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This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.

1 Classifying Content Quality and Interaction Quality on Online Social Networks
1(8)
Amtul Waheed
Jana Shan
P. Venkata Krishna
1.1 Introduction
1(1)
1.2 Related Work
2(1)
1.3 Analyzing Content Quality in Social Media
3(2)
1.3.1 Intrinsic Content Quality
3(1)
1.3.2 User Relationships
4(1)
1.3.3 Statistics
4(1)
1.3.4 Classification
4(1)
1.4 Analyzing Interaction Quality in Social Media
5(1)
1.4.1 Dataset
5(1)
1.4.2 Hypothesis
5(1)
1.4.3 Network Analysis
5(1)
1.4.4 Classification
6(1)
1.5 Conclusion
6(1)
References
6(3)
2 Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Data
9(20)
Jangam J. S. Mani
Sandhya Rani Kasireddy
2.1 Introduction
9(3)
2.1.1 Big Data
9(1)
2.1.2 Healthcare and IOT
10(1)
2.1.3 Balanced Versus Unbalanced (Malnutrition) Diet
11(1)
2.1.4 The Principle Contributions of This Paper
12(1)
2.2 Related Work
12(1)
2.3 Proposed Method
13(9)
2.3.1 Data Collection and Pre-processing
14(2)
2.3.2 Rule-Based Method for Classification
16(6)
2.4 Experimental Results and Discussion
22(3)
2.4.1 Model Performance
23(1)
2.4.2 Classification Model Results Comparison
24(1)
2.5 Future Work
25(1)
2.6 Conclusion
25(1)
References
26(3)
3 Investigating Recommender Systems in OSNs
29(16)
Jana Shafi
Amtul Waheed
P. Venkata Krishna
3.1 Introduction
29(2)
3.2 Analysis of Available Public Data
31(3)
3.2.1 System Architecture
31(1)
3.2.2 Creating User Profile
31(3)
3.3 Facebook Centred High-Quality Filtering (Disadvantages)
34(1)
3.4 Database System Support: Recommendation Applications
35(7)
3.4.1 Creating a Recommender
36(6)
3.5 Conclusion
42(1)
References
42(3)
4 A Methodology for Processing Opinion Mining on GST in India from Social Media Data Using Recursive Neural Networks and Maximum Entropy Techniques
45(14)
N. V. Muthu Lakshmi
T. Lakshmi Praveena
4.1 Introduction
45(1)
4.2 Social Media Data Analytics
46(2)
4.3 Goods and Services Tax (GST) and Its Significance
48(1)
4.4 Opinion Mining for Data Analytics
48(1)
4.4.1 Recursive Neural Networks
48(1)
4.4.2 Maximum Entropy Method
49(1)
4.5 Comparison of Algorithms
49(1)
4.6 Proposed Methodology
49(6)
4.7 Conclusion and Future Work
55(1)
References
56(3)
5 A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach
59(8)
Pradeepthi Nimirthi
P. Venkata Krishna
Mohammad S. Obaidat
V. Saritha
5.1 Introduction
59(1)
5.2 Background
60(1)
5.2.1 Lexicon Approach
60(1)
5.2.2 Machine Learning Approach
60(1)
5.2.3 Hybrid Approach
61(1)
5.3 System Model
61(1)
5.4 Methodology
62(1)
5.4.1 Brief Overview About the Methodology to Perform Sentiment Analysis
62(1)
5.4.2 Overall Description
62(1)
5.5 Experimental Results
63(1)
5.5.1 Andhra Pradesh (AP) Agriculture Tweets Sentiment Rate
63(1)
5.5.2 Unigram Model
64(1)
5.5.3 Bigram Model
64(1)
5.6 Discussion
64(1)
5.7 Conclusion
65(1)
References
65(2)
6 A Review on Crypto-Currency Transactions Using IOTA (Technology)
67(16)
Kundan Dasgupta
M. Rajasekhara Babu
6.1 Introduction
67(2)
6.2 Existing Blockchain
69(3)
6.2.1 Introduction
69(1)
6.2.2 Bitcoin and Its Mining
70(2)
6.3 Shortcomings in Blockchains and Bitcoins
72(1)
6.4 IOTA
72(5)
6.4.1 Introduction
72(1)
6.4.2 Directed Acyclic Graph
73(1)
6.4.3 Balanced Ternary Logic
73(1)
6.4.4 The Tangle
74(2)
6.4.5 Issues
76(1)
6.5 Summary
77(1)
6.6 Conclusion
78(1)
6.7 Future Work
78(1)
References
79(4)
7 Predicting Ozone Layer Concentration Using Machine Learning Techniques
83(10)
Aditya Sai Srinivas
Ramasubbareddy Somula
K. Govinda
S. S. Manivannan
7.1 Introduction
83(2)
7.2 Background
85(2)
7.2.1 Multivariate Adaptive Regression Splines Algorithm
85(2)
7.2.2 Random Forest Algorithm
87(1)
7.3 Results
87(3)
7.3.1 Multivariate Adaptive Regression Splines
88(1)
7.3.2 Random Forests
88(2)
7.4 Conclusion
90(1)
References
91(2)
8 Graph Analysis and Visualization of Social Network Big Data
93(12)
N. Mithili Devi
Sandhya Rani Kasireddy
8.1 Introduction
93(2)
8.2 Social Networking
95(1)
8.3 Graph Analysis and Visualization
95(1)
8.4 Graph-Based Social Network Analysis System
96(4)
8.5 Network Statistics
100(3)
8.6 Conclusion
103(1)
References
103(2)
9 Research Challenges in Big Data Solutions in Different Applications
105
Bhawna Dhupia
M. Usha Rani
9.1 Introduction
105(1)
9.2 Application of Big Data
106(4)
9.2.1 Health Care
107(1)
9.2.2 Agriculture
108(1)
9.2.3 Education
108(1)
9.2.4 Criminal Network Analysis
109(1)
9.2.5 Smart City
110(1)
9.3 Big Data Challenges in Data Analytics Process and Solutions
110(4)
9.3.1 Data Storage
111(1)
9.3.2 Data Processing
112(1)
9.3.3 Data Quality and Relevance
112(1)
9.3.4 Data Privacy and Security
113(1)
9.3.5 Data Scalability
113(1)
9.4 Conclusion and Future Work
114(1)
References
114
Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director of Sri Padmavati Mahila University, Tirupati, India. He received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include mobile and wireless systems, cross layer wireless network design, QoS and cloud computing. He has authored 15 books on computer networks and programming languages. He is currently the Editor-in-Chief for the International Journal of Smart Grid and Green Communications, Inderscience Publishers, Switzerland and also Editor of the International Journal of Systemics, Cybernetics and Informatics and the Journal of Advanced Computing Technologies. He is an Associate Editor for International Journal of Communication Systems, Wiley. He is a senior member several professional societies, including IEEE, ACM, CSI, IE(I)etc. 









Dr. Sasikumar Gurumoorthy received his Ph.D. in Computer Science and Engineering from VIT University (VIT), Vellore, Tamil Nadu, India. He is currently a Professor at the Department of Computer Science and Systems engineering at Sree Vidyanikethan Engineering College, Tirupati, India. He has published more than 80 technical papers in various international journals, conferences, as well as three books and five book chapters. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis. 









Dr. Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally respected academic and researcher. He received his Ph.D. and M.S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President of the Society for Molding and Simulation International, SCS, Senior Vice President of SCS, Dean of the College of Engineering at Prince Sultan University, Chair and Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University, Chair and Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University. Dr. Obaidat is currently a Full Professor at the King Abdullah II School of Information Technology, the University of Jordan. He is the founding Editor-in-Chief of the Wiley Security and Privacy Journal and is also the Editor-in-Chief of the Wiley International Journal of Communication Systems, and the FTRA Journalof Convergence. He served as the Editor-in-Chief of the KSIP Journal of Information Processing. He is also an Editor of IEEE Wireless Communications, IEEE Systems Journal, Simulation: Transactions of the Society for Modeling and Simulations (SCS) International, Elsevier Computer Communications Journal, Springer Journal of Supercomputing, IET Wireless Sensor Systems, SCS Journal of Defense Modeling and Simulation, International Journal of Communication Networks and Distributed Systems, The Academy Journal of Communications, International Journal of BioSciences and Technology, International Journal of Information Technology and ICST Transactions on Industrial Networks and Intelligent Systems, among others.