Summary: Community structure is foundational to our understanding of the world, and meaningful structural information in dissimilarity-based data can be captured using a social concept-based approach without additional inputs or assumptions.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Ecology
Elizabeth F. R. Preston, Faye J. Thompson, Samuel Ellis, Solomon Kyambulima, Darren P. Croft, Michael A. Cant
Summary: Animal groups are heterogeneous assemblages of individuals with differing fitness interests, which may lead to internal conflict over investment in group territorial defence. Differences between individuals may lead to different behavioural responses to intergroup conflict, particularly between the sexes. These potential impacts have been little studied.
JOURNAL OF ANIMAL ECOLOGY
(2021)
Article
Physics, Multidisciplinary
Zhaohui Li, Wenjia Piao, Zhengyi Sun, Lin Wang, Xiaoqian Wang, Wenli Li
Summary: This study proposes a dynamic user influence ranking algorithm called UWUSRank, which comprehensively considers users' own influence, weighted indicators, users' interaction influence, and the similarity between user interests and topics. The algorithm determines users' own influence based on their activity, authentication information, and blog response, analyzes the propagation network properties of Weibo information, and quantifies the contribution value of followers' influence to the users they follow. The algorithm improves the rationality of user ranking and enables real-time monitoring of users' influence at different time periods during the process of public opinion dissemination.
Review
Computer Science, Information Systems
Norah Alotaibi, Delel Rhouma
Summary: This article provides an overview of the characteristics and challenges of community detection in dynamic social networks, and compares state-of-the-art methods. Researchers can use this survey to find the best methods and choose relevant future directions.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Ecology
Kristina B. Beck, Damien R. Farine, Josh A. Firth, Ben C. Sheldon
Summary: The structure of animal societies is influenced by factors such as habitat configuration and population size. In this study, the researchers investigated how population size and habitat configuration affect the social structure of great tits. They found that population size was consistent within locations and predicted by habitat configuration, and that it influenced social structure as measured by network metrics. Additionally, the researchers discovered that social decisions made by individuals played a significant role in shaping social network features.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Psychiatry
Sarita Silveira, Martin Hecht, Mazda Adli, Manuel C. Voelkle, Tania Singer
Summary: The current study explores the relationship between psychological vulnerability, psychological resilience, and social cohesion. The results suggest that psychological resilience and vulnerability do not constitute separate factors, but load on one bipolar latent factor. Additionally, social cohesion is composed of different independent psychological components, such as trust, social belonging, and social skills.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Public, Environmental & Occupational Health
Gabriela Gongora-Svartzman, Jose E. Ramirez-Marquez
Summary: Social cohesion plays a crucial role in disasters, influencing communities' resilience and risk mitigation. This research quantifies social cohesion through social media networks, analyzing relationship changes through graph network analysis and visualizing the evolution of social cohesion. This approach can provide valuable insights for future risk management and disaster mitigation policies.
Article
Psychology, Multidisciplinary
Ashley Flemington, Todd M. M. Loughead, Marie Desrosiers
Summary: The study of athlete leadership has become increasingly important in the past 15 years, especially regarding its impact on team cohesion. However, current research on this topic has been limited by traditional statistical methods. This study used social network analysis to examine athlete leadership and cohesion in a professional women's hockey team. The results showed a positive relationship between athlete leadership and cohesion, as well as significant correlations between self-rated athlete leadership and the network variables.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Shiqing Wu, Weihua Li, Quan Bai
Summary: In recent years, many applications have used incentive mechanisms to promote user attention and engagement. However, most incentive mechanisms rely on user attributes that may not be available in real-world applications. This research proposes a reinforcement learning-based framework called Geometric Actor-Critic (GAC) to address this problem and maximize incentivization results by leveraging social influence. The experimental results demonstrate that GAC can effectively allocate incentives in unknown social networks and outperform existing approaches.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao
Summary: Online Event-based social networks (EBSNs) like Meetup and Whova are popular platforms where users can publish, arrange, and participate in events. Managing EBSNs faces the challenge of generating satisfactory event arrangements that attract the maximum number of participants. Existing approaches overlook the competitive relationships among event organizers, leading to unacceptable event time allocations. Thus, this paper proposes an intelligent EBSNs platform that allocates social events properly in a global view. The platform-oriented Event Time Allocation (PETA) problem is defined, and a method, along with greedy and approximation algorithms, is proposed to solve it. Extensive experiments on real and synthetic datasets demonstrate the effectiveness and efficiency of the proposed algorithms.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Clinical Neurology
Maeher R. Grewal, Justin S. Golub
Summary: This study found an association between hearing loss and decreased social support, smaller/less diverse social networks, and less family cohesion in U.S. Hispanics.
OTOLOGY & NEUROTOLOGY
(2022)
Article
Public, Environmental & Occupational Health
Stephen Hunter, Gregory Farmer, Claire Benny, Brendan T. Smith, Roman Pabayo
Summary: Social fragmentation is associated with an increased hazard of deaths of despair among Canadian adults.
PREVENTIVE MEDICINE
(2023)
Article
Ecology
Maria Fernanda De la Fuente, Cedric Sueur, Paul A. Garber, Julio Cesar Bicca-Marques, Antonio Souto, Nicola Schiel
Summary: Within-group competition over food resources can be a major cost of social living, and exhibiting prosocial behaviors can benefit group members by developing affiliative social relationships and maximizing fitness. This study on common marmosets shows that food availability influences social tolerance and foraging association networks, with individuals adjusting partner choices and association strength in response to food availability. Additionally, social tolerance at feeding sites increases during conditions of expected contest competition, suggesting mutual benefits from maintaining affiliative relationships in cooperative breeding primates.
JOURNAL OF ANIMAL ECOLOGY
(2022)
Article
Chemistry, Analytical
Woong Son, Jungwook Choi, Soobum Park, Howon Lee, Bang Chul Jung
Summary: This paper proposes a time synchronization protocol for TDMA-based cooperative multi-hop wireless ad hoc networks, which is based on cooperative relay transmissions. A network time reference (NTR) selection technique is also proposed to improve the convergence time and average time error. Computer simulations show that the proposed protocol outperforms conventional methods in terms of average time error and convergence time.
Article
Biochemistry & Molecular Biology
Martin Quque, Claire Villette, Francois Criscuolo, Cedric Sueur, Fabrice Bertile, Dimitri Heintz
Summary: The social organization of eusocial insects plays a significant role in shaping individual physiological traits, with specific metabolic signatures matching specific social roles such as queens, nest-workers, and foraging workers. Differentiated metabolites are involved in nutrient sensing and longevity pathways, indicating potential universality of molecular pathways related to aging across taxa.
CELLULAR AND MOLECULAR LIFE SCIENCES
(2022)
Article
Ecology
Maria Fernanda De la Fuente, Cedric Sueur, Paul A. Garber, Julio Cesar Bicca-Marques, Antonio Souto, Nicola Schiel
Summary: Within-group competition over food resources can be a major cost of social living, and exhibiting prosocial behaviors can benefit group members by developing affiliative social relationships and maximizing fitness. This study on common marmosets shows that food availability influences social tolerance and foraging association networks, with individuals adjusting partner choices and association strength in response to food availability. Additionally, social tolerance at feeding sites increases during conditions of expected contest competition, suggesting mutual benefits from maintaining affiliative relationships in cooperative breeding primates.
JOURNAL OF ANIMAL ECOLOGY
(2022)
Review
Ecology
Iain D. Couzin, Conor Heins
Summary: The first response exhibited by animals to changing environments is usually behavioral and behavior is crucial in predicting and mitigating the effects of environmental changes on populations and ecosystems. However, the complexity of behavior and the difficulties in understanding how animals perceive their world and make decisions have limited behavioral research scope. Nevertheless, advances in electronics and machine learning offer powerful tools to observe, analyze, and interpret behavior, enabling the exploration of underlying generative processes.
TRENDS IN ECOLOGY & EVOLUTION
(2023)
Article
Multidisciplinary Sciences
Martin Quque, Charlotte Brun, Claire Villette, Cedric Sueur, Francois Criscuolo, Dimitri Heintz, Fabrice Bertile
Summary: Position within the social group has consequences on individual lifespans, especially in eusocial insects. This study analyzed the proteome and metabolome of black garden ant workers of different ages and social roles. The results revealed age-related differences primarily associated with worker subcaste rather than age, suggesting metabolic differences and potential cancer risk mitigation in extended lifespan.
SCIENTIFIC REPORTS
(2023)
Article
Agriculture, Dairy & Animal Science
Theophile Johnson, Emma Pilleboue, Maxime Herbrich, Eric Garine, Cedric Sueur
Summary: This study focuses on the social behavior of yaks in the Annapurna Valley of Nepal and the management practices of herders. The research finds that yaks exhibit cohesive and synchronized behavior, and herders use social relationships among individual animals to maintain group cohesion and effective management.
Article
Ecology
Benjamin Koger, Adwait Deshpande, Jeffrey T. T. Kerby, Jacob M. M. Graving, Blair R. R. Costelloe, Iain D. D. Couzin
Summary: This article introduces a new system for studying animal behavior in the wild, which uses drone-recorded videos and computer vision approaches to automatically track the location and body posture of free-roaming animals with high spatiotemporal resolution in georeferenced 3D landscape models.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Behavioral Sciences
Cedric Sueur, Sarah Zanaz, Marie Pele
Summary: Despite evidence of animals' neural substrates involved in emotions and consciousness, many animals are still restrained in research. These restraints can compromise findings by limiting adaptive behavior expression. Researchers should incorporate animal agency into their research paradigms for improved understanding of brain and behavior mechanisms.
JOURNAL OF COMPARATIVE PSYCHOLOGY
(2023)
Article
Biology
Vivek H. H. Sridhar, Jacob D. D. Davidson, Colin R. R. Twomey, Matthew M. G. Sosna, Mate Nagy, Iain D. D. Couzin
Summary: Many animal behaviors exhibit complex temporal dynamics, suggesting there are multiple timescales at which they should be studied. Researchers often focus on behaviors that occur over relatively restricted temporal scales, typically ones that are more accessible to human observation. This article presents a technique to study the time-varying nature of social influence in mobile animal groups across multiple temporal scales.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Lital Oscar, Liang Li, Dan Gorbonos, Iain D. Couzin, Nir S. Gov
Summary: This study investigates the decision-making process of zebrafish in determining their future travel direction while moving. By using virtual reality technology, the researchers observe how real fish respond to the movement of virtual conspecific leaders and construct a model that includes explicit decision-making processes. The model explains the observed spatial distribution of fish behind the virtual leaders and describes individual decision-making processes.
Editorial Material
Biology
Iain D. Couzin, Liang Li
Summary: When a fish wiggles its tail, it creates swirls in the water that can be utilized by other fish to conserve energy while swimming.
Review
Geriatrics & Gerontology
Celia Lemaire, Christophe Humbert, Cedric Sueur, Celine Racin
Summary: This study conducts a literature review to examine the use of digital technologies in addressing the socialization needs of long-term care facility residents during the COVID-19 pandemic. The results show the positive impact and expectations of digital technologies in supporting residents' social contact, as well as the limitations and barriers associated with their use.
Article
Environmental Sciences
Giovanna Fancello, Julie Vallee, Cedric Sueur, Frank J. van Lenthe, Yan Kestens, Andrea Montanari, Basile Chaix
Summary: The urban environment has a significant impact on the mental health of residents, with a focus on residential neighborhoods. Researchers in this study explored the effects of non-residential environments and the daily experience of urban spaces using a people-based approach focused on mobility paths. They found that momentary mental well-being is related to exposure to micro-urban spaces along daily mobility paths, especially when residents engage in leisure activities or active mobility and are exposed to walkable areas, water elements, and commerce, leisure, and cultural attractors.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Multidisciplinary Sciences
Mate Nagy, Hemal Naik, Fumihiro Kano, Nora V. Carlson, Jens C. Koblitz, Martin Wikelski, Iain D. Couzin
Summary: The SMART-BARN is a scalable multimodal platform that allows fast and robust tracking of animal behavior in groups within a large three-dimensional environment using multiple information channels. It can measure behavior from a wide range of animal taxa and sizes simultaneously, and integrates various measurement techniques and remote control units for real-time and offline analysis.
Editorial Material
Agriculture, Dairy & Animal Science
Cedric Sueur, Marie Pele
Proceedings Paper
Computer Science, Artificial Intelligence
Urs Waldmann, Hemal Naik, Nagy Mate, Fumihiro Kano, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke
Summary: This paper presents I-MuPPET, a system for estimating and tracking 2D keypoints of multiple pigeons. The system achieves fast and accurate results by training a neural network on single pigeons and using a state-of-the-art tracker for multiple pigeon sequences.
PATTERN RECOGNITION, DAGM GCPR 2022
(2022)
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)