The Indian Journal of Data Communication and Networking (IJDCN) has ISSN 2582-760X (Online), an open-access, peer-reviewed, periodical bi-monthly international journal, which is published by Lattice Science Publication (LSP) in February, April, June, August, October and December. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Data Communication and Networking that covers Addressing, Routing, Switching and Location Management, Broadband, Mobile, Wired, Wireless Internet, Networks, Adhoc and Sensor Networks, High Speed Networks, Mobile and Wireless Networks, Network Architectures, Network Based Applications, Network Protocols, Network Operations & Management, Network Security Trust & Privacy, Cross Layer Design and Optimization, Internet and Web Applications, Network Measurement & Performance Analysis, Next Generation Internet & Web Architectures, Peer to Peer and Overlay Networks, QOS And Resource Management, Recent Trends & Developments in Computer Networks, Self-Organizing Networks and Networked Systems, Ubiquitous Networks, Virtual & Overlay Networks, Wireless Mesh Networks and Protocols, Wireless Multimedia Systems, Personal and Wearable Networks, Embedded Networks, Delay-Tolerant Networks, Cognitive Radio Networks, Vehicular Networks, Smart Grid Communications, Underwater Sensor Networks, Cyber-Physical Systems, Social Networks, Green Networking, Overlay and Peer-to-Peer Networks, Local-area and Metropolitan-Area Networks, Storage-Area Networks, Routing and Transport Protocols, Internet of Things, Link Technologies, Authentication, Authorization, Accounting, Security and Privacy, Cross-Layer Optimization, Multimedia and Real-Time Communication, Machine-to-Machine Communications for Smart Environments, Smart Cities, Network Traffic Characterization and Measurements, Network Management, Reliability and QoS, Performance Evaluation of Networks, Testbeds for Network Experiments, Network Coding, Optical and High-Speed access Networks, High Performance Computing, Digital System and Logic Design, Networked-Driven Multicourse Chips, Information-centric Networking, Opportunistic Networking, Mobile and Ubiquitous Networking, Big Data Networking, Cloud Computing and Networking, Software Defined Networking and Network Function Virtualization, Adaptive Networking Applications, IoT & IoE & Edge Computing, Distributed Mobile Applications Utilizing IoT, Security, Privacy and Trust in IoT & IoE, Standards for IoT Applications, Ubiquitous Computing, Blockchain-Enabled IoT Device and Data Security and Privacy, Application of WSN in IoT, Cloud Resources Utilization in IoT, Wireless Access Technologies for IoT, Mobile Applications and Services for IoT, Machine/ Deep Learning with IoT & IoE, Smart Sensors and Internet of Things for Smart City, Logic, Functional programming and Microcontrollers for IoT, Sensor Networks, Actuators for Internet of Things, Data Visualization using IoT, IoT Application and Communication Protocol, Big Data Analytics for Social Networking using IoT, IoT Applications for Smart Cities, Emulation and Simulation Methodologies for IoT, IoT Applied for Digital Contents, Microstrip Antenna, Microwave, Radar and Satellite, Smart Antenna, MIMO Antenna, Wireless Communication, RFID Network and Applications, 5G Communication, 6G Communication. #Network Architectures #Network Based Applications #Network Protocols #Network Operations & Management #Network Security Trust & Privacy #Cross Layer Design and Optimization #Internet and Web Applications #Network Measurement & Performance Analysis #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Green Networking #Overlay and Peer-to-Peer Networks #Local-area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #High Performance Computing #Digital System and Logic Design #Networked-Driven Multicourse Chips #Information-Centric Networking #Opportunistic Networking #Mobile and Ubiquitous Networking #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Adaptive Networking Applications #Internet of Things (IoT) #IoT & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Blockchain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big...

This research investigates the stability and occurrence of Hopf bifurcation in a credit risk contagion model, which includes distributed delay, using the chain trick method. The model is a generalized version of those previously examined. The model is an expanded version of those previously studied. Comparative analysis showed that unlike earlier models, which only used the nonlinear resistance coefficient to determine the rate of credit risk infection, the credit risk contagion rate is also affected by the weight given to past behaviors of credit risk participants. Therefore, it is recommended to model the transmission of credit risk contagion using dispersed delays.