Call for Papers:Vol.11 Issue.2

Submission
Last date		 28-Apr-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks
PaperId: :  3410
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 6 2016
DUI:    16.0415/IJARIIE-3410
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Darshan BiyaniSKN-SITS, LONAVALA
Balaji LaseSKN-SITS, LONAVALA
Sagar SawarkarSKN-SITS, LONAVALA
Vaibhav UmaleSKN-SITS, LONAVALA

Abstract

Information Technology
Cross-Platform, Social Media Network, Anonymous Identical Users, Friend Relationship, User Identification
The last few years have witnessed the emergence and evolution of a vibrant research stream on a large variety of online Social Media Network (SMN) platforms. Recognizing anonymous, yet identical users among multiple SMNs is still an intractable problem. Clearly, cross-platform exploration may help solve many problems in social computing in both theory and applications. Since public profiles can be duplicated and easily impersonated by users with different purposes, most current user identification resolutions, which mainly focus on text mining of users’ public profiles, are fragile. Some studies have attempted to match users based on the location and timing of user content as well as writing style. However, the locations are sparse in the majority of SMNs, and writing style is difficult to discern from the short sentences of leading SMNs such as S in a Microblog and Twitter. Moreover, since online SMNs are quite symmetric, existing user identification schemes based on network structure are not effective. The real-world friend cycle is highly individual and virtually no two users share a congruent friend cycle. Therefore, it is more accurate to use a friendship structure to analyse cross-platform SMNs. Since identical users tend to set up partial similar friendship structures in different SMNs, we proposed the Friend Relationship-Based User Identification (FRUI) algorithm. FRUI calculates a match degree for all candidate User Matched Pairs (UMPs), and only UMPs with top ranks are considered as identical users. We also developed two propositions to improve the efficiency of the algorithm. Results of extensive experiments demonstrate that FRUI performs much better than current network structure-based algorithms.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. "Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 6 2016 Page 869-873
MLA Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. "Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks." International Journal Of Advance Research And Innovative Ideas In Education 2.6(2016) : 869-873.
APA Darshan Biyani, Balaji Lase, Sagar Sawarkar, & Vaibhav Umale. (2016). Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks. International Journal Of Advance Research And Innovative Ideas In Education, 2(6), 869-873.
Chicago Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. "Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 6 (2016) : 869-873.
Oxford Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. 'Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, 2016, p. 869-873. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Survey_Paper_on_Detecting_Unknown_or_Fake_User_Accounts_on_Different_Microblogging_and_Social_Media_Networks_ijariie3410.pdf (Accessed : ).
Harvard Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. (2016) 'Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks', International Journal Of Advance Research And Innovative Ideas In Education, 2(6), pp. 869-873IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Survey_Paper_on_Detecting_Unknown_or_Fake_User_Accounts_on_Different_Microblogging_and_Social_Media_Networks_ijariie3410.pdf (Accessed : )
IEEE Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale, "Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 6, pp. 869-873, Nov-Dec 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Survey_Paper_on_Detecting_Unknown_or_Fake_User_Accounts_on_Different_Microblogging_and_Social_Media_Networks_ijariie3410.pdf [Accessed : ].
Turabian Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. "Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 6 ().
Vancouver Darshan Biyani, Balaji Lase, Sagar Sawarkar, and Vaibhav Umale. Survey Paper on Detecting Unknown or Fake User Accounts on Different Microblogging and Social Media Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(6) : 869-873. Available from: http://ijariie.com/AdminUploadPdf/Survey_Paper_on_Detecting_Unknown_or_Fake_User_Accounts_on_Different_Microblogging_and_Social_Media_Networks_ijariie3410.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
The Role of Information Technology in Improving the Quality of Banking Services at the Al-Jumhouria Bank – Madinah Branch, SabrathaDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
Enhancing the Conceptual Learning on Natural Resources through Battle of the Brains StrategyScienceDaicy C. Deligencia Download
BRIDGING LANGUAGES THROUGH IMAGESCOMPUTER ENGINEERINGDIVYASHREE.K ASSISTANT PROFESSOR Download
12