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101 results on '"Singh, Shashank Sheshar"'

3. Empirical Analysis of Unsupervised Link Prediction Algorithms in Weighted Networks

Author

Kumar, Ajay, Singh, Shashank Sheshar, Mishra, Shivansh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Rajesh, editor, Verma, Ajit Kumar, editor, Sharma, Tarun K., editor, Verma, Om Prakash, editor, and Sharma, Sanjay, editor

Published
2023
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4. An Extensive Survey on Classification of Malaria Parasites in Patients Based on Fuzzy Approaches

Author

Srivastava, Divya, Muhuri, Samya, Singh, Shashank Sheshar, Verma, Madhushi, Ramakrishna, Viswanath, Editor-in-Chief, Ding, Zhonghai, Editor-in-Chief, SenGupta, Ashis, Editorial Board Member, Jayaram, Balasubramaniam, Editorial Board Member, Subrahmanyam, P. V., Editorial Board Member, Bapat, Ravindra B., Editorial Board Member, Som, Tanmoy, editor, Castillo, Oscar, editor, Tiwari, Anoop Kumar, editor, and Shreevastava, Shivam, editor

Published
2023
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5. Role of Centrality Measures in Link Prediction on Fuzzy Social Networks

Author

Singh, Shashank Sheshar, Verma, Madhushi, Muhuri, Samya, Srivastava, Divya, Ramakrishna, Viswanath, Editor-in-Chief, Ding, Zhonghai, Editor-in-Chief, SenGupta, Ashis, Editorial Board Member, Jayaram, Balasubramaniam, Editorial Board Member, Subrahmanyam, P. V., Editorial Board Member, Bapat, Ravindra B., Editorial Board Member, Som, Tanmoy, editor, Castillo, Oscar, editor, Tiwari, Anoop Kumar, editor, and Shreevastava, Shivam, editor

Published
2023
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6. A Review on Community Detection Using Deep Neural Networks with Enhanced Learning

Author

Sikarwar, Ranjana, Singh, Shashank Sheshar, Shakya, Harish Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gupta, Deepak, editor, Khanna, Ashish, editor, Bhattacharyya, Siddhartha, editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2023
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11. A Review on Community Detection Methods and Algorithms in Social Networks: Open Trends and Challenges

Author

Sikarwar, Ranjana, Singh, Shashank Sheshar, Shakya, Harish Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Sharma, Sanjeev, editor, Peng, Sheng-Lung, editor, Agrawal, Jitendra, editor, Shukla, Rajesh K., editor, and Le, Dac-Nhuong, editor

Published
2022
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14. Multiview Classification with Missing-Views Through Adversarial Representation and Inductive Transfer Learning

Author

Yusuf, Mukhtar Opeyemi, Srivastava, Divya, Singh, Shashank Sheshar, Alam, Mahtab, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Jagannathan, Sarangapani, editor, Gupta, Ankur, editor, Garg, Lalit, editor, and Gupta, Suneet, editor

Published
2022
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20. DCDIMB: Dynamic Community-based Diversified Influence Maximization using Bridge Nodes.

Author

Meena, Sunil Kumar, Singh, Shashank Sheshar, and Singh, Kuldeep

Subjects
SOCIAL network analysis, SOCIAL networks, SOCIAL influence, INFORMATION dissemination, NP-hard problems
Abstract

Influence maximization (IM) is the fundamental study of social network analysis. The IM problem finds the top k nodes that have maximum influence in the network. Most of the studies in IM focus on maximizing the number of activated nodes in the static social network. But in real life, social networks are dynamic in nature. This work addresses the diversification of activated nodes in the dynamic social network. This work proposes an objective function that maximizes the number of communities by utilizing bridge nodes. We also propose a diffusion model that considers the role of inactive nodes in influencing a node. We prove the submodularity, and monotonicity of the objective function under the proposed diffusion model. This work analyzes the impact of different ratios of bridge nodes in the seed set on real-world and synthetic datasets. Furthermore, we prove the NP-Hardness of the objective function under the proposed diffusion model. The experiments are conducted on various real-world and synthetic datasets with known and unknown community information. The proposed work experimentally shows that the objective function gives the maximum number of communities considering bridge nodes compared with the benchmark algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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23. A Centrality Measure for Influence Maximization Across Multiple Social Networks

Author

Singh, Shashank Sheshar, Kumar, Ajay, Mishra, Shivansh, Singh, Kuldeep, Biswas, Bhaskar, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yuan, Junsong, Founding Editor, Luhach, Ashish Kumar, editor, Jat, Dharm Singh, editor, Hawari, Kamarul Bin Ghazali, editor, Gao, Xiao-Zhi, editor, and Lingras, Pawan, editor

Published
2019
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24. An Implementation of Malware Detection System Using Hybrid C4.5 Decision Tree Algorithm

Author

Kumar, Ajay, Singh, Shashank Sheshar, Singh, Kuldeep, Shakya, Harish Kumar, Biswas, Bhaskar, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Luhach, Ashish Kumar, editor, Singh, Dharm, editor, Hsiung, Pao-Ann, editor, Hawari, Kamarul Bin Ghazali, editor, Lingras, Pawan, editor, and Singh, Pradeep Kumar, editor

Published
2019
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25. CoIM: Community-Based Influence Maximization in Social Networks

Author

Singh, Shashank Sheshar, Singh, Kuldeep, Kumar, Ajay, Biswas, Bhaskar, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Luhach, Ashish Kumar, editor, Singh, Dharm, editor, Hsiung, Pao-Ann, editor, Hawari, Kamarul Bin Ghazali, editor, Lingras, Pawan, editor, and Singh, Pradeep Kumar, editor

Published
2019
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26. A Survey on Information Diffusion Models in Social Networks

Author

Singh, Shashank Sheshar, Singh, Kuldeep, Kumar, Ajay, Shakya, Harish Kumar, Biswas, Bhaskar, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Luhach, Ashish Kumar, editor, Singh, Dharm, editor, Hsiung, Pao-Ann, editor, Hawari, Kamarul Bin Ghazali, editor, Lingras, Pawan, editor, and Singh, Pradeep Kumar, editor

Published
2019
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27. Influence Maximization in Social Networks

Author

Singh, Shashank Sheshar, Kumar, Ajay, Mishra, Shivansh, Singh, Kuldeep, Biswas, Bhaskar, Du, Ding-Zhu, Honorary Editor, Pardalos, Panos M., Series Editor, Birge, J., Advisory Editor, Butenko, S., Advisory Editor, Giannessi, F., Advisory Editor, Rebennack, S., Advisory Editor, Terlaky, T., Advisory Editor, Ye, Y., Advisory Editor, Fathi, Mahdi, editor, and Khakifirooz, Marzieh, editor

Published
2019
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37. Community-enhanced Link Prediction in Dynamic Networks.

Author

Kumar, Mukesh, Mishra, Shivansh, Singh, Shashank Sheshar, and Biswas, Bhaskar

Subjects
ONLINE social networks, INFORMATION networks, FEATURE selection, SOCIAL networks, NETWORK performance
Abstract

The growing popularity of online social networks is quite evident nowadays and provides an opportunity to allow researchers in finding solutions for various practical applications. Link prediction is the technique of understanding network structure and identifying missing and future links in social networks. One of the well-known classes of methods in link prediction is a similarity-based method, which uses local and global topological information of the network to predict missing links. Some methods also exist based on quasi-local features to achieve a trade-off between local and global information on static networks. These quasi-local similarity-based methods are not best suited for considering community information in dynamic networks, failing to balance accuracy and efficiency. Therefore, a community-enhanced framework is presented in this article to predict missing links on dynamic social networks. First, a link prediction framework is presented to predict missing links using parameterized influence regions of nodes and their contribution in community partitions. Then, a unique feature set is generated using local, global, and quasi-local similarity-based as well as community information-based features. This feature set is further optimized using scoring-based feature selection methods to select only the most relevant features. Finally, four machine learning-based classification models are used for link prediction. The experiments are performed on six well-known dynamic networks and three performance metrics, and the results demonstrate that the proposed method outperforms the state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Published
2024
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