Categorization of Social Networks Based on Multiplicity Constraints
In this paper, categories or groups are identified from a social network, which is defined as a graph with nodes and edges. Categorization is done on the basis of the attributes of the nodes and a set of priori defined constraints. Using fuzzy measures and multiplicity constraints, the node weight and edge weight for the graph is defined. An algorithm is proposed to identify the set of most optimal nodes from the social network which satisfies the priori defined input constraints.
Keywords: alpha cutoff, multiplicity constraints, fuzzy edge weight, fuzzy weight, objective function.
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ABOUT THE AUTHORS
Priya R
She received her Masters Degree in Computer Applications from Madurai Kamaraj University in 2001. Currently she is a Phd Research Scholar in University of Kerala, Trivandrum and working as Assistant Professor in Govt College Kariavattom, Trivandrum India. She has more than 6 years of experience in teaching graduate and postgraduate students of Computer Science. Her interest areas are Software Engineering, Object Oriented Analysis and Design, Modeling using Constrained Objects.
Chitra M T
She received her Masters Degree in Computer Science from University of Kerala, Trivandrum in 2005. She is a Phd Research Scholar in University of Kerala, Trivandrum, India. She has 5 years of experience as Project Associate of various research projects in Indian Institute of Information Technology and Management – Kerala (IIITM-K), Technopark, Trivandrum, India. Her interest areas are Software Engineering and Object Oriented Analysis and Design.
Elizabeth Sherly
She received Ph.D in Computer Science from University of Kerala, Trivandrum, 1995. She is currently working as Director and Professor in Indian Institute of Information Technology and Management – Kerala (IIITM-K), Technopark, Trivandrum, India. She has more than 14 years of teaching experience in Computer Science. Her research areas includes Data mining, Soft Computing - Artificial Neural Networks, Fuzzy Systems, Computational Linguistics, Object Oriented Software Engineering, Grid and Cloud Computing.
Priya R
She received her Masters Degree in Computer Applications from Madurai Kamaraj University in 2001. Currently she is a Phd Research Scholar in University of Kerala, Trivandrum and working as Assistant Professor in Govt College Kariavattom, Trivandrum India. She has more than 6 years of experience in teaching graduate and postgraduate students of Computer Science. Her interest areas are Software Engineering, Object Oriented Analysis and Design, Modeling using Constrained Objects.
Chitra M T
She received her Masters Degree in Computer Science from University of Kerala, Trivandrum in 2005. She is a Phd Research Scholar in University of Kerala, Trivandrum, India. She has 5 years of experience as Project Associate of various research projects in Indian Institute of Information Technology and Management – Kerala (IIITM-K), Technopark, Trivandrum, India. Her interest areas are Software Engineering and Object Oriented Analysis and Design.
Elizabeth Sherly
She received Ph.D in Computer Science from University of Kerala, Trivandrum, 1995. She is currently working as Director and Professor in Indian Institute of Information Technology and Management – Kerala (IIITM-K), Technopark, Trivandrum, India. She has more than 14 years of teaching experience in Computer Science. Her research areas includes Data mining, Soft Computing - Artificial Neural Networks, Fuzzy Systems, Computational Linguistics, Object Oriented Software Engineering, Grid and Cloud Computing.
