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Applied Network Science
Scopus
ISSN 2364-8228 · SpringerOpen · 778 artikel di indeks
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Artikel Jurnal
An agent-based model of citation behavior
Abstract Whether citations objectively and reliably reflect the quality of articles and researchers is questionable. Even so, citation counts are widely used to estimate the productivity of researchers and institutions, which creates a ‘grubby’ motivation to be well-cited. We examine this…
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Generalization of single-linkage with higher-order interactions
Abstract This article analyzes and generalizes the classical Single-Linkage clustering algorithm, which performs hierarchical clustering by iteratively merging the two closest clusters. Single-Linkage and its robust version are still widely used in modern clustering techniques like the…
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Artikel Jurnal
Inflow and outflow centrality: novel centrality metrics inspired by graph convolution
Abstract Centrality metrics quantify a node’s importance within a network based on a node’s connectivity, path position, proximity to other nodes, or influence from neighbors. All of these properties are influenced by the network structure and do not consider a node’s features. To overcome this…
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Individual dynamics in dynamic groups
Abstract Groups are inherently dynamic social entities whose function, adaptation, and outcomes are fundamentally driven by continuous changes in individual membership and affiliation patterns. Existing analytical frameworks often treat the group as the primary unit of analysis, overlooking the…
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Artikel Jurnal
Network reliability analysis by means of generalized matrix learning vector quantization
Abstract We present a novel approach for assessing the reliability of error-prone systems and networks using an interpretable prototype-based classification framework. Specifically, reliability levels of consecutive k-out-of-n success systems, failure networks, and domination networks are…
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Hypers2v: a framework for structural representation of nodes in hypergraphs
Abstract Hypergraphs, unlike simple networks, can represent complex relationships among nodes, making them valuable for real-world applications such as social interactions. Learning embedded representations of nodes translates network structures into simplified spaces, enabling machine learning…
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Reconstruction of graph signals from traffic data on directed road networks using kernel methods
Abstract The completeness of traffic data sets is endangered by distinct reasons, such as implementation costs or privacy concerns. Modelling an urban network as a road graph (i.e., with roads as nodes, and edges representing intersections) allows the use of graph signal recovery methods (e.g…
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Artikel Jurnal
Enhancing financial crisis prediction: integrating change point detection for exogenous event identification
Abstract This paper explores the integration of change point detection (CPD) techniques to improve the adaptability of financial contagion models to major market events. Exogenous shocks, such as geopolitical tensions and natural disasters, can lead to substantial changes in stock prices and market…
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Artikel Jurnal
The selection of critical set for network attack targets: from the perspective of attacker
Abstract With the development of networks, topics related to network security are receiving increasing attention from scholars. Graph-based parameters are defined to measure the vulnerability of a network from a topological perspective, and the calculation of these parameters often requires finding…
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FA-SNet: social network construction to represent social relationships based on facial analysis
Abstract Social networks have become one of the main structures for representing people’s relationships, so building a structure that accurately describes relationships is an essential issue for the scientific community focused on analyzing relationships. Currently, the construction of social…
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ERC-1155 under the lens: a graph-based analysis of the Ethereum multi-token standard
Abstract The ERC-1155 standard introduced on the Ethereum blockchain allows for managing multiple tokens, both fungible and non-fungible, within a single contract. It also supports batch transfers, thereby reducing transaction costs and enabling a more efficient use of blockchain resources. To…
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Who is the root in a syntactic dependency structure?
Abstract The syntactic structure of a sentence can be described as a tree that indicates the syntactic relationships between words. In spite of significant progress in unsupervised methods that retrieve the syntactic structure of sentences, guessing the right direction of edges is still a…
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Artikel Jurnal
The impact of dimensionality on the stability of node embeddings
Abstract Previous work has shown that node embedding methods can produce different representations and downstream predictions across repeated training runs, even when trained on the same data with identical hyperparameters. However, the role of embedding dimensionality in this instability remains…
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Latent space approaches to aggregated network data
Abstract Large-scale network data can pose computational challenges, be expensive to acquire, and compromise the privacy of individuals in social networks. We show that the locations and scales of latent space cluster models can be inferred from aggregate network data alone, i.e., the number of…
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Artikel Jurnal
Multidimensional coalition structures in the 9th European Parliament: a co-voting network backbone approach
Abstract Research on voting behavior in the European Parliament (EP) has long shown that legislative alignments are structured by multiple ideological dimensions whose salience varies across policy areas and political contexts. Building on this literature, this study maps coalition structures in…
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Graphlet-based self-supervised model for topological network alignment
Abstract Network alignment seeks to identify corresponding nodes across graphs, a task that is challenging when structural signals are weak or noisy. Existing optimization-based methods offer strong accuracy but do not scale well, while embedding-based methods are efficient yet often less precise…
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Design of an improved validation model for semantic interoperability in IoT using MOVFRGD ECDTSA and CCEAICM process
Abstract Despite numerous initiatives aimed at enhancing the Semantic Web and IoT interoperability, semantic interoperability continues to be a primary barrier in large-scale IoT deployments; as disparate devices, data formats, and contextual representations must exchange meaningful information…
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The extended community of diet culture around eating disorders: a network analysis of reddit forums
Abstract Dieting is a known risk factor for eating disorders (ED), but how diet culture intersects with ED in online communities is not well understood. ED forums reveal lived psychological and behavioral experiences, while broader dieting culture—shaped by restrictive norms and body…
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Artikel Jurnal
Discovering centrality clusters in social and interaction networks using AI-driven association analysis
Abstract The social network is an interconnected online web of people spanning across the digital space for sharing information, reflecting opinions, and building societal trends. This necessitates quantification of relative prominence of an individual in the online community. The significance of a…
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Artikel Jurnal
Estimation of transaction values in firm-level supply networks using a hybrid GNN-LightGBM approach
Abstract Accurate estimation of confidential annual transaction values between firms is critical for analyzing supply chain vulnerabilities and simulating economic shock propagation, yet it is severely hampered by data scarcity. This study addresses this challenge by developing a pragmatic and…