Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Murali Krishna Enduri"'
Autor:
Buran Basha Mohammad, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 12, Pp 123897-123920 (2024)
Exploring the significance of popular node’s impact in complex networks yields numerous advantages, such as improving network resilience and accelerating information dissemination. While conventional centrality measures accurately quantify individu
Externí odkaz:
https://doaj.org/article/cbdbfc1874504d3ea86212c2d30ab13f
Autor:
Mondikathi Chiranjeevi, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 12, Pp 93711-93722 (2024)
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the infra
Externí odkaz:
https://doaj.org/article/a4029c5a788d4116b9f79d03025010b8
Autor:
Mondikathi Chiranjeevi, V Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 12, Pp 52539-52554 (2024)
The detection and ranking of influential nodes in complex networks are crucial for various practical applications such as identifying potential drug targets in protein-to-protein interaction networks, critical devices in communication networks, key p
Externí odkaz:
https://doaj.org/article/2ad64ad71ae14bdc93a065338118687c
Publikováno v:
IEEE Access, Vol 12, Pp 51208-51222 (2024)
Many real-world problems can be modelled in the form of complex networks. Social networks such as research collaboration networks and facebook, biological neural networks such as human brains, biomedical networks such as drug-target interactions and
Externí odkaz:
https://doaj.org/article/4056c7bcccbb4e38a0cc0aa1ebfe96a5
Publikováno v:
IEEE Access, Vol 12, Pp 48404-48419 (2024)
Ranking influential nodes within complex networks offers invaluable insights into a wide array of phenomena ranging from disease management to information dissemination and optimal routing in real-time networking applications. Centrality measures, wh
Externí odkaz:
https://doaj.org/article/cded144cc0024d978904de775ecdd161
Publikováno v:
IEEE Access, Vol 12, Pp 10186-10201 (2024)
The study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and struct
Externí odkaz:
https://doaj.org/article/8b944a33614a44b094363d811f1f5099
Publikováno v:
Entropy, Vol 26, Iss 6, p 433 (2024)
Link prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researc
Externí odkaz:
https://doaj.org/article/52a98a7ff2df486fade5753097956df3
Autor:
Mondikathi Chiranjeevi, V Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 11, Pp 126195-126208 (2023)
Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, transportation networks, a
Externí odkaz:
https://doaj.org/article/405c3bce286f483681315e9fc734bf5f
Autor:
Koduru Hajarathaiah, Murali Krishna Enduri, Sateeshkrishna Dhuli, Satish Anamalamudi, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 11, Pp 808-824 (2023)
Identifying vital nodes is important in disease research, spreading rumors, viral marketing, and drug development. The vital nodes in any network are used to spread information as widely as possible. Centrality measures such as Degree centrality (D),
Externí odkaz:
https://doaj.org/article/012c9385d5fd407484d35958a060f804
Autor:
Murali Krishna Enduri, Abdur Rashid Sangi, Satish Anamalamudi, Ramanadham Chandu Badrinath Manikanta, Kallam Yogeshvar Reddy, Panchumarthi Lovely Yeswanth, Suda Kiran Sai Reddy, Gogineni Asish Karthikeya
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 42, Iss 1, Pp 207-215 (2023)
With the advancement of the Internet and the world wide web (WWW), it is observed that there is an exponential growth of data and information across the internet. In addition, there is a huge growth in digital or textual data generation. This is beca
Externí odkaz:
https://doaj.org/article/7e159bf44eff480b9d9127aeb7e38cb2