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- research-articleNovember 2023
Topological Portfolio Selection and Optimization
ICAIF '23: Proceedings of the Fourth ACM International Conference on AI in FinanceNovember 2023, Pages 681–688https://doi.org/10.1145/3604237.3626875Modern portfolio optimization is centered around creating a low-risk portfolio with extensive asset diversification. Following the seminal work of Markowitz, optimal asset allocation can be computed using a constrained optimization model based on ...
- research-articleMarch 2023
Event stream controllability on event-based complex networks
Expert Systems with Applications: An International Journal (EXWA), Volume 213, Issue PAMar 2023https://doi.org/10.1016/j.eswa.2022.118886Highlights- The proposed method make fully control Event-Based Complex Network by dynamics of events stream.
In recent years, controllability on complex networks has become one of the most important issues among researchers. This study addresses the problem of controllability on an event-based complex network using events and their resulting ...
- ArticleMarch 2023
GeoNet: Artificial Neural Network Based on Geometric Network
Smart Computing and CommunicationNov 2022, Pages 505–514https://doi.org/10.1007/978-3-031-28124-2_48AbstractArtificial neural network has achieved great success in many fields. Considering the unique advantages of naturally generated networks, we combine the geometric complex network model with the existing neural network model to build a neural network ...
- research-articleOctober 2022
Network Filtering of Spatial-temporal GNN for Multivariate Time-series Prediction
ICAIF '22: Proceedings of the Third ACM International Conference on AI in FinanceNovember 2022, Pages 463–470https://doi.org/10.1145/3533271.3561678We propose an architecture for multivariate time-series prediction that integrates a spatial-temporal graph neural network with a filtering module which filters the inverse correlation matrix into a sparse network structure. In contrast with existing ...
- research-articleDecember 2022
Research on Sleep EEG Signals Based on IOTA
CSAE '22: Proceedings of the 6th International Conference on Computer Science and Application EngineeringOctober 2022, Article No.: 3, Pages 1–6https://doi.org/10.1145/3565387.3565390As a nonlinear analysis method based on permutation, internal composition alignment (IOTA) algorithm can study the coupling between systems by calculating the coupling coefficient between two time series. In this paper, the internal composition ...
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- research-articleJune 2022
A network-based feature extraction model for imbalanced text data
Expert Systems with Applications: An International Journal (EXWA), Volume 195, Issue CJun 2022https://doi.org/10.1016/j.eswa.2022.116600Highlights- A network-based model is proposed for processing imbalanced text data.
- We ...
The explosive growth of text data has attracted many researchers to explore the efficient method to extract valuable hidden information. Many technologies, especially deep learning methods, have achieved great success in text analysis. ...
- research-articleApril 2022
- research-articleJanuary 2022
Identifying influential nodes in weighted complex networks using an improved WVoteRank approach
Applied Intelligence (KLU-APIN), Volume 52, Issue 2Jan 2022, Pages 1838–1852https://doi.org/10.1007/s10489-021-02403-5AbstractInfluence maximization is an important research problem in the field of network science because of its business value. It requires the strategic selection of seed nodes called “influential nodes,” such that information originating from these nodes ...
- research-articleMarch 2022
Research on Topology Evolution of Autonomous System Network
ICCNS '21: Proceedings of the 2021 11th International Conference on Communication and Network SecurityDecember 2021, Pages 66–79https://doi.org/10.1145/3507509.3507519After investigating the study about autonomous system level networks, we found that the latest data analysis used is open data provided in 2013. Thus, based on the open-source network BGP routing information provided by RouteViews from 2000 to 2020, ...
- research-articleJune 2021
Dynamic Computation Offloading Strategy with DNN Partitioning in D2D Multi-Hop Networks
ICCBN '21: Proceedings of the 2021 9th International Conference on Communications and Broadband NetworkingFebruary 2021, Pages 172–178https://doi.org/10.1145/3456415.3457224The expansion of smart mobile applications has posed great challenges on mobile devices with limited computation resources. Since DNN based applications are usually computation-intensive, it is hard for resource-poor mobile devices to meet delay ...
- short-paperNovember 2021
Complex information processing networks of EEG oscillations during voluntary movements
SMA 2020: The 9th International Conference on Smart Media and ApplicationsSeptember 2020, Pages 456–459https://doi.org/10.1145/3426020.3426167A complex physical pattern of connections has been widely observed in many real-world systems, including social, biological, and technological networks. This ubiquitous characteristic of complex systems has also been observed in functional/structural ...
- articleJuly 2020
Skeleton Network Extraction and Analysis on Bicycle Sharing Networks
International Journal of Data Warehousing and Mining (IJDWM-IGI), Volume 16, Issue 3Jul 2020, Pages 146–167https://doi.org/10.4018/IJDWM.2020070108Skeleton network extraction has been adopted unevenly in transportation networks whose nodes are always represented as spatial units. In this article, the TPks skeleton network extraction method is proposed and applied to bicycle sharing networks. The ...
- research-articleMay 2020
Complex Network and Systemic Risk Analysis of Financial systems Based on Computational Experiment Method
CNIOT '20: Proceedings of the 2020 International Conference on Computing, Networks and Internet of ThingsApril 2020, Pages 191–196https://doi.org/10.1145/3398329.3398348We construct an artificial financial system based on the computational experimental method. After that, the complex network morphological features of the financial system and its influence on the systemic risk are both analyzed by leading a simulation ...
- research-articleMay 2020
A Complex Network Model for Credit and Debt Relationships Analysis of Bank-Firm System
CNIOT '20: Proceedings of the 2020 International Conference on Computing, Networks and Internet of ThingsApril 2020, Pages 185–190https://doi.org/10.1145/3398329.3398347We construct a complex network model of the bank-firm system. Based on the bank-firm balance sheets and their evolution behaviors, the interbank lending relationships, interfirm guarantee relationships and bank-firm lending relationships were ...
- research-articleFebruary 2020
Complex Network-Based Web Service for Web-API Discovery
ACSW '20: Proceedings of the Australasian Computer Science Week MulticonferenceFebruary 2020, Article No.: 18, Pages 1–10https://doi.org/10.1145/3373017.3373035With the rapid and continual increase in the number and diversity of Web-APIs currently available on the Web, finding most appropriate Web-APIs to speed-up software development is becoming increasingly challenging. At the moment, Web-API consumers ...
- research-articleFebruary 2020
Structural Transition Analysis of Dynamic Network Based on Roles of Adding Edges
iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & ServicesDecember 2019, Pages 370–376https://doi.org/10.1145/3366030.3366084Many of the actual complex networks are dynamic networks that constantly change their structure by adding edges (and nodes). We hypothesized that the addition of edges (changes in the network) has two roles: "densification of at the center of network" ...
- research-articleOctober 2019
Vulnerability Analysis of China's Railway Express Freight Transportation as a Complex Network Problem
CSAE '19: Proceedings of the 3rd International Conference on Computer Science and Application EngineeringOctober 2019, Article No.: 133, Pages 1–5https://doi.org/10.1145/3331453.3360960Railway transportation is the key part of China's modern transportation system, but the failures of some stations or lines may affect the efficiency of railway transportation. Analyzing the topological characteristics and vulnerability of China's ...
- research-articleMarch 2020
Evolution Analysis of Foreign Trade Network Structructure Based on Complex Network SNA
EBIMCS '19: Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer ScienceAugust 2019, Article No.: 26, Pages 1–5https://doi.org/10.1145/3377817.3377839Since the 21st century, international trade has developed rapidly, and the complicated trade relations among countries have formed a trade network. We use (SNA), which is based on topology, to analyze the characteristics and influencing factors of China'...
- research-articleMay 2019
A Node Backup Algorithm for Fault Cascade Degradation in Virtualization Power Communication Network
ICBDC '19: Proceedings of the 4th International Conference on Big Data and ComputingMay 2019, Pages 339–343https://doi.org/10.1145/3335484.3335530This paper studies the fault cascade degradation in virtualization power communication network. To fulfill certain requirements (e.g. reasonable network design in the network virtualization environment (NV)), we propose a network optimization algorithm: ...
- articleJanuary 2019
Discovering Important Services Based on Weighted K-Core Decomposition
International Journal of Web Services Research (IJWSR-IGI), Volume 16, Issue 1January 2019, Pages 22–36https://doi.org/10.4018/IJWSR.2019010102With the development of service-oriented architecture, the number of services is expanding rapidly. Important services usually have high quality, and they can be recommended to users if the users do not give any keyword. However, how to discover the ...