مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

171
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Seminar Paper

Title

DINGA: DISCOVERY OF IMPORTANT NODES IN SOCIAL NETWORKS USING GENETIC ALGORITHMS

Pages

  -

Abstract

 NOWADAYS, THE DISCOVERY OF IMPORTANT NODES IS AMONG THE MAIN CONCERNS OF SOCIAL NETWORKS ANALYSIS. DISCOVERING IMPORTANT NODES HAS BEEN DONE FOR WIDE RANGE OF PURPOSES; FROM DISCOVERING LEADERS IN TERRORISTIC NETWORKS TO DISCOVERING INFLUENTIAL PEOPLE IN ADVERTISEMENT NETWORKS. SO FAR DIFFERENT CRITERIA HAVE BEEN INTRODUCED FOR DISCOVERY OF IMPORTANT NODES. DUE TO THE DIVERSITY OF GRAPH STRUCTURES FROM ON SIDE, AND GENERALITY OF PREVIOUS METHODS IN OTHER SIDE THE ACCURACY OF PREVIOUS METHODS IN DISCOVERING THE IMPORTANT NODES IS VERY LIMITED. IN THIS PAPER, A SYSTEM CALLED DINGA FOR DISCOVERING OF IMPORTANT NODES IN SOCIAL NETWORKS WITH AN UNKNOWN STRUCTURE HAS BEEN PROPOSED. OUR PROPOSED SYSTEM DISCOVERS THE IMPORTANT NODES IN SOCIAL NETWORKS BY EMPLOYING A WEIGHTED COMBINATION OF EIGHT INFORMATIVE CRITERIA OF IMPORTANT NODES USING GENETIC ALGORITHM. THE EFFICIENCY OF THE PROPOSED SOLUTION HAS BEEN INVESTIGATED THROUGH SIMULATION ON THE ENRON E-MAIL NETWORK. OUR PROPOSED METHOD OUTPERFORMS THE PREVIOUS METHODS, IN ADDITION TO RANDOM WEIGHT LEARNER, 21% WITH RESPECT TO ACCURACY.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Kamali, Hasti, RAHMANI, HOSSEIN, & SHAH HOSSEINI, HAMED. (2018). DINGA: DISCOVERY OF IMPORTANT NODES IN SOCIAL NETWORKS USING GENETIC ALGORITHMS. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/948828/en

    Vancouver: Copy

    Kamali Hasti, RAHMANI HOSSEIN, SHAH HOSSEINI HAMED. DINGA: DISCOVERY OF IMPORTANT NODES IN SOCIAL NETWORKS USING GENETIC ALGORITHMS. 2018. Available from: https://sid.ir/paper/948828/en

    IEEE: Copy

    Hasti Kamali, HOSSEIN RAHMANI, and HAMED SHAH HOSSEINI, “DINGA: DISCOVERY OF IMPORTANT NODES IN SOCIAL NETWORKS USING GENETIC ALGORITHMS,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2018, [Online]. Available: https://sid.ir/paper/948828/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    File Not Exists.
    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button