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164,123 Results Found

  • Editorial
  • Open Access
2,360 Views
3 Pages

Acknowledgment to Reviewers of Journal of Sensor and Actuator Networks in 2020

  • Journal of Sensor and Actuator Networks Editorial Office

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Journal of Sensor and Actuator Networks maintains its standards for the high quality of its published papers [...]

  • Article
  • Open Access
3 Citations
2,846 Views
21 Pages

Reliable Design for a Network of Networks with Inspiration from Brain Functional Networks

  • Masaya Murakami,
  • Daichi Kominami,
  • Kenji Leibnitz and
  • Masayuki Murata

11 September 2019

In realizing the network environment assumed by the Internet-of-Things, network slicing has drawn considerable attention as a way to enhance the utilization of physical networks (PNs). Meanwhile, slicing has been shown to cause interdependence among...

  • Article
  • Open Access
2 Citations
1,799 Views
23 Pages

28 May 2025

In the field of firms’ technological innovation, a large body of research has emphasized the roles of interlocking directors and the associated board networks in which they are embedded. By integrating the process perspective of absorptive capa...

  • Article
  • Open Access
9 Citations
4,572 Views
11 Pages

9 December 2017

Despite recent progress in the study of complex systems, reconstruction of damaged networks due to random and targeted attack has not been addressed before. In this paper, we formulate the network reconstruction problem as an identification of networ...

  • Article
  • Open Access
2 Citations
3,150 Views
18 Pages

Reconstructing Sparse Multiplex Networks with Application to Covert Networks

  • Jin-Zhu Yu,
  • Mincheng Wu,
  • Gisela Bichler,
  • Felipe Aros-Vera and
  • Jianxi Gao

10 January 2023

Network structure provides critical information for understanding the dynamic behavior of complex systems. However, the complete structure of real-world networks is often unavailable, thus it is crucially important to develop approaches to infer a mo...

  • Review
  • Open Access
7 Citations
3,133 Views
18 Pages

Analysis of Security Issues in Wireless Body Area Networks in Heterogeneous Networks

  • Somasundaram Muthuvel,
  • Sivakumar Rajagopal and
  • Shamala K. Subramaniam

6 October 2022

Body Area Network (BAN) is one of the most important techniques for observing patient health in real time and identifying and analyzing diseases. For effective implementation of this technology in practice and to benefit from it, there are some key i...

  • Article
  • Open Access
16 Citations
3,866 Views
14 Pages

Explanations for Neural Networks by Neural Networks

  • Sascha Marton,
  • Stefan Lüdtke and
  • Christian Bartelt

18 January 2022

Understanding the function learned by a neural network is crucial in many domains, e.g., to detect a model’s adaption to concept drift in online learning. Existing global surrogate model approaches generate explanations by maximizing the fideli...

  • Article
  • Open Access
8 Citations
6,240 Views
21 Pages

Biological Networks Entropies: Examples in Neural Memory Networks, Genetic Regulation Networks and Social Epidemic Networks

  • Jacques Demongeot,
  • Mariem Jelassi,
  • Hana Hazgui,
  • Slimane Ben Miled,
  • Narjes Bellamine Ben Saoud and
  • Carla Taramasco

13 January 2018

Networks used in biological applications at different scales (molecule, cell and population) are of different types: neuronal, genetic, and social, but they share the same dynamical concepts, in their continuous differential versions (e.g., non-linea...

  • Article
  • Open Access
575 Citations
17,125 Views
16 Pages

26 June 2017

Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous s...

  • Article
  • Open Access
31 Citations
9,302 Views
34 Pages

Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks

  • Mahyar Nemati,
  • Bassel Al Homssi,
  • Sivaram Krishnan,
  • Jihong Park,
  • Seng W. Loke and
  • Jinho Choi

31 October 2022

Non-terrestrial networks (NTNs) have recently attracted elevated levels of interest in large-scale and ever-growing wireless communication networks through the utilization of flying objects, e.g., satellites and unmanned aerial vehicles/drones (UAVs)...

  • Article
  • Open Access
14 Citations
4,239 Views
15 Pages

Graph Convolutional Networks for Privacy Metrics in Online Social Networks

  • Xuefeng Li,
  • Yang Xin,
  • Chensu Zhao,
  • Yixian Yang and
  • Yuling Chen

15 February 2020

In recent years, privacy leakage events in large-scale social networks have become increasingly frequent. Traditional methods relying on operators have been unable to effectively curb this problem. Researchers must turn their attention to the privacy...

  • Article
  • Open Access
1 Citations
1,199 Views
18 Pages

In the digital era, technological catch-up is inevitable for firms confronted with intensified competition, rapid technological advancements, and customers’ upgrade requirements. By strengthening their cooperation with external parties and inte...

  • Article
  • Open Access
15 Citations
477,479 Views
19 Pages

Graph Convolutional Networks: Application to Database Completion of Wastewater Networks

  • Yassine Belghaddar,
  • Nanee Chahinian,
  • Abderrahmane Seriai,
  • Ahlame Begdouri,
  • Reda Abdou and
  • Carole Delenne

17 June 2021

Wastewater networks are mandatory for urbanisation. Their management, including the prediction and planning of repairs and expansion operations, requires precise information on their underground components (manhole covers, equipment, nodes, and pipes...

  • Article
  • Open Access
15 Citations
4,473 Views
18 Pages

Family Networks, Social Networks, and Life Satisfaction of Older Adults in China

  • Weisong Cheng,
  • Wenhao Song,
  • Chunhui Ye and
  • Zhonghan Wang

18 August 2022

Older adults’ family networks and social networks are important factors that influence life satisfaction, but their transmission mechanisms have not been adequately discussed. The objective of this study was to examine the mechanisms through wh...

  • Article
  • Open Access
18 Citations
8,976 Views
28 Pages

7 June 2012

The networking infrastructure of wireless mesh networks (WMNs) is decentralized and relatively simple, but they can display reliable functioning performance while having good redundancy. WMNs provide Internet access for fixed and mobile wireless devi...

  • Article
  • Open Access
9 Citations
4,849 Views
24 Pages

Drawing Inspiration from Human Brain Networks: Construction of Interconnected Virtual Networks

  • Masaya Murakami,
  • Daichi Kominami,
  • Kenji Leibnitz and
  • Masayuki Murata

8 April 2018

Virtualization of wireless sensor networks (WSN) is widely considered as a foundational block of edge/fog computing, which is a key technology that can help realize next-generation Internet of things (IoT) networks. In such scenarios, multiple IoT de...

  • Article
  • Open Access
6 Citations
4,489 Views
34 Pages

26 January 2024

We adopt a multilayer networks approach to assess how network structural embeddedness affects corporate technological innovation. Our findings indicate an annual increase in both single-layer and multilayer networks, although adoption of the latter b...

  • Article
  • Open Access
10 Citations
2,671 Views
16 Pages

Using Convolutional Neural Networks for Blocking Prediction in Elastic Optical Networks

  • Farzaneh Nourmohammadi,
  • Chetan Parmar,
  • Elmar Wings and
  • Jaume Comellas

28 February 2024

This paper presents a study on connection-blocking prediction in Elastic Optical Networks (EONs) using Convolutional Neural Networks (CNNs). In EONs, connections are established and torn down dynamically to fulfill the instantaneous requirements of t...

  • Article
  • Open Access
13 Citations
4,250 Views
16 Pages

27 July 2021

The effectiveness of a machine learning model is impacted by the data representation used. Consequently, it is crucial to investigate robust representations for efficient machine learning methods. In this paper, we explore the link between data repre...

  • Article
  • Open Access
4 Citations
3,589 Views
15 Pages

A Privacy-Preserving Routing Protocol Using Mix Networks in Opportunistic Networks

  • Depeng Chen,
  • Carlos Borrego and
  • Guillermo Navarro-Arribas

22 October 2020

This paper focuses on the problem of providing anonymous communications in opportunistic networks. To that end, we propose an approach using Mix networks that enables a relatively simple solution. Opportunistic networks present some constraints that...

  • Review
  • Open Access
75 Citations
32,376 Views
36 Pages

An Overview of Emergency Communication Networks

  • Qian Wang,
  • Wenfeng Li,
  • Zheqi Yu,
  • Qammer Abbasi,
  • Muhammad Imran,
  • Shuja Ansari,
  • Yusuf Sambo,
  • Liwen Wu,
  • Qiang Li and
  • Tong Zhu

15 March 2023

In recent years, major natural disasters and public safety accidents have frequently occurred worldwide. In order to deal with various disasters and accidents using rapidly deployable, reliable, efficient, and stable emergency communication networks,...

  • Article
  • Open Access
4 Citations
2,275 Views
23 Pages

Low-Capacity Exploitation of Distribution Networks and Its Effect on the Planning of Distribution Networks

  • Jorge A. Alarcon,
  • Francisco Santamaria,
  • Ameena S. Al-Sumaiti and
  • Sergio Rivera

14 April 2020

The continuous variation and dispersion of the load demand during a 24-h day are uncontrolled aspects that affect the efficiency, operational conditions, and total cost of the power distribution network. The cost of the network is strongly related to...

  • Article
  • Open Access
5 Citations
3,111 Views
11 Pages

Fragility Induced by Interdependency of Complex Networks and Their Higher-Order Networks

  • Chengjun Zhang,
  • Yi Lei,
  • Xinyu Shen,
  • Qi Li,
  • Hui Yao,
  • Di Cheng,
  • Yifan Xie and
  • Wenbin Yu

23 December 2022

The higher-order structure of networks is a hot research topic in complex networks. It has received much attention because it is closely related to the functionality of networks, such as network transportation and propagation. For instance, recent st...

  • Proceeding Paper
  • Open Access
1 Citations
1,896 Views
3 Pages

The Role of Software-Defined Networking in Cellular Networks

  • Pablo Fondo-Ferreiro and
  • Felipe Gil-Castiñeira

In this paper, we discuss how SDN can contribute to enhance future cellular networks. We first present SDN and describe its characteristics. Then, we explore how SDN can be used to improve current cellular networks, analyzing the advantages and disad...

  • Article
  • Open Access
26 Citations
8,779 Views
12 Pages

21 May 2019

As an important support for quantum communication, quantum key distribution (QKD) networks have achieved a relatively mature level of development, and they face higher requirements for multi-user end-to-end networking capabilities. Thus, QKD networks...

  • Article
  • Open Access
12 Citations
3,117 Views
17 Pages

Exploiting User Friendship Networks for User Identification across Social Networks

  • Yating Qu,
  • Ling Xing,
  • Huahong Ma,
  • Honghai Wu,
  • Kun Zhang and
  • Kaikai Deng

8 January 2022

Identifying offline entities corresponding to multiple virtual accounts of users across social networks is crucial for the development of related fields, such as user recommendation system, network security, and user behavior pattern analysis. The da...

  • Article
  • Open Access
7 Citations
4,509 Views
17 Pages

12 July 2024

The rapid expansion of large urban areas underscores the critical importance of road infrastructure. An accurate understanding of traffic flow on road networks is essential for enhancing civil services and reducing fuel consumption. However, traffic...

  • Article
  • Open Access
10 Citations
14,952 Views
22 Pages

Sensor Networks in the Low Lands

  • Nirvana Meratnia,
  • Berend Jan Van der Zwaag,
  • Hylke W. Van Dijk,
  • Dennis J.A. Bijwaard and
  • Paul J.M. Havinga

10 September 2010

This paper provides an overview of scientific and industrial developments of the last decade in the area of sensor networks in The Netherlands (Low Lands). The goal is to highlight areas in which the Netherlands has made most contributions and is cur...

  • Article
  • Open Access
1 Citations
1,845 Views
14 Pages

Benford Networks

  • Roeland de Kok and
  • Giulia Rotundo

30 September 2022

The Benford law applied within complex networks is an interesting area of research. This paper proposes a new algorithm for the generation of a Benford network based on priority rank, and further specifies the formal definition. The condition to be t...

  • Article
  • Open Access
2 Citations
1,215 Views
11 Pages

24 November 2024

A possible solution to address the enormous increase in traffic demands faced by network operators is to rely on multi-fiber optical backbone networks. These networks use multiple optical fibers between adjacent nodes, and, when properly designed, th...

  • Feature Paper
  • Review
  • Open Access
12 Citations
6,956 Views
32 Pages

Network Management and Monitoring Solutions for Vehicular Networks: A Survey

  • João A. F. F. Dias,
  • Joel J. P. C. Rodrigues,
  • Vasco N. G. J. Soares,
  • João M. L. P. Caldeira,
  • Valery Korotaev and
  • Mario L. Proença

Vehicular networks are emerging as a promising technology that enables reliable and low-cost solutions for intelligent transport systems (ITSs), mainly due to their enormous potential to be considered for multiple purposes and scenarios. These networ...

  • Article
  • Open Access
11 Citations
5,225 Views
27 Pages

Emergence of Network Motifs in Deep Neural Networks

  • Matteo Zambra,
  • Amos Maritan and
  • Alberto Testolin

11 February 2020

Network science can offer fundamental insights into the structural and functional properties of complex systems. For example, it is widely known that neuronal circuits tend to organize into basic functional topological modules, called network motifs....

  • Article
  • Open Access
59 Citations
11,536 Views
25 Pages

Slicing the Core Network and Radio Access Network Domains through Intent-Based Networking for 5G Networks

  • Khizar Abbas,
  • Muhammad Afaq,
  • Talha Ahmed Khan,
  • Adeel Rafiq and
  • Wang-Cheol Song

18 October 2020

The fifth-generation mobile network presents a wide range of services which have different requirements in terms of performance, bandwidth, reliability, and latency. The legacy networks are not capable to handle these diverse services with the same p...

  • Article
  • Open Access
6 Citations
4,259 Views
16 Pages

22 December 2022

Advances in the future communication technologies and capabilities of new services in heterogeneous network systems have increased the need for modelling and analysing various aspects of both the resilience of networked systems and usability from the...

  • Feature Paper
  • Review
  • Open Access
14 Citations
6,420 Views
37 Pages

Percolation Theories for Quantum Networks

  • Xiangyi Meng,
  • Xinqi Hu,
  • Yu Tian,
  • Gaogao Dong,
  • Renaud Lambiotte,
  • Jianxi Gao and
  • Shlomo Havlin

20 November 2023

Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-scale features from the viewpoint of statistical physics. This review p...

  • Review
  • Open Access
113 Citations
13,370 Views
24 Pages

Recent Progress on the Resilience of Complex Networks

  • Jianxi Gao,
  • Xueming Liu,
  • Daqing Li and
  • Shlomo Havlin

27 October 2015

Many complex systems in the real world can be modeled as complex networks, which has captured in recent years enormous attention from researchers of diverse fields ranging from natural sciences to engineering. The extinction of species in ecosystems...

  • Article
  • Open Access
14 Citations
4,318 Views
15 Pages

Suffering from the multi-view data diversity and complexity, most of the existing graph convolutional networks focus on the networks’ architecture construction or the salient graph structure preservation for node classification in citation netw...

  • Article
  • Open Access
10 Citations
3,675 Views
16 Pages

With the increasing availability of computational power, contemporary machine learning has undergone a paradigm shift, placing a heightened emphasis on deep learning methodologies. The pervasive automation of various processes necessitates a critical...

  • Article
  • Open Access
2 Citations
1,998 Views
10 Pages

11 August 2021

In this paper, we propose direct simulations between a given network of evolutionary processors with an arbitrary topology of the underlying graph and a network of evolutionary processors with underlying graphs—that is, a complete graph, a star graph...

  • Article
  • Open Access
33 Citations
5,859 Views
15 Pages

11 November 2021

The great commitment in different areas of computer science for the study of computer networks used to fulfill specific and major business tasks has generated a need for their maintenance and optimal operability. Distributed denial of service (DDoS)...

  • Article
  • Open Access
29 Citations
8,338 Views
19 Pages

Identifying Influencers in Social Networks

  • Xinyu Huang,
  • Dongming Chen,
  • Dongqi Wang and
  • Tao Ren

15 April 2020

Social network analysis is a multidisciplinary research covering informatics, mathematics, sociology, management, psychology, etc. In the last decade, the development of online social media has provided individuals with a fascinating platform of shar...

  • Article
  • Open Access
8 Citations
2,979 Views
9 Pages

Characterization of Symmetry of Complex Networks

  • Yangyang Chen,
  • Yi Zhao and
  • Xinyu Han

20 May 2019

Recently, symmetry in complex network structures has attracted some research interest. One of the fascinating problems is to give measures of the extent to which the network is symmetric. In this paper, based on the natural action of the automorphism...

  • Entry
  • Open Access
283 Views
11 Pages

Network Centrality and Information Cascades in Executive and Director Networks

  • Lingting Jiang,
  • Janean Rundo,
  • Linna Shi and
  • Nan Zhou

Information cascades refer to a type of learning behavior in social networks where individuals make decisions by observing the actions of others, rather than relying solely on their own private information. Network centrality, which measures the rela...

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