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Multi-layer Network Local Community Detection Based on Influence Relation
2019
IEEE Access
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In this paper, based on the homogeneity drive of multi-layer network and the influence relation index of multi-layer path length measurement, a local community detection model based on the influence relation ...
INDEX TERMS Influence, local community detection, multi-layer network, sensor networks. ...
MULTI-LAYER NETWORK LOCAL COMMUNITY DETECTION IS BASED ON INFLUENCE EXPANSION In conclusion, based on the direct influence and indirect influence measurement, in this paper proposes a multi-layer network ...
doi:10.1109/access.2019.2921571
fatcat:hnfgoqoz7jbnxb7t3dase6wslu
Big networks: A survey
2020
Computer Science Review
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2020 pre-print arXiv:2008.03638v1 fatcat:lv3n2qreurek3ntpdfcmuypzsq
Some typical applications in big networks are then reviewed, such as community detection, link prediction, recommendation, etc. ...
Big network models and related approaches, including ranking methods, partition approaches, as well as network embedding algorithms are systematically introduced. ...
Random-walk-based Community Detection Methods Among all community detection approaches, random-walk based methods inclined to discover network communities more or less accurate with the groundtruth ones ...
doi:10.1016/j.cosrev.2020.100247
fatcat:pmuxvvbprnc4jcy3gqmrjyf4tq
Industrial Scale Privacy Preserving Deep Neural Network
[article]
2020
arXiv
pre-print
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We conduct experiments on real-world fraud detection dataset and financial distress prediction dataset, the encouraging results demonstrate the practicalness of our proposal. ...
Deep Neural Network (DNN) has been showing great potential in kinds of real-world applications such as fraud detection and distress prediction. ...
Influence on privacy preserving ability. ...
arXiv:2003.05198v2
fatcat:4ln2xgassvgofpc77iad5ik75q
Co-Association Matrix-Based Multi-Layer Fusion for Community Detection in Attributed Networks
2019
Entropy
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Then, we propose a weighted co-association matrix-based fusion algorithm (WCMFA) to detect the inherent community structure in attributed networks by using multi-layer fusion strategies. ...
Community detection is a challenging task in attributed networks, due to the data inconsistency between network topological structure and node attributes. ...
Related work of community detection on attributed networks. ...
doi:10.3390/e21010095
pmid:33266811
fatcat:rvd6kg4o35gutjhcumqvejl6me
Uncovering Hidden Community Structure in Multi-Layer Networks
2021
Applied Sciences
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Community detection, also known as graph clustering, in multi-layer networks has been extensively studied in the literature. ...
Results of the hidden community detection (HCD) method showed the great variation in the number of communities detected in multiple layers when compared with the results of other community detection methods ...
Multi-Layer Graphs As the proposed work is related to the hidden community detection in multi-layer networks, a multi-layer network is a kind of network that consists of multiple graphs sharing the same ...
doi:10.3390/app11062857
fatcat:mgfbj3tmvreh3mmpsx5uo2w3km
A Comprehensive Survey on Community Detection with Deep Learning
[article]
2021
arXiv
pre-print
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A community reveals the features and connections of its members that are different from those in other communities in a network. Detecting communities is of great significance in network analysis. ...
We then discuss the practical applications of community detection in various domains and point to implementation scenarios. ...
A straightforward process is fusing information of multi-layer networks into one layer, followed by monolayer community detection methods. ...
arXiv:2105.12584v2
fatcat:matipshxnzcdloygrcrwx2sxr4
Data Aggregation Scheme for a Multi-Application WSN
[chapter]
2009
Lecture Notes in Computer Science
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Therefore, we propose a data aggregation scheme based on a multi-agent system to aggregate the WSN information in an energyefficient manner even if we are deploying several applications over this network ...
One of the remaining problems, in this domain, resides in the data aggregation solutions, which are proposed generally for one application and may drain the WSN power in a multi-application context. ...
This solution (MADA) is based on a multi-agent system to reduce the amount of communicated information by processing and filtering the information locally. ...
doi:10.1007/978-3-642-04994-1_16
fatcat:zlszzykhwveqzdszybq5pglt3q
Fusion and community detection in multi-layer graphs
2016
2016 23rd International Conference on Pattern Recognition (ICPR)
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Community detection in networks has become one of the most important problems having a broad range of applications. ...
However, with the emergence of multi-view network data in many realworld applications and consequently with the advent of multilayer graph representation, community detection in multi-layer graphs has ...
Traditional single-network graph algorithms fail to properly address the community detection problem on multi-layer networks. ...
doi:10.1109/icpr.2016.7899821
dblp:conf/icpr/GligorijevicPZ16
fatcat:xzdqajwspvdjzi6wjfknttlpii
Multi-scale brain networks
[article]
2016
arXiv
pre-print
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We separate our exposition into content related to multi-scale topological structure, multi-scale temporal structure, and multi-scale spatial structure. ...
The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over ...
ACKNOWLEDGEMENTS We thank Arian Ashourvan and Lia Papadopoulos for helpful feedback on an earlier verson of this manuscript. ...
arXiv:1608.08828v2
fatcat:wuyicmllbzdhhchnzrrlaltiq4
The Design and Implement of Acoustic Array Sensor Network Platform for Online Multi-target Tracking
2012
2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems
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We present the design, implement and evaluation of a sensing platform for on-line multi-target tracking based on acoustic array networks, named Integrated Acoustic Array Sensor Network Tracker (IAASNT) ...
Among these, IAASNT's multi-level lowpower management and integrated tracking frame set it different from other related platforms. ...
A robot-based acoustic detection system was developed to detect and localize on impulsive noise events [8] . ...
doi:10.1109/dcoss.2012.45
dblp:conf/dcoss/LiWZSCBF12
fatcat:gjzeilfbtvds5dea6kbcaptwcu
Understanding Complementary Multi-layer Collaborative Heuristics for Adaptive Caching in Heterogeneous Mobile Opportunistic Networks
2018
2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)
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Keywords-Opportunistic mobile networks, content discovery and retrieval, content caching, multi-layer heuristics and utilities. ...
In this paper, we investigate the influences of multi-dimensional heuristics utilised by our adaptive collaborative caching framework CafRepCache on the performance of content dissemination and query in ...
CONCLUSION This paper focuses on understanding the influences of fully localised and ego networks multi-layer predictive heuristics on the performance of collaborative adaptive caching in real world dynamically ...
doi:10.1109/iwcmc.2018.8450536
dblp:conf/iwcmc/HuynhR18
fatcat:fpnmi3mqizeuheapy3jute7tty
Analysis and research on wireless sensor networks
2021
MATEC Web of Conferences
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This paper introduces the structure, characteristics of wireless sensor networks. Then, some key questions of the research field are discussed based on the basic principles. ...
With the development of sensor, computer and communication, the researcher attaches more and more attentions to the research of the wireless sensor networks because of its bright future in applications ...
Cross-layer design Many current wireless sensor network protocols are based on the traditional hierarchical structure, which is actually a local sub-optimal scheme. ...
doi:10.1051/matecconf/202133604009
fatcat:moh6z2nlhrek3l4at35mecbldu
Joint Detection of Sentence Stress and Phrase Boundary for Prosody
2020
Interspeech 2020
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We evaluate the network performance based on Aix-Machine Readable Spoken English Corpus (Aix-MARSEC). ...
In this paper, we propose a hierarchical network modeling the contextual factors at the granularity of phoneme, syllable and word based on bidirectional Long Short-Term Memory (BLSTM). ...
A hierarchical network based on BLSTM is developed to dynamically capture contextual information at multi-granularity of phoneme, syllable and word. ...
doi:10.21437/interspeech.2020-1284
dblp:conf/interspeech/LinWFZ20a
fatcat:ar7jsvjbizcxzfk5dlurynz2ce
A Security Determination-Reaction Architecture for Heterogeneous Distributed Network
2017
International Journal of Scientific Research in Computer Sciences and Engineering
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model helps agents to make decisions according to preference values and is built upon ontology based knowledge sharing , bayesian networks based uncertainity management and influence diagram based decision ...
The main focus of this paper is to provide a global architectural solution built on the requirements for a reaction after alert detection mechanisms in the frame of Information Systems Security and more ...
In our case, three layers are sufficient (local, intermediate and global). ...
doi:10.26438/ijsrcse/v5i5.2634
fatcat:2u5aknelcvhsxde5xejz3homhm
Multi-scale brain networks
2017
NeuroImage
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We choose to focus on community detection-which we define carefully in the next section-because it encompasses one of the most frequently used set of tools capable of extracting and characterizing network ...
First, we present and discuss variations of network algorithms (particularly, community detection) that make it possible to describe a network at multiple topological scales Fortunato, 2010) . ...
Acknowledgments We thank Arian Ashourvan and Lia Papadopoulos for helpful feedback on an earlier verson of this manuscript. ...
doi:10.1016/j.neuroimage.2016.11.006
pmid:27845257
pmcid:PMC5695236
fatcat:wqdktooym5g6vnepdwj7bfhelm
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