Thursday, March 12, 2020 - 11:30 to 12:30
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science at the University of Windsor is pleased to present...
PhD. Seminar by: Ms. Kalyani Selvarajah
Date: Thursday March 12, 2020
Time: 11:30 am to 12:30 pm
Location: Essex Hall Room 105
:A competent team is critical for the success of any task that requires teamwork. Discovering teams of experts for a set of tasks is an NP-Hard problem. It is an emerging topic in social network analysis and requires a unified framework for recommending teams of experts. In this work, we analyze various cost functions that measure the performance of the teams. To support our study, we discuss the importance of the dynamic nature of the network and propose dynamic evaluation functions by incorporating the time interval. We tackle this problem by employing Multi-objective Cultural Algorithms.
Addition to this, identifying suitable individuals for future interaction of teams in a dynamic network is another significant problem. In this study, we examine the evolving pattern of vertices of a given network G over time. We introduce a time-varying score function to evaluate the activeness of vertices that uses the number of new interactions and the number of frequent interactions with existing connections. To support our study, we consider two additional objective functions in our model: a weighted shortest distance between any two nodes and a weighted common neighbor index. We used Multi-Layer Perceptron (MLP), a deep learning architecture as a classifier to predict the link formation with an expert in the future and define our model as a binary classification problem.
Keywords: Social Network Analysis, Team formation, Link Prediction, Cultural Algorithms, Deep Learning
Internal Reader: Dr. Saeed Samet
Internal Reader: Dr. Sherif Saad Ahmed
External Reader: Dr. Kathryn Pfaff
Advisor (s): Dr. Ziad Kobti and Dr. Mehdi Kargar
PhD Seminar Announcement
5113 Lambton Tower, 401 Sunset Avenue, Windsor ON, N9B 3P4, (519)253-3000 Ext. 3716 firstname.lastname@example.org