0000000000096182
AUTHOR
Ivan Puga-gonzalez
showing 22 related works from this author
sj-pdf-1-ssc-10.1177_08944393221082685 – Supplemental Material for Adapting Cohort-Component Methods to a Microsimulation: A case study
2022
Supplemental Material, sj-pdf-1-ssc-10.1177_08944393221082685 for Adapting Cohort-Component Methods to a Microsimulation: A case study by Ivan Puga-Gonzalez, Rachel J. Bacon, David Voas, F. LeRon Shults, George Hodulik and Wesley J. Wildman in Social Science Computer Review
InCREDulity in Artificial Societies
2021
This paper describes an artificial society in which the simulated agents behave and interact based on a computational architecture informed by insights from one of the leading social psychological theories in the scientific study of secularization and religion: “credibility-enhancing displays” (or CREDs) theory. After introducing the key elements of the theory and outlining the computational architecture of our CRED model, we present some of our initial simulation results. These efforts are intended to advance the quest within social simulation for more authentic artificial societies and more plausible human-like agents with complex interactive and interpretative capacities.
sj-pdf-1-ssc-10.1177_08944393221082685 – Supplemental Material for Adapting Cohort-Component Methods to a Microsimulation: A case study
2022
Supplemental Material, sj-pdf-1-ssc-10.1177_08944393221082685 for Adapting Cohort-Component Methods to a Microsimulation: A case study by Ivan Puga-Gonzalez, Rachel J. Bacon, David Voas, F. LeRon Shults, George Hodulik and Wesley J. Wildman in Social Science Computer Review
The consistency of individual centrality across time and networks in wild vervet monkeys
2021
Previous primate social network studies largely limited their focus to grooming and/or aggression networks, particularly among adult females. In addition, the consistency of individuals' network centrality across time and/or different networks has received little attention, despite this being critical for a global understanding of dynamic social structure. Here, we analyzed the grooming, aggression, and play social networks of a group of 26-28 wild vervet monkeys (Chlorocebus pygerythrus), including adults and juveniles, over two periods of 6 months. We collected data on grooming, play, and aggression using focal animal sampling with instantaneous recording and ad libitum sampling. We exami…
Best Friends Forever? Modeling the Mechanisms of Friendship Network Formation
2020
The formation of friendships and alliances is a ubiquitous feature of human life, and likely a crucial component of the cooperative hunting and child-rearing practices that helped our early hominin ancestors survive. Research on contemporary human beings typically finds that strong-tie social networks are fairly small, and reveals a high degree of physical (e.g., age) and social-structural (e.g., educational attainment) homophily. Yet, existing work all too often underestimates, or even ignores, the importance of abstract, symbolic homophily (such as shared identities or worldviews) as a driver of friendship formation. Here we employ agent-based modeling to identify the optimal variable wei…
Modeling Marginalization: Emergence, Social Physics, and Social Ethics of Bullying
2020
In this paper, we outline the construction and initial simulation experiment results of the Marginalization model (MARG). We experiment under different group parameters because the theoretical paradigm we follow views bullying as a result of social processes. Our primary research question explores the possibility of bullying emergence as agents select interaction partners in a university setting. Based on the simulated process, our results take indications of the stress of marginalization in a student group as a proxy for emer-gent marginalization. MARG simulates two types of interactions between pairs of students: forced and hang-out interactions. In the latter, students decide whether to …
Minority Integration in a Western City: An Agent-Based Modelling Approach
2019
This chapter describes the design and construction of an agent-based model we refer to as the ‘Simulation of Extended Time Integration’ (SETI) model. This model was designed with the goal of obtaining a better understanding of the conditions and mechanisms leading to the structural, social, and cultural integration of minorities into large Western societies. SETI is a virtual society with structural (employment, income, education) and demographic (marriage, reproduction, life expectancy) variables typical of Westerns countries. Initialization occurs after a hypothesized immigration event in which a single minority population settles into the majority population, bracketing the first decade …
Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
2021
Statistical models attempting to predict who will disaffiliate from religions have typically accounted for less than 15% of the variation in religious affiliations, suggesting that we have only a partial understanding of this vital social process. Using agent-based simulations in three “artificial societies” (one predominantly religious; one predominantly secular; and one in between), we demonstrate that worldview pluralism within one’s neighborhood and family social networks can be a significant predictor of religious (dis)affiliation but in pluralistic societies worldview diversity is less important and, instead, people move toward worldview neutrality. Our results suggest that there may …
The effects of data collection and observation methods on uncertainty of social networks in wild primates
2020
International audience; In social species, network centralities of group members shape social transmission and other social phenomena. Different factors have been found to influence the measurement of social networks, such as data collection and observation methods. In this study, we collected data on adults and juveniles and examined the effect of data collection method (ad libitum sampling vs. focal animal sampling) and observation method (interaction—grooming; play—vs. association—arm‐length; 2 m; 5 m proximities—) on social networks in wild vervet monkeys. First, we showed using a bootstrapping method, that uncertainty of ad libitum grooming and play matrices were lesser than uncertaint…
Adapting Cohort-Component Methods to a Microsimulation: A case study
2022
Social scientists generally take United Nations (UN) population projections as the baseline when considering the potential impact of any changes that could affect fertility, mortality or migration, and the UN typically does projections using the cohort-component method (CCM). The CCM technique is computationally simple and familiar to demographers. However, in order to avoid the exponential expansion of complexity as new dimensions of individual difference are added to projections, and to understand the sensitivity of projections to specific conditions, agent-based microsimulations are a better option. CCMs can mask hidden assumptions that are surfaced by the construction of microsimulatio…
Interacting With Human Simulations: A Prototype Application
2019
The process of interacting and executing agent-based simulations of human phenomena is complex and difficult to follow for lay people. This is due to 1) limited access to computing power, 2) difficulty in writing analytics scripts and 3) the size and complexity of the simulation space. Consequently, agent-based simulations are normally used once to answer a limited set of questions instead of exploring all the potential paths that the model offers. Here, we describe an approach for developing user experiences that automate the analytic process and rely on interactive visualizations and life histories of societies and agents. This approach helps the user visualize simulation results, pin-poi…
Belief in God, Confidence in the Church and Secularization in Scandinavia
2021
We used the three latest rounds of the religion module of International Social Survey Programme to study secularization in Denmark, Norway, and Sweden, focusing on belief in God. We restricted our sample to the affiliated with the majority Protestant churches and the unaffiliated and analyzed the trends toward disaffiliation and disbelief in God. Then, we studied the association between confidence in churches, religious/secular upbringing, and demographic controls with belief in God using multinomial logistic regression models. Our treatment of belief in God as a nominal variable allowed the inclusion of both the element of doubt and different images of God in the analyses. The trends towar…
A multilevel statistical toolkit to study animal social networks: the Animal Network Toolkit Software (ANTs) R package
2020
Abstract The possible role played by individual attributes, sociodemographic characteristics and/or ecological pressures in the interaction between animals and the development of social relationships between them is of great interest in animal ecology and evolutionary biology. Social Network Analysis is an ideal tool to study these types of questions. The Animal Network Toolkit Software (ANTs) R package was specifically developed to provide all the different social network analysis techniques currently used in the study of animal social networks. This global package enables users to (1) compute global, polyadic and nodal network measures; (2) perform data randomisation: data stream and netw…
Simulated poaching affects global connectivity and efficiency in social networks of African savanna elephants-An exemplar of how human disturbance im…
2022
Selective harvest, such as poaching, impacts group-living animals directly through mortality of individuals with desirable traits, and indirectly by altering the structure of their social networks. Understanding the relationship between disturbance-induced, structural network changes and group performance in wild animals remains an outstanding problem. To address this problem, we evaluated the immediate effect of disturbance on group sociality in African savanna elephants—an example, group-living species threatened by poaching. Drawing on static association data from ten free-ranging groups, we constructed one empirically based, population-wide network and 100 virtual networks; performed a …
Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the Inte…
2019
We present a study of the dimensionality and factorial invariance of religiosity for 26 countries with a Christian heritage, based on the 1998 and 2008 rounds of the International Social Survey Programme (ISSP) Religion survey, using both exploratory and multi-group confirmatory factor analyses. The results of the exploratory factor analysis showed that three factors, common to Christian and religiously unaffiliated respondents, could be extracted from our initially selected items and suggested the testing of four different three-factor models using multi-group confirmatory factor analysis. For the model with the best fit and measurement invariance properties, we labeled the three resulting…
Null models for animal social network analysis and data collected via focal sampling: Pre‐network or node network permutation?
2020
In social networks analysis, two different approaches have predominated in creating null models for hypothesis testing, namely pre‐network and node network permutation approaches. Although the pre‐network permutation approach appears more advantageous, its use has mainly been restricted to data on associations and sampling methods such as ‘group follows’. The pre‐network permutation approach has recently been adapted to data on interactions and the focal sampling method, but its performance in different scenarios has not been thoroughly explored. Here, we assessed the performance of the pre‐network and node network permutation approach in several simulated scenarios based on proneness to fa…
Network measures in animal social network analysis : Their strengths, limits, interpretations and uses
2020
International audience; We provide an overview of the most commonly used social network measures in animal research for static networks or time‐aggregated networks. For each of these measures, we provide clear explanations as to what they measure, we describe their respective variants, we underline the necessity to consider these variants according to the research question addressed, and we indicate considerations that have not been taken so far. We provide a guideline indicating how to use them depending on the data collection protocol, the social system studied and the research question addressed. Finally, we inform about the existent gaps and remaining challenges in the use of several va…
Opposing Forces of Social Attraction and Social Avoidance Drive Network Modularity
2020
SUMMARY: How interactions between individuals contribute to the emergence of complex societies is a major question in biology. Nonetheless, little remains known about how simple rules of social attraction (e.g. to information) and social avoidance (e.g. of disease) interact to shape sociality. We developed an individual-based model where individuals choose with whom to interact depending on the status of group mates (informed and/or infected). Statistical models indicate that the emergence of social structure depends on the cost/benefit trade-offs underlying the system. Critically, pressures that optimize social relationships – i.e. minimize risky connections while favouring those that maxi…
Mechanisms of reciprocity and diversity in social networks: a modeling and comparative approach
2018
Individual-based computer models show that different mechanisms, proximity-based or emotional bookkeeping, can lead to reciprocation. By comparing social networks from different computer models with those of empirical data, we show that the models’ social networks bear limited resemblance with some features of the observed social networks. This indicates that additional social processes (third-party awareness) may be needed in these models to represent more accurately the social behavior and interaction patterns observed in group-living animals.
A multilevel statistical toolkit to study animal social networks: Animal Network Toolkit (ANT) R package
2018
AbstractHow animals interact and develop social relationships regarding, individual attributes, sociodemographic and ecological pressures is of great interest. New methodologies, in particular Social Network Analysis, allow us to elucidate these types of questions. However, the different methodologies developed to that end and the speed at which they emerge make their use difficult. Moreover, the lack of communication between the different software developed to provide an answer to the same/different research questions is a source of confusion. The R package Animal Network Toolkit (ANT) was developed with the aim of implementing in one package the many different social network analysis tech…
The Artificial Society Analytics Platform
2020
Author's accepted manuscript Social simulation routinely involves the construction of artificial societies and agents within such societies. Currently there is insufficient discussion of best practices regarding the construction process. This chapter introduces the artificial society analytics platform (ASAP) as a way to spark discussion of best practices. ASAP is designed to be an extensible architecture capable of functioning as the core of many different types of inquiries into social dynamics. Here we describe ASAP, focusing on design decisions in several key areas, thereby exposing our assumptions and reasoning to critical scrutiny, hoping for discussion that can advance debate over be…
Data from: Mechanisms of reciprocity and diversity in social networks: a modelling and comparative approach
2018
Three mechanisms have been proposed to underlie reciprocation of social behaviors in gregarious animals: ‘calculated reciprocity’, ‘emotional bookkeeping’ and ‘symmetry-based reciprocity’. Among these explanations, emotional book-keeping has received the broadest support from experimental and observational studies. On the other hand, three individual-based models have shown that reciprocation may emerge via ‘symmetry-based reciprocity’, ‘emotional bookkeeping’, or a combination of both mechanisms. Here we use these three models to assess their relative fit with empirical data on reciprocation and social network structure across different groups and species of macaques. We collected grooming…