Dr. Ripon Patgiri is an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar, since 2013. His research interests include bloom filters, storage systems, security, and cryptography computing. He has published numerous papers in reputed journals, conferences, and books. Also, he has been awarded with several international patents. He is a senior member of IEEE. He was the General Chair of ICACNI 2018 and BigDML 2019. He is the Organizing Chair of FRSM 2020 and ADCOM 2020. Also, he is the Program Chair of CoMSO 2020, CoMSO 2021, and CoMSO 2022. He is also an editor of several multi-authored books. Moreover, he has received two research project fundings from SERB and DST, India. Ganesh Chandra Deka is currently Deputy Director (Training) at Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Government of India, New Delhi-110001, India. His research interests include e-Governance, Big Data Analytics, NoSQL Databases and Vocational Education and Training.He has 2 books on Cloud Computing published by LAP Lambert, Germany. He is the Co-author for 4 text books on Fundamentals of Computer Science (3 books published by Moni Manik Prakashan, Guwahati, Assam, India and 1 IGI Global, USA). As of now he has edited 14 books (6 IGI Global, USA, 5 CRC Press, USA, 2 Elsevier & 1 Springer) on Big data, NoSQL and Cloud Computing and authored 10 Book Chapters.He has published around 47 research papers in various IEEE conferences. He has organized 08 IEEE International Conferences as Technical Chair in India. He is the Member of the editorial board and reviewer for various Journals and International conferences. Member of IEEE, the Institution of Electronics and Telecommunication Engineers, India and Associate Member, the Institution of Engineers, India Assistant Professor Anupam Biswas works in Computer Science and Engineering at the National Institute of Technology Silchar, Silchar, Assam, India.

• Preface Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas1. CESDAM: Centered subgraph data matrix for large graph representation Anupam Biswas and Bhaskar Biswas 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam3. An empirical investigation on BigGraph using deep learning Lilapati Waikhom and Ripon Patgiri4. Analyzing correlation between quality and accuracy of graph clustering Soumita Das and Anupam Biswas5. geneBF: Filtering protein-coded gene graph data using bloom filter Sabuzima Nayak and Ripon Patgiri 6. Processing large graphs with an alternative representation Ravi Kishore Devarapalli and Anupam Biswas7. MapReduce based convolutional graph neural networks: A comprehensive review U. Kartheek Chandra Patnaik and Ripon Patgiri8. Fast exact triangle counting in large graphs using SIMD acceleration Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS9. A comprehensive investigation on attack graphs M Franckie Singha and Ripon Patgiri10. Qubit representation of a binary tree and its operations in quantum computation Arnab Roy, Joseph L Pachuau and Anish Kumar Saha11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph dataSaurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh12. Big graph based online learning through social networks Rahul Chandra Kushwaha13. Community detection in large-scale real-world networks Dhananjay Kumar Singh and Prasenjit Choudhury14. Power rank: An interactive web page ranking algorithm Ankit Vidyarthi and Pawan Singh15. GA based energy efficient modelling of a wireless sensor network Anish Kumar Saha, Joseph L Pachuau, Arnab Roy and C. T. Bhunia16. The major challenges of big graph and their solutions: A review Fitsum Gebreegziabher and Ripon Patgiri17. An investigation on socio-cyber crime graph V S NageswaraRao Kadiyala and Ripon Patgiri

Dr. Ripon Patgiri is an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar, since 2013. His research interests include bloom filters, storage systems, security, and cryptography computing. He has published numerous papers in reputed journals, conferences, and books. Also, he has been awarded with several international patents. He is a senior member of IEEE. He was the General Chair of ICACNI 2018 and BigDML 2019. He is the Organizing Chair of FRSM 2020 and ADCOM 2020. Also, he is the Program Chair of CoMSO 2020, CoMSO 2021, and CoMSO 2022. He is also an editor of several multi-authored books. Moreover, he has received two research project fundings from SERB and DST, India. Ganesh Chandra Deka is currently Deputy Director (Training) at Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Government of India, New Delhi-110001, India. His research interests include e-Governance, Big Data Analytics, NoSQL Databases and Vocational Education and Training.He has 2 books on Cloud Computing published by LAP Lambert, Germany. He is the Co-author for 4 text books on Fundamentals of Computer Science (3 books published by Moni Manik Prakashan, Guwahati, Assam, India and 1 IGI Global, USA). As of now he has edited 14 books (6 IGI Global, USA, 5 CRC Press, USA, 2 Elsevier & 1 Springer) on Big data, NoSQL and Cloud Computing and authored 10 Book Chapters.He has published around 47 research papers in various IEEE conferences. He has organized 08 IEEE International Conferences as Technical Chair in India. He is the Member of the editorial board and reviewer for various Journals and International conferences. Member of IEEE, the Institution of Electronics and Telecommunication Engineers, India and Associate Member, the Institution of Engineers, India Assistant Professor Anupam Biswas works in Computer Science and Engineering at the National Institute of Technology Silchar, Silchar, Assam, India.

• Preface Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas1. CESDAM: Centered subgraph data matrix for large graph representation Anupam Biswas and Bhaskar Biswas 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam3. An empirical investigation on BigGraph using deep learning Lilapati Waikhom and Ripon Patgiri4. Analyzing correlation between quality and accuracy of graph clustering Soumita Das and Anupam Biswas5. geneBF: Filtering protein-coded gene graph data using bloom filter Sabuzima Nayak and Ripon Patgiri 6. Processing large graphs with an alternative representation Ravi Kishore Devarapalli and Anupam Biswas7. MapReduce based convolutional graph neural networks: A comprehensive review U. Kartheek Chandra Patnaik and Ripon Patgiri8. Fast exact triangle counting in large graphs using SIMD acceleration Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS9. A comprehensive investigation on attack graphs M Franckie Singha and Ripon Patgiri10. Qubit representation of a binary tree and its operations in quantum computation Arnab Roy, Joseph L Pachuau and Anish Kumar Saha11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph dataSaurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh12. Big graph based online learning through social networks Rahul Chandra Kushwaha13. Community detection in large-scale real-world networks Dhananjay Kumar Singh and Prasenjit Choudhury14. Power rank: An interactive web page ranking algorithm Ankit Vidyarthi and Pawan Singh15. GA based energy efficient modelling of a wireless sensor network Anish Kumar Saha, Joseph L Pachuau, Arnab Roy and C. T. Bhunia16. The major challenges of big graph and their solutions: A review Fitsum Gebreegziabher and Ripon Patgiri17. An investigation on socio-cyber crime graph V S NageswaraRao Kadiyala and Ripon Patgiri

Dr. Ripon Patgiri is an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar, since 2013. His research interests include bloom filters, storage systems, security, and cryptography computing. He has published numerous papers in reputed journals, conferences, and books. Also, he has been awarded with several international patents. He is a senior member of IEEE. He was the General Chair of ICACNI 2018 and BigDML 2019. He is the Organizing Chair of FRSM 2020 and ADCOM 2020. Also, he is the Program Chair of CoMSO 2020, CoMSO 2021, and CoMSO 2022. He is also an editor of several multi-authored books. Moreover, he has received two research project fundings from SERB and DST, India. Ganesh Chandra Deka is currently Deputy Director (Training) at Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Government of India, New Delhi-110001, India. His research interests include e-Governance, Big Data Analytics, NoSQL Databases and Vocational Education and Training.He has 2 books on Cloud Computing published by LAP Lambert, Germany. He is the Co-author for 4 text books on Fundamentals of Computer Science (3 books published by Moni Manik Prakashan, Guwahati, Assam, India and 1 IGI Global, USA). As of now he has edited 14 books (6 IGI Global, USA, 5 CRC Press, USA, 2 Elsevier & 1 Springer) on Big data, NoSQL and Cloud Computing and authored 10 Book Chapters.He has published around 47 research papers in various IEEE conferences. He has organized 08 IEEE International Conferences as Technical Chair in India. He is the Member of the editorial board and reviewer for various Journals and International conferences. Member of IEEE, the Institution of Electronics and Telecommunication Engineers, India and Associate Member, the Institution of Engineers, India Assistant Professor Anupam Biswas works in Computer Science and Engineering at the National Institute of Technology Silchar, Silchar, Assam, India.

• Preface Ripon Patgiri, Ganesh ChandraDeka and Anupam Biswas1. CESDAM: Centered subgraph data matrix for large graph representation Anupam Biswas and Bhaskar Biswas 2. Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications Samiya Khan, Xiufeng Liu, Syed Arshad Ali and Mansaf Alam3. An empirical investigation on BigGraph using deep learning Lilapati Waikhom and Ripon Patgiri4. Analyzing correlation between quality and accuracy of graph clustering Soumita Das and Anupam Biswas5. geneBF: Filtering protein-coded gene graph data using bloom filter Sabuzima Nayak and Ripon Patgiri 6. Processing large graphs with an alternative representation Ravi Kishore Devarapalli and Anupam Biswas7. MapReduce based convolutional graph neural networks: A comprehensive review U. Kartheek Chandra Patnaik and Ripon Patgiri8. Fast exact triangle counting in large graphs using SIMD acceleration Kaushik Ravichandran, Akshara Subramaniasivam, Aishwarya PS and Kumar NS9. A comprehensive investigation on attack graphs M Franckie Singha and Ripon Patgiri10. Qubit representation of a binary tree and its operations in quantum computation Arnab Roy, Joseph L Pachuau and Anish Kumar Saha11. Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph dataSaurabh Kumar Srivastava, Ankit Vidyarthi and Sandeep Kumar Singh12. Big graph based online learning through social networks Rahul Chandra Kushwaha13. Community detection in large-scale real-world networks Dhananjay Kumar Singh and Prasenjit Choudhury14. Power rank: An interactive web page ranking algorithm Ankit Vidyarthi and Pawan Singh15. GA based energy efficient modelling of a wireless sensor network Anish Kumar Saha, Joseph L Pachuau, Arnab Roy and C. T. Bhunia16. The major challenges of big graph and their solutions: A review Fitsum Gebreegziabher and Ripon Patgiri17. An investigation on socio-cyber crime graph V S NageswaraRao Kadiyala and Ripon Patgiri