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97 articles for “Social Networking.”
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Node Deployment Techniques for Link Prediction in Heterogeneous Social Networks
Abstract: AbstractThis research analyses the coverage problem in heterogeneous social network system with two types of sensor nodes having different sensing ranges. The Particle Swarm Optimization (PSO) algorithm is implemented for coverage optimization in heterogeneous network system. This algorithm is used for finding the optimal deployment of the sensor nodes by using specific fitness function. The performance of sensor nodes after running PSO algorithm is evaluated by using Euclidean distances for …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Analysis on Link Prediction Algorithm for Social Network
Abstract: AbstractThe paper presents the analysis on link prediction algorithm for social network. Link prediction is one of the essential problems in computational social science. A principally general means to predict subsistence of unnoticed links is via structural similarity metrics, such as the number of common neighbors; node pairs with higher similarity are thus deemed more expected to be linked. There have been many algorithms to solve for the link prediction …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 1–7 Read article
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Reducing Of Misinformation InflunceIn Online Social Network Using Heuristic Greedy Algorithm
Abstract: Now a day we use social media to communicate and share the information throughout the world. Many of us depend on this social media now a days everything is available here, once we access the media, we lots of information about our search, there is chances of have misinformation also. The authenticity of information content is weakened, and all kinds of misinformation depend on social media to spread rapidly. Network …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 24–30 Read article
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Centrality in Social Network Analysis: A Comprehensive Review for Students
Abstract: Centrality, a fundamental concept in social network analysis (SNA), plays a pivotal role in understanding the structural dynamics and information flow within networks. This studyoffers an extensive examination of centrality metrics and their utilization in diverse fields. We begin by defining centrality and exploring its significance in characterizing the importance of nodes within a network. Subsequently, we delve into the literature review by different authors and most employed centrality metrics, …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 1–8 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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An Intersection in the Age of Online Social Networking with Dental Professionalism—A Survey
Abstract: Background: Computers have become an integral component of Dentistry finding its application in patient care and Dental education. Objectives: The present study was conducted to assess the value and measures for the utilization of Internet services among Dental professionals practicing at Vellore, India. Introduction: Humans are living in the era of online technology in their whole lives. They prefer new media technologies and online learning. Method: In this analytical, cross-sectional …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 14–23 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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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
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The Role of Electronic Social Media in Electoral Campaigning of Indian General Elections 2014
Abstract: Internet and digital technologies have revolutionized communication. With the increasing proliferation of internet, electronic social media is emerging as a potential tool for communication. It provides direct channel for communicating, connecting and engaging with public. Social media offers innovative opportunities for political leaders, institutions and the public to interact in a two way communication process with each other. It is becoming increasingly popular with politicians and their organizations as a …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 28–33 Read article
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Impact of Social Media on Society
Abstract: Social media are applications that enable people to interact with each other and build social networks that increase social capital social media are applications that enable people to interact with each other and build social networks that increase social capital social media basically allows people to interact with one another and strengthen social networks, which increases social capital. Social Media is a good solution with a very brilliant prospect with …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 15–23 Read article
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Secured Privacy Framework
Abstract: Online social networks (OSNs) have become mainstream way of sharing media and information among friends, online. With ever increasing number of internet users, and in turn OSN users, there is an increase in risks related to user’s privacy and security. There are three core privacy issues in today’s OSNs, such as not asking for user’s consent, not able to categories data or friends on the basis of certain factors, and …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 32–37 Read article
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Data Security System for a Bank using Hybrid Algorithm
Abstract: A secure security system is critical for a secure banking system. A secure banking system is required to prevent the theft of sensitive data from banks and clients. In today's world, exchanging vital information over the internet is extremely simple and quick. The easier it is to exchange information, the easier it is for the hacker to steal our information .As a result, a strong security system is required. To …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 25–36 Read article
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Spirituality-Based Psychotherapies in Relation to Social Media Addiction: A Review
Abstract: Social media addiction has become a pressing concern, characterized by compulsive usage that significantly impacts mental health. In the digital age, where the boundaries between the virtual and the real have blurred, social networking sites (SNS) have emerged as pivotal platforms that shape the lives of young people. Most people's life now revolve around social networking sites, particularly those of teens. Excessive engagement with social media can have adverse effects …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 39–47 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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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Prevalence of Frailty and Its Association with Information and Communication Technologies Use among Older Adults
Abstract: Frailty phenotype (FP) refers to a clinical syndrome characterized by a lack of effective response to stressors due to a decline in physiological reserve. The presence of FP is associated with negative outcomes in elders, like disability. Information and communication technology (ICT) is defined as a unit of technology that an individual can use to produce, store, and communicate information, e.g., mobile phones (MP) and internet browsing. The aim of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 40–48 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article