Caracterização dos perfis comerciais na rede social Instagram
Abstract
This paper presents a resulting study of users data analysis in Instagram, identifying the different existing profiles. Instagram is an application for sharring photos and videos that became popular in recent years and because of this, businesses are increasingly investing in dissemination of advertisement through it. This shows that brands are interested in disseminating their products in a relaxed atmosphere, so that their customers can have a closer relationship with the company. Thus, this research aims to characterize Instagram users, identifying and differentiating ordinary users from commercial ones. We leveraged our characterization study towards a classification approach able to differentiate these users with high accuracy.
Keywords:
Social Network Analysis, Instagram, Profile Characterization
References
R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. ACM Press/Addison-Wesley, 1999.
F. Benevenuto. Redes sociais online: Técnicas de coleta, abordagens de medição e desafios futuros. Tópicos em Sistemas Colaborativos, Interativs, Multimidi, Web e Banco de Dados, pages 41–70, 2010.
Leo Breiman. Random forests. Machine learning, 45(1):5–32, 2001.
Helen Costa, Fabricio Benevenuto, and Luiz HC Merschmann. Detecting tip spam in location-based social networks. In Proceedings of the 28th Annual ACM Symposium on Applied Computing, pages 724–729. ACM, 2013.
Estado de Minas. Designer andrés iniesta acusa instagram de “roubar” sua conta e dá-la para jogador homônimo. http://bit.ly/1oKcThD. Acessado em abril de 2016.
Yuheng Hu, Lydia Manikonda, Subbarao Kambhampati, et al. What we instagram: A first analysis of instagram photo content and user types. Proceedings of ICWSM. AAAI, 2014.
Aditya Khosla, Atish Das Sarma, and Raffay Hamid. What makes an image popular? In Proceedings of the 23rd international conference on World wide web, pages 867–876. International World Wide Web Conferences Steering Committee, 2014.
Jure Leskovec, Lada A Adamic, and Bernardo A Huberman. The dynamics of viral marketing. ACM Transactions on the Web (TWEB), 1(1):5, 2007.
J. Ross Quinlan. Induction of decision trees. Machine learning, 1(1):81–106, 1986.
Thiago H Silva, Pedro OS Vaz de Melo, Jussara M Almeida, and Antonio AF Loureiro. Uma fotografia do instagram: Caracterização e aplicação. Proc. of XXXII SBRC’13, 2013.
F. Benevenuto. Redes sociais online: Técnicas de coleta, abordagens de medição e desafios futuros. Tópicos em Sistemas Colaborativos, Interativs, Multimidi, Web e Banco de Dados, pages 41–70, 2010.
Leo Breiman. Random forests. Machine learning, 45(1):5–32, 2001.
Helen Costa, Fabricio Benevenuto, and Luiz HC Merschmann. Detecting tip spam in location-based social networks. In Proceedings of the 28th Annual ACM Symposium on Applied Computing, pages 724–729. ACM, 2013.
Estado de Minas. Designer andrés iniesta acusa instagram de “roubar” sua conta e dá-la para jogador homônimo. http://bit.ly/1oKcThD. Acessado em abril de 2016.
Yuheng Hu, Lydia Manikonda, Subbarao Kambhampati, et al. What we instagram: A first analysis of instagram photo content and user types. Proceedings of ICWSM. AAAI, 2014.
Aditya Khosla, Atish Das Sarma, and Raffay Hamid. What makes an image popular? In Proceedings of the 23rd international conference on World wide web, pages 867–876. International World Wide Web Conferences Steering Committee, 2014.
Jure Leskovec, Lada A Adamic, and Bernardo A Huberman. The dynamics of viral marketing. ACM Transactions on the Web (TWEB), 1(1):5, 2007.
J. Ross Quinlan. Induction of decision trees. Machine learning, 1(1):81–106, 1986.
Thiago H Silva, Pedro OS Vaz de Melo, Jussara M Almeida, and Antonio AF Loureiro. Uma fotografia do instagram: Caracterização e aplicação. Proc. of XXXII SBRC’13, 2013.
Published
2016-07-05
How to Cite
CAMPOS, Gabriela Enes; COSTA, Helen.
Caracterização dos perfis comerciais na rede social Instagram. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 2016. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 55-66.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2016.6443.
