Research of Management Tools and Techniques of Social Media Marketing Time Based on Mathematical and Empirical Analysis

DOI

10.2991/lemcs-14.2014.123How to use a DOI?

Keywords

Mathematical empirical; social media; marketing; time management; skills research

Abstract

1.Objective:The life of the people in the 21st century is full of advanced science and technology and the internet media, a wealth of information and technology acquisition, fast tools and change in service; these are giving birth to the era revolution of social media marketing. 2.Methods:This paper focused on the development trend of social media era, had public opinion analysis of social media of internet era, contacted social actuality and had depth analysis of background and advantages skills of social media marketing, then based on this to have function relationships mathematical empirical of time management tools of social media marketing, and tried to find opportunity for change and development of the strategic decision-making of social media marketing. 3.Results:In summary, it needs to accurately reflect the laws of marketing and social requirement, uses replying, forwarding, reviews and other ways to concern friends, and establishes a truly reliable social media marketing model. 4.Conclusion: We have to seize the opportunities of development, and be good at using mathematical law and the statistical empirical analysis in the increasingly developed social media era, grasp the time management tools and techniques for social media marketing, and actively make social media marketing create new value.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Cao
PY  - 2014/05
DA  - 2014/05
TI  - Research of Management Tools and Techniques of Social Media Marketing Time Based on Mathematical and Empirical Analysis
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 536
EP  - 538
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.123
DO  - 10.2991/lemcs-14.2014.123
ID  - Cao2014/05
ER  -