Mobile Computing: An Ubiquitous Approach of Social Marketing for Influential Social Contact NetworkAuthor : Payal Gohel
Volume 9 No.1 January-June 2020 pp 47-51
In today’s time, use of social media defines an era where billions of users, everyday use the power of social media to get empowered. It has the capacity to impact our lives and has opened new opportunities and possibilities that were not possible. Social networks are fundamentally social tools in which people are constantly observing and growing their social network, most social network media depict growth using the degree of point definition, control, and independence. Centrality can also indicate which members are the most useful or well-connected and therefore the best information resources. This research targets the emerging area of group purchasing, social marketing and target advertising. Social marketing will enhance the market understanding by learning what people want and need rather than trying to persuade them to buy what they happen to be offering. The aim of this research is to investigate how the social marketing paradigm works, involve students in the research experiments to educate and train them regarding the latest technologies involved, and identify the approach to do it right. The proposed research successfully implemented an android app dubbed as iSONET (Influential social contact network) to conduct research experiments and interacted with targeted users. This app focuses on i) user’s privacy related issues, ii) periodical data capturing and iii) user’s localization. Couple of research methods are used in research experiments to conduct qualitative and quantitative data including i) I SONET app captures consistent data over time for 4 weeks and helps to build the dynamic datasets of social contact network ii) Conducted online Survey to gather quantitative data from SNS users.
Social Network, Group behaviour, Mobile computing, Social marketing, Social network service
David Kempe, Jon Kleinberg and Eva Tardos – “Maximizing the Spread of Influence through a Social Network”, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, Washington, D.C, August 24-27, 2003.
- Shin, Park and Ju, “The effect of the online social network structure on Korean social promotion sites”, APDSI, Taipai, 2011.
- UK Department for business, innovation & skills, guide for community buying groups,[Available at: https://www.gov.uk/government/publications/guide-for-community-buying-groups],2012.
- Fay, Yoneki and Kunegis, “Centrality and mode detection in dynamic contact graphs: a joint diagonalisation approach”, ASONAM
- Huang, Minyi , Yen and Benjamin, “Retailer acceptance of consumer led group buying from a stakeholder influence strategy perspective”, PACIS.
- Gohel and Payal, “Sustainable infrastructure:An innovative Smartphone based data collection solution for Active Travel”, International Journal of Recent Scientific Research, Vol. 10, No.11, pp. 35776-35779, 2019.
- Stallings, “Cryptography and network security: Principles and practice”, Saddle Brook, New Jersey: Prentice-Hall, 2010.
- Singh, Santosh, Manjhi, Pankaj and R.Tiwari, “Data Security using RSA Algorithm in Cloud Computing”, 10.17148/IJARCCE.2016.5803, 2016.
- Rajiv Chavada, Nashwan Dawood and Mohamad Kassem, “Construction workspace management: the development and application of a novel nD planning approach and tool”, ITcon 17 213-236, http://www.itcon.org/2012/13, 2012.
- Gohel, Payal, Atkotiya, and Kishor, “A statistical evaluation and assessment of an interactive elementary programming model – A systematic approach”, INFOCOMP Journal of Computer Science, Vol. 19, No.1, 2020.