We explore the possibilities of statistical modelling of 3-layer socio-cultural data (see Basov and Kholodova, 2022). In particular, we juxtapose two theoretical perspectives on the creation of meaning in joint practice and interaction. On the one hand, symbolic interactionism argues that joint material embeddedness, especially creative practice, enables creation of shared cultural meanings....
Estimating exponential random graph models (ERGMs) with missing data on nodal attributes (e.g., missing gender, age, ethnicity, ...) is currently not possible with the ergm() function of the ergm R-package, the most used software to estimate ERGMs. We have developed a new estimation of Bayesian ERGMs, implemented in the bergmM() function in the Bergm R-package, capable of estimating (Bayesian)...
Cooperation is needed when individuals cannot achieve specific outcomes on their own (Giardini & Wittek, 2019). The relationship between cooperation, gossip, and reputation has been extensively documented in experimental conditions (e.g., Sommerfeld et al., 2008; Wu et al., 2016), as well as some of these relationships partially in field studies. Gossip affects reputation (Burt, 2008); and...
The composition of self-assembled social groups is believed to reflect the biological imperatives, personal preferences, and strategies of the group members. A handful of statistical models have recently been proposed to explain the composition of social groups and uncover the mechanisms driving their formation. However, it remains unclear whether these models can be used to test theories of...
While exponential random graph models (ERGMs) are not necessarily suitable for large or sampled networks, there are instances where we would like to estimate ERGMs for networks that are partially observed or networks that are too large for regular estimation methods. There are a number of approximate likelihood-based approaches for large networks but assessing the accuracy of these approximate...
Spatio-temporal interactive processes, such as alien species invasions, play a key role in ecology. Existing methods studying such processes often simplify the dynamic structure or the complex interactions of the ecological drivers. In this talk, we show how to use relational event modelling (REM) for analyzing patterns of ecological interaction processes at large spatial scales including...
Social networks are systems of actors tied by relationships. These relationships frequently emerge from and are maintained through relational actions, such as instances of communication or exchange. Often, these relational actions can be measured directly, e.g., when people use electronic communication devices. They can be recorded as relational events, i.e., time-stamped sequences of...
Advice-seeking typically cuts across organizational boundaries by means of informal connections. By using Stochastic Actor-Oriented Models (SAOM), previous research has tried to identify micro-level mechanisms behind these informal connections. Unfortunately, these models assume perfect network information, do not consider threshold-based critical events, such as simultaneous tie changes, and...
The last 20 years have seen a substantial reduction of the global incidence of malaria, although this reduction has not happened uniformly, resulting in a disproportionate risk of infection among hard-to-reach populations. Most studies that measure uptake of personal protections look at the relationship between individuals’ characteristics to preventive and treatment behaviours. Less attention...
The citation network of patents citing prior art arises from the legal obligation of patent applicants to properly disclose their inventions. One way to study the relationship between current patents and their antecedents is by analyzing the similarity between the textual elements of patents. Many patent similarity indicators have shown a constant decrease since the mid-70s. Although several...
In this presentation, we introduce a new class of latent space models to analyze the import/export trade data between a number of European countries. We assume that the probability of having a commercial relationship between two countries often depends on some unobservable (or not easy-to-measure) factors, like socio-economical conditions, political views, level of the infrastructures. To...
In recent years, hypergraphs have emerged as a powerful tool to study systems with multi-body interactions which cannot be trivially reduced to pairs. While highly structured benchmark models have proved fundamental for the standardized evaluation of algorithms and the statistical study of real-world networked data, these are scarcely available in the context of hypergraphs.
In this talk, we...
A literature on multivariate functional graph models has emerged in recent years. The graphical representation of conditional dependency among a finite number of random variables is indeed appealing in a variety of applications, such as brain connection studies. We want to investigate a novel extension of this methodology that considers spatially and temporally correlated random functions. A...
