A central task in network analysis is to model social influence, that is, how the social environment shapes individual behaviors and outcomes. Autologistic actor attribute models (ALAAMs) provide a relevant framework for this purpose, using an exponential-family formulation to model binary actor-level outcomes given an observed network. However, ALAAMs treat the network as a fixed,...
Recent advances in technology have made it easier to collect large and complex time-stamped relational hyper-event data. This type of data captures events involving more than two entities at the same time. Relational Hyper Event Models (RHEMs) aim to explain the dynamics of these events by modeling the event rate as a function of statistics based on history and external information.
However,...
In the age of hyperconnectivity, digital environments increasingly influence emotional states specifically social media platforms consuming algorithmic curation for maximizing user engagement. This paper presents the notion of the Digital Mood Swing a concept characterizing sudden, often unforeseen changes in emotional well-being because of digital interaction. Based on interdisciplinary...
This study demonstrates the pedagogical value of Systematic Literature Network Analysis (SLNA) for teaching Social Network Analysis (SNA) across disciplinary boundaries. By applying SLNA to the field of in-work poverty research in Europe, the study exemplifies how computational network techniques can be integrated into higher education curricula to foster critical engagement with academic...
This paper examines the characteristics of inter-organisational networks in post-disaster recovery, focusing on their ability to adapt and remain effective over time. While extensive research has explored such networks during the preparedness and response phases, their role in long-term recovery has received less attention. Unlike the response phase, recovery is a multi-year process involving...
Social media are a fundamental arena in the context of electoral campaigns, offering a new dynamic space for political communication and public engagement. During elections, these platforms are not only used by political actors to share and disseminate content, but they are also a space where users interact, express their opinions, and influence each other. User comments, in particular,...
There is a strong consensus in the social and health sciences that the quality, quantity, and diversity of social connections are vital for human well-being. Social relationships have intrinsic value and play an instrumental role in contributing significantly to physical health. As a result, disparities in social relationships not only reflect social inequality but also contribute to unequal...
Social Representation Theory (SRT) provides a robust framework for investigating how social groups construct shared systems of meaning, particularly through discourse. At its core lie two fundamental cognitive and communicative processes: anchoring, whereby new information is assimilated by linking it to familiar categories, thus enabling interpretation and classification; and objectification,...
