Search Results - social research algorithm

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  1. 1

    Exploring nexus of social media algorithms, content creators, and gender bias: a systematic literature review by Lou, Shijun, Adzharuddin, Nor Azura, Syed Zainudin, Sharifah Sofiah, Omar, Siti Zobidah

    Published 2024
    “…The chosen studies, focusing on different social media platforms and algorithmic features, reflect the varied interests of researchers. …”
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    Article
  2. 2

    A Social Based Model For Genetic Algorithms. by AL-Madi, Nagham Azmi, Khader, Ahamad Tajudin

    Published 2007
    “…Therefore, recent researches have employed structured populations, in order to eliminate randomness, such as island models, cellular model, multinational evolutionary algorithms, etc. …”
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    Conference or Workshop Item
  3. 3

    Bot detection using machine learning algorithms on social media platforms by Gannarapu, Sainath, Dawoud, Ahmed, Ali, Rasha S., Alwan, Ali Amer

    Published 2021
    “…The research uses the bot detection technique based on machine learning algorithms. …”
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    Proceeding Paper
  4. 4

    SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM by MAHMOUD, MOHAMED YAHYA

    Published 2011
    “…This report is concerned with the opinion mining and sentiment analysis in social networks especially Twitter, it aims to give a brief insight into the ongoing research in sentiment analysis algorithms and techniques, and graphical representation of the statistical results by applying the sentiment analysis on social networks. …”
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    Final Year Project
  5. 5

    A novel state space reduction algorithm for team formation in social networks by Rehman, Muhammad Zubair, Kamal Zuhairi, Zamli, Almutairi, Mubarak, Chiroma, Haruna, Aamir, Muhammad, Kader, Md. Abdul, Nazri, Mohd. Nawi

    Published 2021
    “…Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. …”
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    Article
  6. 6

    What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

    Published 2024
    “…Introduction: The role of social media in providing fitness-related health information has been widely discussed; however, there is a notable lack of research on fitness-related health information behaviors among youth within the social media context. …”
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    Article
  7. 7

    Comparison of anonymous tracker algorithms / Nur Shafikah Mat Daud by Mat Daud, Nur Shafikah

    Published 2014
    “…This research hopes to give significance to solve the problems that occur due by anonymous in social networking.…”
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    Thesis
  8. 8

    Suicide and self-harm prediction based on social media data using machine learning algorithms by Abdulrazak Yahya, Saleh, Fadzlyn Nasrini, Mostapa

    Published 2023
    “…In combined with robust machine learning algorithms, social networking data may provide a potential path ahead. …”
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    Article
  9. 9

    The future of social entrepreneurship: modelling and predicting social impact by Nur Azreen Zulkefly, Norjihan Abdul Ghani, Chin, Pei Yee, Suraya Hamid, Nor Aniza Abdullah

    Published 2021
    “…Research limitations/implications: Although there are three categories of social entrepreneurship impact, this research only focuses on social impact. …”
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    Article
  10. 10

    The use of people rank technique for data dissemination in opportunistic network by Donna, Christen George

    Published 2015
    “…In this paper, we are going to develop on one of the forwarding algorithm, People Rank algorithm, which is a social-based forwarding algorithm. …”
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    Final Year Project Report / IMRAD
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    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali by Mohd Razali, Farah Nabila

    Published 2025
    “…By analyzing data from social media, primarily Twitter, the research identifies key challenges in marriages, including communication breakdowns, financial stress, and infidelity. …”
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    Thesis
  13. 13

    Optimised content-social based features for fake news detection in social media using text clustering approach by Yahya, Adnan Hussein Ali

    Published 2025
    “…Ultimately, this research concludes that the developed fake news detection model based on the designed content-social-based features can effectively detect fake news in real-world news…”
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    Thesis
  14. 14

    A study on personalized recommender system using social media by Aishnivya, Balamurugan

    Published 2020
    “…This paper studies personalised recommender system using social media. The problem that is discussed the research study is information overload which is a hot topic of current world. …”
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    Final Year Project / Dissertation / Thesis
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    Verification correctness properties for aggregation behavior of swarm robotics system using SPIN model checker / Siti Shafinaz Ali by Ali, Siti Shafinaz

    Published 2015
    “…This research work focused on a developed swarm algorithm aimed at swarm aggregation. …”
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    Thesis
  17. 17

    A Multi-tier Model and Filtering Approach to Detect Fake News Using Machine Learning Algorithms by Yu, Chiung Chang, A Hamid, Isredza Rahmi, Abdullah, Zubaile, Kipli, Kuryati, Amnur, Hidra

    Published 2024
    “…This research could give researchers an approach for fake news detection on different social platforms and feature-based.…”
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    Article
  18. 18

    Influence maximisation towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

    Published 2018
    “…Influence maximisation has been an area of active research in recent years.This study aims to extend the fundamental influence maximisation problem (IMP) with respect to a set of target users on a social network.It is important to aim at the target users to speed up the rate of information diffusion and reduce the information diffusion cost.In doing so, the MITU algorithm was formulated and compared with state of the art algorithms.Publicly available datasets were used in validating the proposed algorithm.It was found that the MITU identified all target nodes while significantly lowering the information diffusion cost function (IDCF) by up to 79%.The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times.Furthermore, the random influencer selection identifies target nodes better than the betweenness and PageRank centralities.The findings could help organisations to reach target users on social media in the shortest cycle.…”
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    Article
  19. 19

    Influence maximization towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

    Published 2018
    “…In doing so, the MITU algorithm was formulated and compared with state of the art algorithms. …”
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    Article
  20. 20

    Analytical method for forensic investigation of social networking applications on smartphones by Dezfouli, Farhood Norouzizadeh

    Published 2016
    “…The identified patterns are then used to design an algorithm for detecting social networking data remnants automatically. …”
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    Thesis