Community Detection in Social Networks

The rise of the Internet has brought people closer. The number of interactions between people across the globe has gone substantially up due to social awareness, the advancements of the technology, and digital interaction. Social networking sites have built societies, communities virtually. Often these societies are displayed as a network of nodes depicting people and edges depicting relationships, links. This is a good and e cient way to store, model and represent systems which have a complex and rich information. Towards that goal we need to nd e ective, quick methods to analyze social networks. One of the possible solution is community detection. The community detection deals with nding clusters, groups in a network. Detecting such communities is very important in many elds in order to understand and extract the information from complex systems. The problem is very hard and has been studied extensively for the past few years. With this project, we will de ne the problem, study existing methods, propose new methods, and experimentally evaluate them using synthetic and real datasets. Additionally, we will describe applications to smart city communities and challenges that have to be resolved

Analysis of the Performance of Selected Large-Cap Mutual Funds of India

Mutual funds are considered the most accessible and simplest investment avenue for investors. As the investment focus is not only on one particular sector but on many other sectors as well. The money pooled from the investors is invested in a diversified portfolio thus giving collective returns to the investors. This research study focuses on the performance analysis of the open-ended scheme which focuses primarily on the equity large-cap funds. For the research study, 27 equity large-cap mutual funds were selected from India. The study aims to examine the performance of selected large-cap mutual funds and to identify which schemes to invest in relation to the risk involved and the amount of return obtained from each of them. The data obtained for research was secondary and the analysis was done by using various statistical tools and techniques like beta, Sharpe ratio, Jensen ratio, Treynor ratio, and ordinary least square regression (OLS). The findings of the study highlighted that there is a significant relation between risk and return.  Results further depicted that Axis Bluechip Fund - Direct Plan-Growth had a beta value of more than 1.0 indicating that the underlying stock is more volatile and the R-square value explained that all independent variables explain 92.35% of returns (dependent variable)

Viral Marketing for Smart Cities: Influencers in Social Network Communities

Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources more efficiently. Our focus in this paper is how we can adapt commercial and viral marketing techniques to smart city systems to influence the behavior, opinion and choices of citizens in order to improve their well being and that of the whole society as well as predicting future trends and events

Correlation between maternal serum biochemical markers with karyotyping for prenatal screening of foetal chromosomal abnormalities

Background: Prenatal screening for chromosomal abnormalities can be done by biochemical screening tests like dual marker test (DMT), triple marker test (TMT) and quadruple marker test (QMT). It is important to identify ideal screening test among them which best correlates with result of karyotyping which is confirmatory test of foetal chromosomal abnormalities. This helps to decrease need for invasive prenatal tests for foetal karyotyping. This study aims to evaluate sensitivity, specificity, diagnostic accuracy and correlation of DMT, TMT, and QMT with results of karyotyping.Methods: Retrospective observational study was conducted in tertiary care maternity hospital over one year- 1st January 2015 to 31st December 2015. Women with singleton pregnancy undergoing DMT, TMT or QMT were included.Results: Of the 529 women screened by biochemical marker tests, 462 (87.33%) were screen negative and 67 (12.66%) women were screen positive. In 56 women, it was false positive (83.58%) and in 11 women true positive (16.41%). In 461 women the test results were true negative (99.78%), but in one case, result was false negative (0.21%).  3/11 (27.27%)women with foetal chromosomal abnormalities were primigravidae. 4/11 (36.36%)women were below 35 years. DMT and QMT had higher sensitivity (both 100%) and specificity (90.00% and 93.18% respectively) than TMT (sensitivity 80% and specificity 82.61%). Positive likelihood ratio (LR+) was 1.00 in DMT. Diagnostic odds ratio was highest with DMT (DOR=115.11) and best correlated with karyotyping results (coefficient of correlation 0.4).Conclusions: Universal screening of antenatal women, irrespective of their age and parity is suggested. DMT has highest diagnostic value and best correlation with the results of karyotyping. Hence the dual marker test can be considered to be better test for screening for aneuploidy

Foetal arrhythmias: an enigma of the missed beats

Background: The synchronised depolarization and repolarisation of the atria and ventricles is achieved by specialised cardiac cells that generate an electrical impulse and propagate it along the conducting system in the myocardial tissue, leading to rhythmic activity of the atria and ventricles. Abnormalities of these rhythms lead to foetal arrhythmia.Methods: A retrospective observational study was conducted in a tertiary care hospital over period of one year to study the course and perinatal outcome of women with foetal arrhythmias.Results: The confinement in the study period was N=4302, of which 207(4.81%) women had foetal congenital malformations. Among them 21(0.48%) women had foetal cardiovascular abnormalities and 6(0.14%) women had foetal arrhythmias. There were two cases of maternal primary Sjogrens syndrome: one with foetal 2nddegree atrioventricular (AV) heart block with 2:1 AV conduction and another with foetal 3rd degree or complete heart block. Others were a case of Atrial premature contractions with compensatory pause, a case of Supraventricular tachycardia, one case of sinus tachycardia with non-immune hydrops and a case of foetal bradyarrhythmia with regular ectopic beats in a case of complex congenital heart disease. The course of these pregnancies, treatment options and perinatal outcome was studied.Conclusions: Foetal echocardiography and Doppler are effective tools for detection and monitoring of foetal arrhythmias. Early and correct diagnoses of arrhythmias help in management of foetal arrhythmias and multidisciplinary team-based approach gives optimum treatment results

Community Detection via Neighborhood Overlap and Spanning Tree Computations

Most social networks of today are populated with several millions of active users, while the most popular of them accommodate way more than one billion. Analyzing such huge complex networks has become particularly demanding in computational terms. A task of paramount importance for understanding the structure of social networks as well as of many other real-world systems is to identify communities, that is, sets of nodes that are more densely connected to each other than to other nodes of the network. In this paper we propose two algorithms for community detection in networks, by employing the neighborhood overlap metric and appropriate spanning tree computations

Efficient gate system operations for a multipurpose port using simulation optimization

National Research Foundation (NRF) Singapore under its Corp Lab @ University schem

Design and implementation of decision support for traffic management at multipurpose port gates

National Research Foundation (NRF) Singapore under Corp Lab @ University; Fujitsu Lt

SINGLE SAMPLING PLAN FOR VARIABLES UNDER MEASUREMENT ERROR FOR NON-NORMAL DISTRIBUTION

In this paper, the single sampling plan for variables under measurement error for non-normal distributions represented by the first four terms of an Edgeworth series is studied for known  case. The effect of using the normal theory sampling plan in a non-normal situation is studied by obtaining the distorted errors of the first and second kind. As one will be interested in having a suitable sampling plan under measurement error for non-normal variables, the values of n and k are determined. Keywords: Non-Normal distribution, Edgeworth series, Measurement error, Single Sampling Pla