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Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro and María N. Moreno-García
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for...
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Michael Moscarelli, Gary Wingenbach and Robert Strong
Homophily is the tendency of individuals to be attracted to and associate with people who share similar sociodemographic, behavioral, and intrapersonal characteristics. Homophily plays a significant role when introducing innovations to create behavioral ...
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Rui Zhang and Xin Li
Graph convolutional networks (GCNs) have been successfully applied to learning tasks on graph-structured data. However, most traditional GCNs based on graph convolutions assume homophily in graphs, which leads to a poor performance when dealing with hete...
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Betty Purwandari, Arief Ramadhan, Kongkiti Phusavat, Achmad Nizar Hidayanto, Adyssa Fairuz Husniyyah, Ferdinand Hanif Faozi, Nicolas Henry Wijaya and Rifqi Hilman Saputra
Social media has become a very commonplace way for many people to have social interactions. The role of social media has changed from what was originally only a way to bridge social interactions, to becoming a business tool in various industries, one of ...
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Diego Sánchez-Moreno, Vivian López Batista, M. Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro and María N. Moreno-García
Recent research in the field of recommender systems focuses on the incorporation of social information into collaborative filtering methods to improve the reliability of recommendations. Social networks enclose valuable data regarding user behavior and c...
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Chidubem Iddianozie and Gavin McArdle
Graph Neural Networks (GNNs) have received wide acclaim in recent times due to their performance on inference tasks for unstructured data. Typically, GNNs operate by exploiting local structural information in graphs and disregarding their global structur...
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Konstantinos Georgiou, Christos Makris and Georgios Pispirigos
Nowadays, the amount of digitally available information has tremendously grown, with real-world data graphs outreaching the millions or even billions of vertices. Hence, community detection, where groups of vertices are formed according to a well-defined...
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Cameron E. Taylor, Alexander V. Mantzaris and Ivan Garibay
Polarization in online social networks has gathered a significant amount of attention in the research community and in the public sphere due to stark disagreements with millions of participants on topics surrounding politics, climate, the economy and oth...
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Jae Hyun Lee, Konstadinos G. Goulias
Pág. 420 - 439
Using data of attitudes in the Puget Sound region we first identify predispositions in favor of car use (car loving persons and households) and distinguish them from other predispositions favoring other modes (transit and carsharing lovers). Then we expl...
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ODESSA MAY D. ESCALONA,ANNA PATRICIA T. CANONO,DIANA ROSE A. DEMIAR,MIKO NECO B. OMONDANG
Pág. 405 - 431
The study of identification within the organizational setting has highlighted various factors that may contribute significant changes, either positively or negatively, to the commitment and perception of fairness of employees. As workers, their jobs and ...
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