'Like' - A unique way to judge user preference in social networking sites

被引:2
|
作者
Goyal, Reshu [1 ]
Dhyani, Praveen [2 ]
Rishi, O. P. [3 ]
机构
[1] Banasthali Vidhyapeeth, Dept Comp Sci, Jaipur 304022, Rajasthan, India
[2] Banasthali Vidhyapeeth, Jaipur 302001, Rajasthan, India
[3] Univ Kota, Dept Comp Sci & Informat, Kota 324005, India
关键词
Social Media; Data Mining; algorithm;
D O I
10.1109/CSNT.2015.182
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Popularity and usability of Social Media in today's scenario is universal. None of us can deny to the fact it is not only the source of communication or connection between friends but also has broaden its horizons to politics, television industry, source to advertisement for companies, education and many more[11][15]. Most of the companies or personalities are maintaining pages on these social media sites to interact with the users of these sites they are even posting messages, videos on these sites so that they can get attached by more and more users. Researches have shown even in latest 2014 elections that BJP used social media as its most liked option for promotion. The same was hit and liked by masses. Seeing this we can actually see the acceptance of 'Like' on the social media. It has become a measure to actually analyze and capture user interest on social media. It enables one to actually calculate and measure the user liking over certain objects. It gives the clear cut idea of user interest in a particular object and thus calculations can be made accordingly for sharing and promoting information or objects on social media sites [12]. We are trying to seek a model to analyze and mine the influence of 'Like' in social media. To calculate the effect on the object 'Like' mining algorithm is proposed along with the network model for social media. Facebook data is being used to show the influence and effect of the approach.
引用
收藏
页码:1056 / 1059
页数:4
相关论文
共 50 条
  • [1] Predicting User Participation in Social Networking Sites
    Kong, Qingchao
    Mao, Wenji
    Zeng, Daniel
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: BIG DATA, EMERGENT THREATS, AND DECISION-MAKING IN SECURITY INFORMATICS, 2013, : 154 - 156
  • [2] Investigation of user behavior on social networking sites
    Waheed, Hajra
    Anjum, Maria
    Rehman, Mariam
    Khawaja, Amina
    [J]. PLOS ONE, 2017, 12 (02):
  • [3] The effects of personalization on user continuance in social networking sites
    Park, Ji-Hong
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2014, 50 (03) : 462 - 475
  • [4] User Survey on Introducing Social Networking Sites into Enterprises
    Kato, Namie
    Suwa, Hirohiko
    Ohta, Toshizumi
    Kurihara, Satoshi
    [J]. 2014 PROCEEDINGS OF THE SICE ANNUAL CONFERENCE (SICE), 2014, : 1229 - +
  • [5] UPP: User Privacy Policy for Social Networking Sites
    Aimeur, Esma
    Gambs, Sebastien
    Ho, Ai
    [J]. 2009 FOURTH INTERNATIONAL CONFERENCE ON INTERNET AND WEB APPLICATIONS AND SERVICES, 2009, : 267 - +
  • [6] Research on quantifying user privacy on social networking sites
    School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
    不详
    [J]. Qinghua Daxue Xuebao, 3 (402-406):
  • [7] EncryptPost: A Framework for User Privacy on Social Networking Sites
    Sharma, Shilpi
    Sodhi, J. S.
    [J]. PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS: VOL 1, 2016, 50 : 51 - 60
  • [8] Comprehensive survey of user behaviour analysis on social networking sites
    Bide, Pramod
    Dhage, Sudhir
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2021, 66 (01) : 1 - 18
  • [9] DEVELOPING USER LOYALTY FOR SOCIAL NETWORKING SITES: A RELATIONAL PERSPECTIVE
    Gu, Rui
    Oh, Lih-Bin
    Wang, Kanliang
    [J]. JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2016, 17 (01): : 1 - 21
  • [10] User Authentication in Social Networking Sites using Face Recognition
    Kauri, Prabujeet
    Singh, Aruni
    [J]. 2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), 2012, : 773 - 778