Journal: Social Networks
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Elsevier
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Publications 1 - 10 of 26
- Reciprocity, transitivity, and the mysterious three-cycleItem type: Journal Article
Social NetworksBlock, Per (2015) - Some days are better than others: Examining time-specific variation in the structuring of interorganizational relationsItem type: Journal Article
Social NetworksAmati, Viviana; Lomi, Alessandro; Mascia, Daniele (2019) - The Emergence and Stability of Groups in Social NetworksItem type: Journal Article
Social NetworksStadtfeld, Christoph; Takács, Károly; Vörös, András (2020)An important puzzle in social network research is to explain how macro-level structures emerge from micro-level network processes. Explaining the emergence and stability of structural groups in social networks is particularly difficult for two reasons. First, because groups are characterized both by high connectedness within (group cohesion) and lack of connectedness between them (group boundaries). Second, because a large number of theoretical micro-level network processes contribute to their emergence. We argue that traditional social network theories that are concerned with the evolution of positive relations (forces of attraction) are not sufficient to explain the emergence of groups because they lack mechanisms explaining the emergence of group boundaries. Models that additionally account for the evolution of negative ties (forces of repulsion) may be better suited to explain the emergence and stability of groups. We build a theoretical model and illustrate its usefulness by fitting stochastic actor-oriented models (SAOMs) to empirical data of co-evolving networks of friendship and dislike among 479 secondary-school students. The SAOMs include a number of newly developed effects expressing the co-evolution between positive and negative ties. We then simulate networks from the estimated models to explore the micro-macro link. We find that a model that considers forces of attraction and repulsion simultaneously is better at explaining groups in social networks. In the long run, however, the empirically informed simulations generate networks that are too stylized to be realistic, raising further questions about model degeneracy and time heterogeneity of group processes. - Bullying and victimization among majority and minority students: The role of peers’ ethnic perceptionsItem type: Journal Article
Social NetworksKisfalusi, Dorottya; Pál, Judit; Boda, Zsófia (2020) - Visualization Methods for Longitudinal Social Networks and Stochastic Actor-Oriented ModelingItem type: Journal Article
Social NetworksBrandes, Ulrik; Indlekofer, Natalie; Mader, Martin (2012)As a consequence of the rising interest in longitudinal social networks and their analysis, there is also an increasing demand for tools to visualize them. We argue that similar adaptations of state-of-the-art graph-drawing methods can be used to visualize both, longitudinal networks and predictions of stochastic actor-oriented models (SAOMs), the most prominent approach for analyzing such networks. The proposed methods are illustrated on a longitudinal network of acquaintanceship among university freshmen. - Centrality in directed networksItem type: Journal Article
Social NetworksMarmulla, Gordana; Brandes, Ulrik (2026)The identification of important nodes in a network is a pervasive task in a variety of disciplines from sociology and bibliometry to geography and chemistry, and an ever growing number of centrality indices is proposed for this purpose. While such indices are often ad-hoc, preservation of the vicinal preorder has been identified as the core axiom shared by centrality rankings on undirected graphs. We extend this idea to directed graphs by defining vertex preorders based on directed neighborhood-inclusion criteria. While, for the undirected case, the vicinal preorder is total on threshold graphs and preserves all standard centrality indices, we show that our generalized preorders are total on certain subclasses of threshold digraphs. We thus provide a consistent formalization of the hitherto rather conceptual notions of radial, medial, and hierarchical centralities. Through the criteria different notions of centrality are distinguishable, as we exemplify with selected standard centrality indices. - The evolution of rolesItem type: Journal Article
Social NetworksMüller, Julian; Brandes, Ulrik (2022)We propose a novel formalization of roles in social networks that unifies the most commonly used definitions of role equivalence. As one consequence, we obtain a single, straightforward proof that role equivalences form lattices. Our formalization focuses on the evolution of roles from arbitrary initial conditions and thereby generalizes notions of relative and iterated roles that have been suggested previously. In addition to the unified structure result this provides a potential micro-foundation for the emergence of roles. Considering the genesis of roles may explain, and help overcome, the problem that social networks rarely exhibit interesting role equivalences of the traditional kind. Finally, we discuss extensions of the role concept to multivariate networks with actor and tie attributes by example. - The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network dataItem type: Journal Article
Social NetworksVörös, András; Boda, Zsófia; Elmer, Timon; et al. (2021)The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N1 = 226, N2 = 261, N3 = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition. - Network structure and team performanceItem type: Journal Article
Social NetworksGrund, Thomas U. (2012) - Analyzing Event Stream Dynamics in Two Mode Networks: An Exploratory Analysis of Private Communication in a Question and Answer CommunityItem type: Journal Article
Social NetworksStadtfeld, Christoph; Geyer-Schulz, Andreas (2011)
Publications 1 - 10 of 26