Papers by Dr Santosh Phulari
arXiv (Cornell University), Feb 5, 2010
Online communities are the gatherings of like-minded people, brought together in cyberspace by sh... more Online communities are the gatherings of like-minded people, brought together in cyberspace by shared interests. The shared interest has hidden social capital aspects and can be of bridging or bonding type .Creating such communities is not a big challenge but sustaining member's participation is. This study examines the formation and maintenance of social capital in social network sites. In addition to assessing bonding and bridging social capital, we explore a dimension of social capital that assesses one's ability to stay connected with members of a previously inhabited community, which we call maintained social capital. Such dimension is enacted here in terms of Hypothesis.
International Journal of Current Microbiology and Applied Sciences, 2020
Performance Analysis of Selected Data Mining Algorithms on Social Network Data and Discovery of User Latent Behavior
Advances in Intelligent Systems and Computing, 2015
This paper is summery for experimental research work carried out on internet usage activities of ... more This paper is summery for experimental research work carried out on internet usage activities of students on social network sites. The summarized research work has proposed a novel and efficient method for discovery of user latent behavior from the student’s datasets. A comparison with existing standard method is also presented which show that the proposed approach is better on the basis of accuracy, error rates, time sharing etc. features.
New perspective for tree searching algorithms: A simple proposition
2010 2nd International Conference on Computer Technology and Development, 2010
This study propose to extend performance analysis of mainly Brute force and Heuristics algorithms... more This study propose to extend performance analysis of mainly Brute force and Heuristics algorithms on tree search problems. The most important goal is to look for optimization by punching holes in existing theory. The outcome will give a new dimension to traditional values like formulation of intelligent and speculative searches with improvement in time and space complexities. A series of
Since the dawn of computing, the sorting problem has attracted a great deal of research. In past,... more Since the dawn of computing, the sorting problem has attracted a great deal of research. In past, many researchers have attempted to optimize it properly using empirical analysis. We have investigated the complexity values researchers have obtained and observed that there is scope for fine tuning in present context. Strong evidence to that effect is also presented. We aim to provide a useful and comprehensive note to researcher about how complexity aspects of sorting algorithms can be best analyzed. It is also intended current researchers to think about whether their own work might be improved by a suggestive fine tuning. Our work is based on the knowledge learned after literature review of experimentation, survey paper analysis being carried out for the performance improvements of sorting algorithms. Although written from the perspective of a theoretical computer scientist, it is intended to be of use to researchers from all fields who want to study sorting algorithms rigorously.
Global journal of computer science and technology, 2012
APRIORI algorithm is a popular data mining technique used for extracting hidden patterns from dat... more APRIORI algorithm is a popular data mining technique used for extracting hidden patterns from data. This paper highlights practical demonstration of this algorithm for association rule mining over a survey data set of students related to social network usage. We concluded with discussions on the number of research observations including new rules generated during the process.
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Papers by Dr Santosh Phulari