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48 articles for “online social network”
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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HIDDEN MARKOV MODEL FOR DETECTION AND PREVENTION OF SQL INJECTION ATTACKS
Abstract: Web application have become un avoidable part in day to day life. Online activities such as banking, ecommerce, social networking etc., and these application stored in a back end of the database. It is very sensitive and confidential data, as because it might be get attacked. So security of Web database becomes an important thing. Most of the existing system have drawback such as it take more resources and times, …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 15–19 Read article
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Detection of Cyberbullying on Social Media Using Machine Learning
Abstract: Online harassment disturbance by cyberbullying has grave repercussions. The majority of social networks have it in textual format and it exists in various forms. It is undeniable that more than 1.96 billion people are affected by social interactions online. However, as we move into the next decade, there are significant challenges to be faced in regulating user behaviour. The prevalence of harassment, bullying, and victimization has become a serious problem …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Use of Online Social Media for Emergency Response and Recovery
Abstract: In this age, the information technology sector has improvised so much that without it; it seems that we are handicapped. Nowadays, there are certain measures, which have been taken for the solution of everyday life emergent situations. The rescue brigade, fire brigade etc., are some of the services provided by a nation. These services are considered as an important factor in the development and progress of a country. Today, in …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 2, 2016 · pp. 15–20 Read article
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Digital Forensics: Fundamentals and Awareness to Society against Cybercrime
Abstract: This study presents the brief about the digital forensics which is mainly required to the non-technical people for general knowledge. Through this, people will know the role and importance of Digital Forensics. The main purpose is to aware people against hacking, stealing their information, fake email, e-payment fraud, fake messages and call on social networking such as Facebook, Instagram, LinkedIn and other online apps available for chatting and entertainment purposes. …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 2, 2022 · pp. 36–40 Read article
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A Study of Factors Affecting Online Shopping Behaviour
Abstract: The purpose of this study is to analyze factors affecting on online shopping behaviour. The analysis is done in terms of understanding the website features such as payment gateways, credibility, privacy and security issues, social networking integration, website design and customer friendly approach that are a necessity for the online shoppers. The research paper also reveals the factors that discourage the customers from shopping online and factors that motivate the …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 1, 2018 · pp. 4–9 Read article
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Insights to Big Data and Hadoop: An Introductory Review
Abstract: AbstractIn today’s era, the availability of a plethora of online products like websites, web-portals, e-commerce sites, social-networking sites, etc. give rise to a collection of extremely large and complex dataset known as Big Data. It has emerged with a huge set of unknown prospects and challenges to deal with gigantic amount of data. Big Data has been extremely popular in current fast paced technologically advancing world and has become the …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 69–75 Read article
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Terrorist Network Mining
Abstract: AbstractTerrorist activities worldwide has moved toward the advancement of different high-finished strategies for dissecting psychological militant gatherings and disrupting government systems. Existing examination found that social network analysis (SNA) is a standout amongst the best and persistent technique for countering fear mongering in interpersonal organizations. In this paper our approach is divided in two phases, in Phase 1, we apply shuffled frog leap algorithm (SFLA) for SNA in order to …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 42–52 Read article
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Opinion Mining through Enhanced Lexicon Approach
Abstract: AbstractThe World Wide Web’s rapid growth has enhanced online communication. One of the approaches to putting user views is the use of social networking sites. The user’s opinion needs to be analyzed by studying user’s input text using techniques of machine learning with subjectivity, emotion, sentiment analysis or polarity calculation. Most of the existing work in the field of opinion mining has largely focused on identifying sentiment polarity as positive, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 8–15 Read article
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BUILDING A SMART CHATTING PLATFORM FOR SOCIAL NETWORKING:”GUFTGU”
Abstract: This research paper details the development of a location-based social networking application with a focus on offline first functionality. Guftgu is a communication application developed using React Native for the frontend and Node.js for the backend. It facilitates seamless, real-time conversations between strangers while prioritizing user privacy through complete anonymity. The platform’s intuitive interface, cross-platform compatibility, and efficient backend architecture enable smooth performance and user engagement. Designed with privacy at …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 32–37 Read article
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Role of WhatsApp Groups in the Effective Delivery of Bangalore University Library Services to their Users: A Study
Abstract: Information Communication Technology (ICT) plays an essential role in transmitting ideas, thoughts, and information. Social networking websites are a great example of a communication network that is a social structure that allows users to interact and collaborate with other users. WhatsApp is a free quick messenger app that allows users to send text messages and multimedia files. In this paper, an online survey was conducted to measure the role and …
Published in Journal of Advancements in Library Sciences · Vol. 8, Issue 2, 2021 · pp. 20–28 Read article
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Personal Portfolio Website: A Tool for Professionals to Present their Work and Skills
Abstract: This work delves into the burgeoning realm of private portfolio websites, exploring the motivations and aspirations behind the efforts of experts to curate their virtual presence. In an era where personal branding and online visibility are paramount, these websites function as more than mere repositories of work; they are dynamic systems for self-expression, professional growth, and networking. Through a comprehensive evaluation of design trends and user experiences, this study highlights …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
Abstract: The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 14–20 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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An Introduction to Social Media Tools for Academic Libraries
Abstract: AbstractAs the digital environment continues to become more pervasive in the libraries, academic libraries are also adapting to ensure that their services remain relevant to users’ needs and requirements. The academic libraries are transforming their spaces into new environments with the information needs of the 21st century users. Now-a-days libraries are using social media for providing reference transactions, build online communities, receiving and resolving queries and complaints of their clientele. …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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Navigating the Cyber World: An In-depth Analysis of Internet Usage, Risks, and Influences on Adolescents
Abstract: This study surveyed aged 10 years and up to learn more about their online habits. In order to learn more about the online habits of this group, the survey asked questions regarding the frequency, duration, and motivations for respondents' time spent online. The study also looked at high-risk behaviours like excessive screen time, increased social media use, and extended gaming sessions as possible indicators of problematic internet use. Indicators of …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 19–25 Read article
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Change in Education Scenario Due to COVID
Abstract: It is the research for 320 million learners ofIndia that have been affected enormously, and this situation is raised by the logical decision of lockdown due to the COVID-19 pandemic. Equity of education for all the learners has vanished as institutions and organizations halted in which educational institutions like schools, colleges, and coaching also played a vital role. Attack of COVID-19 has been called destructive for the world as well …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 1–9 Read article
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Generation of Business Intelligence by Sentimental Analysis through Big Data and Hadoop
Abstract: AbstractOnline networking gives clients a platform to discuss successfully with companions, family, and partners, and gives them a stage to discuss their top pick (and minimum most loved brands). This "unstructured" discussion can provide organizations crucial understanding into how buyers see their image, and enable them to effectively settle on business choices to keep up their horizons. Fast in the volume of conclusion, rich online networking on the web has …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 20–25 Read article
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A Comparative Study of SentiWordNet and Other Lexicons for Social Media Sentiment Analysis
Abstract: Another name for opinion mining is "Sentiment Analysis" (SA). Sentiment Analysis is a text classification algorithm that consistently advances the topic of study. Sentiment Analysis, or categorizing opinions into positive or negative categories, is indeed the primary goal of information extraction. Both information producers and consumers face significant challenges because of the explosion of information available online. For a business to be successful, it is crucial to comprehend the thoughts, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 24–29 Read article
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Impact ofSocial Mediaon Learning Motivation
Abstract: The impact of social networking sites on learners’ intrinsic motivation and consequently their academic achievement in the ICT era cannot be overstated. The social media services present seemingly unlimited content sharing and communication opportunities as also they are perilous for students.Effects of usage patterns of social media on the learning motivation in the subject of computer education/ICT of Bachelor of Education students of Haryana state in India have been reported …
Published in Current Trends in Information Technology · Vol. 11, Issue 1, 2021 · pp. 20–25 Read article