@article{MTMT:34615314,
	title = {Co-evolution of a socio-cognitive scientific network: A case study of citation dynamics among astronomers},
	url = {https://m2.mtmt.hu/api/publication/34615314},
	author = {Espinosa-Rada, Alejandro and Bellotti, Elisa and Everett, Martin G. and Stadtfeld, Christoph},
	doi = {10.1016/j.socnet.2023.11.008},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {78},
	unique-id = {34615314},
	issn = {0378-8733},
	abstract = {This paper aims to understand how a group of academics cite each others' work through time, considering the simultaneous co-evolution of three networks representing their scientific collaboration, the journals in which they publish and institutional membership. It argues that both social and cognitive processes contribute to these dynamics. Two types of network mechanisms are considered specifically: closures by affiliation and closures by association. To assess whether these mechanisms generate the macro features of the network under study, we propose new features for three-mode multilevel networks such as the mixed geodesic distances, mixed degree distributions, and the mixed quadrilateral census. We investigate whether a micro-level model that considers the above-mentioned network mechanisms is able to correctly reproduce these features. We apply stochastic actororiented models (SAOMs) for one-mode and two-mode networks to link the micro-macro processes using a dataset of a scientific community of astronomers from 2013 to 2015. The results suggest that social relationships grounded on scientific collaboration and proximity based on institutional affiliation are more accurately suited to understanding the co-evolution of the network of citations than an alternative approach that merely considers cognitive-based networks measured as the similarity in publishing in the same journals.},
	keywords = {Collaboration network; Network dynamics; Citation network; multiplex networks; SIENA; Scientific networks; Multilevel networks; Stochastic actor -oriented model},
	year = {2024},
	eissn = {1879-2111},
	pages = {92-108}
}

@article{MTMT:34403019,
	title = {Homophily and the evolution of cooperation in the Volunteer’s Dilemma: A computational study on dynamic graphs},
	url = {https://m2.mtmt.hu/api/publication/34403019},
	author = {Stark, Sandra and Peter, Daniel and Tutić, Andreas},
	doi = {10.1016/j.socnet.2023.11.003},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {78},
	unique-id = {34403019},
	issn = {0378-8733},
	year = {2024},
	eissn = {1879-2111},
	pages = {25-39},
	orcid-numbers = {Stark, Sandra/0000-0002-6835-1865; Peter, Daniel/0000-0002-7836-8679}
}

@article{MTMT:34387516,
	title = {Adolescent network positions and memory performance in adulthood: Evidence from sibling fixed effects models with sociometric network data},
	url = {https://m2.mtmt.hu/api/publication/34387516},
	author = {Kim, Jinho and Kim, Taehoon},
	doi = {10.1016/j.socnet.2023.08.002},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {76},
	unique-id = {34387516},
	issn = {0378-8733},
	abstract = {Although research has explored social factors influencing memory performance during adolescence, the impact of adolescent social network positions remains largely unknown. This study examines whether adolescent network position is associated with memory performance in adulthood, while also considering potential gender differences. The study used a sibling sample from the National Longitudinal Study of Adolescent to Adult Health (N = 2462) and employed sibling fixed effects models to account for unobserved family background factors, such as genetics, parental characteristics, family environment, and childhood neighborhood. Four dimensions of adolescent network position-i.e., popularity, sociality, degree centrality, and closeness centrality-were sociometrically assessed in schools. Memory performance in adulthood was measured using the Rey Auditory Verbal Learning Test. The sibling fixed effects estimates indicate that sociality, degree centrality, and closeness centrality are significantly associated with increased memory performance in adulthood, even after controlling for unobserved family heterogeneity as well as a set of individual-level covariates. In contrast, controlling for unobserved family heterogeneity attenuated the association for popularity, making it statistically insignificant. This study also provides evidence of gender differences in the association between social network position and memory performance. The associations for popularity, sociality, and degree centrality are more pronounced among men than women. This study's findings highlight the importance of adolescent network positions as social determinants in shaping cognitive outcomes over the life course. Interventions that encourage positive peer interactions and reduce social isolation during adolescence may help improve cognitive health in the population.},
	keywords = {Adolescent; gender; Social networks; MEMORY PERFORMANCE; Life course},
	year = {2024},
	eissn = {1879-2111},
	pages = {112-119},
	orcid-numbers = {Kim, Jinho/0000-0002-4675-4612}
}

@article{MTMT:34293630,
	title = {The evolution of k-shell in syndication networks reveals financial of venture institutions},
	url = {https://m2.mtmt.hu/api/publication/34293630},
	author = {Li, Ruiqi and Liang, Jing and Cheng, Cheng and Zhang, Xiaoyan and Zhao, Longfeng and Zhao, Chen and Stanley, H. Eugene},
	doi = {10.1016/j.socnet.2023.09.006},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {76},
	unique-id = {34293630},
	issn = {0378-8733},
	abstract = {Venture capital (VC) is a relatively newly emergent industry that is still subject to large uncertainties in China. Therefore, building a robust social network with other VC institutions is a good way to share information, various resources, and benefit from skill and knowledge complementarity to against risks. Strong evidences indicate that better networked VC institutions are of a better financial performance, however, most of previous works overlook the evolution of VC institutions and only focus on some simple topology indicators of the static syndication network, which also neglects higher-order network structure and cannot give a comprehensive evaluation. In this paper, based on VC investment records in the Chinese market, we construct temporal syndication networks between VC institutions year by year. As k-shell decomposition considers higher-order connection patterns, we employ k-shell as an evaluation of the influence of VC institutions in syndication networks. By clustering time series of k-shell values, the VC institutions in China fall into five groups that are quite different from each other on financial performances and investment behaviors. This, in turn, proves the power of our method that only based on proper sequential network properties, we can reveal their financial investment performance. Compared to other network centrality measurements, k-shell is a better indicator that is indicated by a smaller intra-group distance and a larger inter-group distance.},
	keywords = {CLASSIFICATION; EVOLUTION; k-shell decomposition; Syndication network; investment performance},
	year = {2024},
	eissn = {1879-2111},
	pages = {191-202}
}

@article{MTMT:34288637,
	title = {Similarity and differences in age, gender, ethnicity, and education as explanatory factors of tie loss in the core discussion network},
	url = {https://m2.mtmt.hu/api/publication/34288637},
	author = {Jeroense, Thijmen and Spierings, Niels and Tolsma, Jochem},
	doi = {10.1016/j.socnet.2023.09.003},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {76},
	unique-id = {34288637},
	issn = {0378-8733},
	abstract = {Individuals are more likely to interact with people who are similar in terms of socio-demographics and values than dissimilar people, which is often explained by a focus on selection effects. Yet, tie loss of dissimilar ties might also cause network homogeneity. Unfortunately, within the literature, there is a relative dearth of knowledge on the relationship between (dis)similarity and tie loss. Hence, we address this gap by theorizing and testing the relation between (dis)similarity and tie loss in the core discussion network (CDN) of Dutch citizens, also considering how ties are embedded in the CDN.},
	keywords = {Survival Analysis; SIMILARITY; homophily; Core Discussion Network; Tie Loss},
	year = {2024},
	eissn = {1879-2111},
	pages = {135-149},
	orcid-numbers = {Spierings, Niels/0000-0002-3116-3262}
}

@article{MTMT:34292097,
	title = {Insurgency as complex network: Image co-appearance and hierarchy in the PKK},
	url = {https://m2.mtmt.hu/api/publication/34292097},
	author = {Ballinger, Ollie},
	doi = {10.1016/j.socnet.2023.03.006},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {74},
	unique-id = {34292097},
	issn = {0378-8733},
	abstract = {Despite a growing recognition of the importance of insurgent group structure on conflict outcomes, there is very little empirical research thereon. Though this problem is rooted in the inaccessibility of data on militant group structure, insurgents frequently publish large volumes of image data on the internet. In this paper, I develop a new methodology that leverages this abundant but underutilized source of data by automating the creation of a social network graph based on co-appearance in photographs using deep learning. Using a trove of 20,645 obituary images published online by the PKK, a Kurdish militant group in Turkey, I demonstrate that an individual's centrality in the resulting co-appearance network is closely correlated with their rank in the insurgent group.},
	keywords = {Computer vision; hierarchy; Group structure; insurgency},
	year = {2023},
	eissn = {1879-2111},
	pages = {182-205},
	orcid-numbers = {Ballinger, Ollie/0000-0002-9092-2775}
}

@article{MTMT:34291516,
	title = {Diffusion in small worlds with homophily and social reinforcement: A theoretical model},
	url = {https://m2.mtmt.hu/api/publication/34291516},
	author = {Tur, Elena M. and Zeppini, Paolo and Frenken, Koen},
	doi = {10.1016/j.socnet.2023.05.004},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {76},
	unique-id = {34291516},
	issn = {0378-8733},
	abstract = {We introduce homophily in a percolation model of word-of-mouth diffusion in social networks by reorganizing the nodes according to similarity in preferences for adoption of an innovation. Such preferences are described by a "minimum utility requirement"for an agent to adopt. We show that homophily removes the non-linear relation between preferences and diffusion in the standard percolation model with a high diffusion regime ("hit") and a low diffusion regime ("flop"). Instead, in a model with perfect homophily, the final diffusion scales linearly with individual preferences: all agents who are willing to adopt, do adopt the innovation. We also investigate the combined effect of homophily and social reinforcement in diffusion. Results indicate that social reinforcement renders clustered networks more efficient in terms of diffusion size for network with strong homophily, while the opposite is true for networks without homophily. The simple structure of our model allows to disentangle the effect of social influence, homophily and the network structure on diffusion. However, the controllability of the theoretical structure comes at the expenses of the realism of the model. For this, we discuss possible extensions and empirical applications.},
	keywords = {DIFFUSION; PERCOLATION; WORD-OF-MOUTH; homophily; Small worlds; Social reinforcement},
	year = {2023},
	eissn = {1879-2111},
	pages = {12-21},
	orcid-numbers = {Zeppini, Paolo/0000-0002-1630-9462}
}

@article{MTMT:33943815,
	title = {Approaches to blockmodeling dynamic networks: A Monte Carlo simulation study},
	url = {https://m2.mtmt.hu/api/publication/33943815},
	author = {Cugmas, Marjan and Ziberna, Ales},
	doi = {10.1016/j.socnet.2022.12.003},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {73},
	unique-id = {33943815},
	issn = {0378-8733},
	abstract = {Blockmodeling refers to a variety of statistical methods for reducing and simplifying large and complex networks. While methods for blockmodeling networks observed at one time point are well established, it is only recently that researchers have proposed several methods for analysing dynamic networks (i.e., networks observed at multiple time points). The considered approaches are based on k-means or stochastic blockmodeling, with different ways being used to model time dependency among time points. Their novelty means they have yet to be extensively compared and evaluated and the paper therefore aims to compare and evaluate them using Monte Carlo simulations. Different network characteristics are considered, including whether tie formation is random or governed by local network mechanisms. The results show the Dynamic Stochastic Blockmodel (Matias and Miele 2017) performs best if the blockmodel does not change; otherwise, the Stochastic Blockmodel for Multipartite Networks (Bar-Hen et al. 2020) does.},
	keywords = {SIMULATIONS; evaluation; DYNAMIC NETWORKS; Stochastic blockmodeling; K -means blockmodeling; Local mechanisms},
	year = {2023},
	eissn = {1879-2111},
	pages = {7-19},
	orcid-numbers = {Cugmas, Marjan/0000-0002-1715-2460}
}

@article{MTMT:33902918,
	title = {Does "network closure"beef up firms' performance?},
	url = {https://m2.mtmt.hu/api/publication/33902918},
	author = {Muscillo, Alessio and Pin, Paolo and Razzolini, Tiziano and Serti, Francesco},
	doi = {10.1016/j.socnet.2023.01.004},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {73},
	unique-id = {33902918},
	issn = {0378-8733},
	abstract = {In this paper we study whether "network closure "in the supply chain can explain the heterogeneity observed in firms' performance. Using unique panel data on trade flows among beef farms in the Italian region of Piedmont, we analyze a sequential supply chain characterized by the co-existence of two production goods: domestic cattle, of lower quality but less risky, and imported cattle, of higher quality but exposed to higher risks. Our findings indicate that network closure, a characteristic commonly linked to the enhancement of trustworthy relations and mutual cooperation, is associated with an increase in the performance of farms adopting the riskier production system. On the other hand, network closure does not affect the performance of farms using the more traditional and mature technology. Thus, trust may promote the use of inputs of superior quality.},
	keywords = {network closure; Import premium; Sequential supply chain},
	year = {2023},
	eissn = {1879-2111},
	pages = {89-103},
	orcid-numbers = {Muscillo, Alessio/0000-0002-2648-4272; Pin, Paolo/0000-0001-9907-4947; Serti, Francesco/0000-0002-8057-5298}
}

@article{MTMT:33901446,
	title = {Weighting the transitivity of undirected weighted social networks with triadic edge dissimilarity scores},
	url = {https://m2.mtmt.hu/api/publication/33901446},
	author = {Peron, Guillaume},
	doi = {10.1016/j.socnet.2022.12.001},
	journal-iso = {SOC NETWORKS},
	journal = {SOCIAL NETWORKS},
	volume = {73},
	unique-id = {33901446},
	issn = {0378-8733},
	abstract = {When an individual is socially connected to two others, the resulting triplet can be closed (if the two social partners are themselves connected) or open (if they are not connected). The proportion of closed triplets, referred to as the binary network transitivity, is a classic measure of the level of interconnectedness of a social network. However, in any given triplet, if the closing link is weak, or indeed if any of the links in the triplet is weak, then the triplet should not contribute as much to network transitivity as if all three links were equally strong. I propose two ways to weight the contribution of each triplet according to the dissimilarity between the three links in the triplet. Empirically, the resulting new metrics conveyed information not picked up by any other network-level metric. I envision that this approach could prove useful in studies of triadic mechanisms, i.e., situations where pre-existing social ties influence the interactions with third parties. These metrics could also serve as repeatable synthetic variables that summarize information about the variability of the strength of social connections.},
	keywords = {Graph theory; VALENCE; Clustering coefficient; Indirect interactions; intransitivity; socio-spatial structure; Animal association network; Social style},
	year = {2023},
	eissn = {1879-2111},
	pages = {1-6}
}