Search Results - "Mohammadiani, Rojiar Pir"

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  1. 1

    Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding by Berahmand, Kamal, Nasiri, Elahe, Pir mohammadiani, Rojiar, Li, Yuefeng

    Published in Computers in biology and medicine (01-11-2021)
    “…The identification of protein complexes in protein-protein interaction networks is the most fundamental and essential problem for revealing the underlying…”
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    Journal Article
  2. 2

    The credibility assessment of Twitter/X users based organization objectives by heterogeneous resources in big data life cycle by Dehghan, Sogand, Pir Mohammadiani, Rojiar, Mohammadi, Shahriar

    Published in Computers in human behavior (01-01-2025)
    “…Social network data, such as Twitter/X, is of Big Social Data type. Big social data describes people's social behaviors and interactions. They have high…”
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    Journal Article
  3. 3

    Unsupervised feature selection using orthogonal encoder-decoder factorization by Mozafari, Maryam, Seyedi, Seyed Amjad, Pir Mohammadiani, Rojiar, Akhlaghian Tab, Fardin

    Published in Information sciences (01-03-2024)
    “…Unsupervised feature selection (UFS) is a fundamental task in machine learning and data analysis, aimed at identifying a subset of non-redundant and relevant…”
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    Journal Article
  4. 4

    Understanding the relationship strengths in users' activities, review helpfulness and influence by Pir Mohammadiani, Rojiar, Mohammadi, Shahriar, Malik, Zaki

    Published in Computers in human behavior (01-10-2017)
    “…The activities of users on social media lead to the establishment of different types of relationships with variable strengths. This study aims to investigate…”
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    Journal Article
  5. 5

    Diverse joint nonnegative matrix tri-factorization for attributed graph clustering by Mohammadi, Arina, Seyedi, Seyed Amjad, Akhlaghian Tab, Fardin, Pir Mohammadiani, Rojiar

    Published in Applied soft computing (01-10-2024)
    “…Cluster analysis of attributed graphs is a demanding and challenging task in the analysis of network-structured data. It involves learning node representation…”
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    Journal Article
  6. 6

    A method based on k-shell decomposition to identify influential nodes in complex networks by HamaKarim, Bakhtyar Rafeeq, Mohammadiani, Rojiar Pir, Sheikhahmadi, Amir, Hamakarim, Bryar Rafiq, Bahrami, Mehri

    Published in The Journal of supercomputing (01-09-2023)
    “…Identifying the most influential nodes in complex networks is an open research issue, which can be divided into two sub-problems: identifying and ranking the…”
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    Journal Article
  7. 7

    A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix by Berahmand, Kamal, Mohammadi, Mehrnoush, Faroughi, Azadeh, Mohammadiani, Rojiar Pir

    Published in Cluster computing (01-04-2022)
    “…The most basic and significant issue in complex network analysis is community detection, which is a branch of machine learning. Most current community…”
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    Journal Article
  8. 8

    Optimal stochastic self-scheduling of a water-energy virtual power plant considering data clustering and multiple storage systems by Rezaei, Navid, Pezhmani, Yasin, Mohammadiani, Rojiar Pir

    Published in Journal of energy storage (15-08-2023)
    “…As the world moves towards the integration of different water and energy resources, as well as storage systems, it is necessary to develop the conventional…”
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    Journal Article
  9. 9

    Social Media Value Creation Practices and Interactivity of Electronic Word of Mouth Systems by Rojiar pir Mohammadiani, Hossein Abbasimehrb, Zaki Malikc

    “…The main drivers of value creation in a ‘brand community’ are social networking, community engagement, impression management, and brand use. Marketers are…”
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    Journal Article
  10. 10

    A Model for Investigation of the Intensity of Trust Relationships' Strength among Users in Social Media by rojiar pir mohammadiani, Shahriar Mohammadi

    “…Although trust relations among users in social media are the evidence of social influence, but the level of this impact depends on strength of trust among…”
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    Journal Article
  11. 11

    Inferring the Relationship between Users' Personality and their image on Flicker using deep learning and clustering by Mohammadiani, Rojiar Pir, Sadeghi, Hamid

    “…Most of the social media such as Instagram/Facebook/Flicker/Twitter allow users to express themselves through the post content, like content and profile…”
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    Conference Proceeding