2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020
Social Network is an emerging area of research today. The amount of information carried by Online... more Social Network is an emerging area of research today. The amount of information carried by Online Social Networks in the form of text and images is of immense value for data mining and knowledge extraction. There are many approaches to social network analysis including machine learning. Machine learning algorithms work on a set of observable features extracted from user information. Application of machine learning in the field of online social network analysis includes spammer detection, user classification, link prediction, troll pages detection, friend suggestions, community or cluster identification, trend analysis, sentiment analysis of political blogging etc. This paper surveys on the existing work on a) fake profile detection b) personality trait recognition c) depression detection based on using machine learning algorithms in social network analysis and presents a comparative study of the different approaches.
Blockchain is a decentralized and distributed digital ledger that maintains a continuously growin... more Blockchain is a decentralized and distributed digital ledger that maintains a continuously growing list of time-sequenced records of transactions. Records are validated by the participating nodes and confirmed before it finally gets added to the immutable ledger. Information stored in blockchain is hardened against any sort of tampering or revision by any of the participating nodes. Verifying and transferring ownership by third-party intermediaries is redundant, as it is done by the decentralized protocol using complex math and cryptography. Inherent characteristics of blockchain are to enhance trust between the parties through transparency and traceability by lowering friction in transactions between the participants. Global supply chains are growing more complex and complicated. Current supply chain system operates under disparate methods between disconnected systems where there is no clarity of a single state of truth. Everyone in the ecosystem maintains their own current state i...
Study of relationships established in social media is an emerging area of research. Online Social... more Study of relationships established in social media is an emerging area of research. Online Social Network (OSN) is a collection of social entities carrying a lot of information that enriches the network. A structured modelling of the OSN dataset is required for informative knowledge mining and efficient Social Network Analysis (SNA). Graphical representation of data helps in analysing the structural properties, study of dense substructure, cluster formation and identifying the numerous types of entities exhibiting associations based on different activity fields. This paper discusses about various ways of graph theoretic representations of OSN including structure-based and content or interaction-based approaches. An integrated framework is proposed in this paper that learns from various user attributes and its associated interactions, network structure, timeline history, etc from a polarized OSN Graph for generating an efficient Friend Suggestion Recommender System.
In any educational institution, the two most common academic scheduling problems are course timet... more In any educational institution, the two most common academic scheduling problems are course timetabling and exam timetabling. A schedule is desirable which combines resources like teachers, subjects, students, classrooms in a way to avoid conflicts satisfying various essential and preferential constraints. The timetable scheduling problem is known to be NP Complete but the corresponding optimization problem is NP Hard. Hence a heuristic approach is preferred to find a nearest optimal solution within reasonable running time. Graph coloring is one such heuristic algorithm that can deal timetable scheduling satisfying changing requirements, evolving subject demands and their combinations. This study shows application of graph coloring on multiple data sets of any educational institute where different types of constraints are applied. It emphasizes on degree of constraint satisfaction, even distribution of courses, test for uniqueness of solution and optimal outcome. When multiple optim...
2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020
Social Network is an emerging area of research today. The amount of information carried by Online... more Social Network is an emerging area of research today. The amount of information carried by Online Social Networks in the form of text and images is of immense value for data mining and knowledge extraction. There are many approaches to social network analysis including machine learning. Machine learning algorithms work on a set of observable features extracted from user information. Application of machine learning in the field of online social network analysis includes spammer detection, user classification, link prediction, troll pages detection, friend suggestions, community or cluster identification, trend analysis, sentiment analysis of political blogging etc. This paper surveys on the existing work on a) fake profile detection b) personality trait recognition c) depression detection based on using machine learning algorithms in social network analysis and presents a comparative study of the different approaches.
Blockchain is a decentralized and distributed digital ledger that maintains a continuously growin... more Blockchain is a decentralized and distributed digital ledger that maintains a continuously growing list of time-sequenced records of transactions. Records are validated by the participating nodes and confirmed before it finally gets added to the immutable ledger. Information stored in blockchain is hardened against any sort of tampering or revision by any of the participating nodes. Verifying and transferring ownership by third-party intermediaries is redundant, as it is done by the decentralized protocol using complex math and cryptography. Inherent characteristics of blockchain are to enhance trust between the parties through transparency and traceability by lowering friction in transactions between the participants. Global supply chains are growing more complex and complicated. Current supply chain system operates under disparate methods between disconnected systems where there is no clarity of a single state of truth. Everyone in the ecosystem maintains their own current state i...
Study of relationships established in social media is an emerging area of research. Online Social... more Study of relationships established in social media is an emerging area of research. Online Social Network (OSN) is a collection of social entities carrying a lot of information that enriches the network. A structured modelling of the OSN dataset is required for informative knowledge mining and efficient Social Network Analysis (SNA). Graphical representation of data helps in analysing the structural properties, study of dense substructure, cluster formation and identifying the numerous types of entities exhibiting associations based on different activity fields. This paper discusses about various ways of graph theoretic representations of OSN including structure-based and content or interaction-based approaches. An integrated framework is proposed in this paper that learns from various user attributes and its associated interactions, network structure, timeline history, etc from a polarized OSN Graph for generating an efficient Friend Suggestion Recommender System.
In any educational institution, the two most common academic scheduling problems are course timet... more In any educational institution, the two most common academic scheduling problems are course timetabling and exam timetabling. A schedule is desirable which combines resources like teachers, subjects, students, classrooms in a way to avoid conflicts satisfying various essential and preferential constraints. The timetable scheduling problem is known to be NP Complete but the corresponding optimization problem is NP Hard. Hence a heuristic approach is preferred to find a nearest optimal solution within reasonable running time. Graph coloring is one such heuristic algorithm that can deal timetable scheduling satisfying changing requirements, evolving subject demands and their combinations. This study shows application of graph coloring on multiple data sets of any educational institute where different types of constraints are applied. It emphasizes on degree of constraint satisfaction, even distribution of courses, test for uniqueness of solution and optimal outcome. When multiple optim...
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Papers by Runa Ganguli