|
|
|
|
|
Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis and Carol Anne Hargreaves
Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades. The study of social networks has taken advantage of recent adva...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lekshmi S. Nair, Swaminathan Jayaraman and Sai Pavan Krishna Nagam
Link prediction finds the future or the missing links in a social?biological complex network such as a friendship network, citation network, or protein network. Current methods to link prediction follow the network properties, such as the node?s centrali...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Ti, Ruyu Dai, Fangyi Wan, Tao Xiong, Hao Wu and Zhilin Li
Pedestrians? route choice is critical for several purposes, while deliberately changing map representations can influence map users? route choice. Simplifying routes? geometric shapes is one way to achieve this. However, the other geometric characteristi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bishal Lamichhane, Aniket Kumar Singh, Suman Devkota, Uttam Dhakal, Subham Singh and Chandra Dhakal
This study analyzes a network of musical influence using machine learning and network analysis techniques. A directed network model is used to represent the influence relations between artists as nodes and edges. Network properties and centrality measure...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shishuo Xu, Jinbo Liu, Songnian Li, Su Yang and Fangning Li
Over the last decade, event prediction has drawn attention from both academic and industry communities, resulting in a substantial volume of scientific papers published in a wide range of journals by scholars from different countries and disciplines. How...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tingting Chen, Yan Li, Xiongfei Jiang and Lingjie Shao
The methods of complex networks have been extensively used to characterize information flow in complex systems, such as risk propagation in complex financial networks. However, network dynamics are ignored in most cases despite systems with similar topol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nariman Adel Hussein, Hoda M. O. Mokhtar and Mohamed E. El-Sharkawi
Community search is a basic problem in graph analysis. In many applications, network nodes have certain properties that are important for the community to make sense of the application; hence, attributes are associated with nodes to capture their propert...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eugenio Muscinelli, Swapnil Sadashiv Shinde and Daniele Tarchi
The main goal of this paper is to survey the influential research of distributed learning technologies playing a key role in the 6G world. Upcoming 6G technology is expected to create an intelligent, highly scalable, dynamic, and programable wireless com...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xu Li and Qiming Sun
Identifying and ranking the node influence in complex networks is an important issue. It helps to understand the dynamics of spreading process for designing efficient strategies to hinder or accelerate information spreading. The idea of decomposing netwo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuexuan Zhao and Jing Huang
Graph variational auto-encoder (GVAE) is a model that combines neural networks and Bayes methods, capable of deeper exploring the influential latent features of graph reconstruction. However, several pieces of research based on GVAE employ a plain prior ...
ver más
|
|
|
|
|
|