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Signed directed attention network
Network embedding has facilitated lots of network analytical tasks by representing nodes as low-dimensional vectors. As an extension of convolutional...
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Social network analysis of Twitter interactions: a directed multilayer network approach
Effective employment of social media for any social influence outcome requires a detailed understanding of the target audience. Social media provides...
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MLDA: a multi-level k-degree anonymity scheme on directed social network graphs
With the emergence of network-centric data, social network graph publishing is conducive to data analysts to mine the value of social networks,...
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Fast generation of simple directed social network graphs with reciprocal edges and high clustering
Online social networks have emerged as useful tools to communicate or share information and news on a daily basis. One of the most popular networks...
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Multi-scale Directed Graph Convolution Neural Network for Node Classification Task
The existence of problems and objects in the real world which can be naturally modeled by complex graph structure has motivated researchers to...
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The Role of Directed Edges
Directed edges make community detection more difficult because a path of directed edges can cut across communities in unexpected ways. So far, we...
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Community deception in directed influence networks
Community deception is about protecting users of a community from being discovered by community detection algorithms. This paper studies community...
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Link prediction in directed complex networks: combining similarity-popularity and path patterns mining
Discovering new relationships between entities in networked data is essential in various applications such as sociology, security, physics, and...
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Generating directed networks with predetermined assortativity measures
Assortativity coefficients are important metrics to analyze both directed and undirected networks. In general, it is not guaranteed that the fitted...
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A secured trusted routing using the structure of a novel directed acyclic graph-blockchain in mobile ad hoc network internet of things environment
In the contemporary technology context, several physical things may be used to support human activities. The Internet of Things is a cutting-edge...
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FPPR: fast pessimistic (dynamic) PageRank to update PageRank in evolving directed graphs on network changes
The paper presents a new algorithm FPPR which updates PageRanks of a directed network after topological changes in the graphs. The algorithm is...
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A dynamic directed transfer function for brain functional network-based feature extraction
Directed transfer function (DTF) is good at characterizing the pairwise interactions from whole brain network and has been applied in discrimination...
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A multi-view clustering algorithm for attributed weighted multi-edge directed networks
Graph clustering acts as a critical topic for solving decision situations in networks. Different node clustering methods for undirected and directed...
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Accelerating directed densest subgraph queries with software and hardware approaches
Given a directed graph G , the directed densest subgraph (DDS) problem refers to finding a subgraph from G , whose density is the highest among all...
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Community deception: from undirected to directed networks
Community deception is about hiding a target community that wants to remain below the radar of community detection algorithms. The goal is to devise...
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Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis
A brain network, viewed as a graph wiring different regions of interest (ROIs) in the brain, has been widely used to investigate brain dysfunction...
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A two-stage model for change point detection in large-scale weighted directed social networks using a MEWMA chart
Due to political, cultural, and social reasons, monitoring social network has increasingly attracted the attention of both practitioners and...
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Iterative approximate Byzantine consensus in arbitrary directed graphs
This paper identifies necessary and sufficient conditions for the existence of iterative algorithms that achieve approximate Byzantine consensus in...
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DeDA: Deep Directed Accumulator
Chronic active multiple sclerosis lesions, also referred to as rim+ lesions, are characterized by a hyperintense rim observed at the lesion’s edge on...
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Chained structure of directed graphs with applications to social and transportation networks
The need to determine the structure of a graph arises in many applications. This paper studies directed graphs and defines the notions of
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