Social media communication content has gained a lot of interest in e-commerce literature. The present research note explores the scope of social media communication content across content source and levels of analysis. Based on a comprehensive review of 36 empirical papers spanning a decade...

Dietary preferences are linked to human life and region culture. With the rapid development of the Internet, people are becoming frequently interested in sharing their opinions about dietary in social media. This article aims to mine social media users' dietary preferences and their evolutions...

It is observed that none of the academic institutes in India contributes for the development of SDI model at national level. Some of the developed models are not highly encouraging with respect to technical, organisational and institutional aspects. Non-availability of a standard functional SDI...

The potential attack surface of a nation is large and no single source of cyber security data provides all the required information to accurately describe the cyber security readiness of a nation. There are a variety of specialised data sources available to assess the state of a nation in key...

This article describes how machine learning (ML) algorithms are very useful for analysis of data and finding some meaningful information out of them, which could be used in various other applications. In the last few years, an explosive growth has been seen in the dimension and structure of...

The purpose of this study was to compare different students' backgrounds and two different didactic methodologies to profitably teach computer animation in Italian schools of design and engineering. Teachers and instructors have long been engaged in discussions to define effective curricula for...

Nowadays, the heavy reliance on computer networks necessitates minimizing outage time, increasing the availability of services, and preventing network related problems. Such realization requires continuous monitoring and observation. This is not a trivial task. Thus, automatic network monitoring...

Logging is an important yet tough decision for OSS developers. Machine-learning models are useful in improving several steps of OSS development, including logging. Several recent studies propose machine-learning models to predict logged code construct. The prediction performances of these models...

With growing concern for security, the researchers began with the quantitative modeling of vulnerabilities termed as vulnerability discovery models (VDM). These models aim at finding the trend of vulnerability discovery with time and facilitate the developers in patch management, optimal...

Drawing on the theoretical lens of communication patterns in organizational theory, this research analyzed the longitudinal success of open source software (OSS) projects by employing social network analysis method, based on extensive analyses of empirical data. This study is expected to provide...