Toward maximizing the visibility of content in social media brand pages: a temporal analysis

Kumar, Nagendra and Ande, Gopi and Kumar, Jessu Shirish and Singh, Manish (2018) Toward maximizing the visibility of content in social media brand pages: a temporal analysis. Social Network Analysis and Mining, 8 (1). ISSN 1869-5450

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Abstract

A large amount of content is generated everyday in social media. One of the main goals of content creators is to spread their information to a large audience. There are many factors that affect information spread, such as posting time, location, type of information, number of social connections. In this paper, we look at the problem of finding the best posting time(s) to get high content visibility. The posting time is derived taking other factors into account, such as location, type of information. In this paper, we do our analysis over Facebook pages. We propose six posting schedules that can be used for individual pages or group of pages with similar audience reaction profile. We perform our experiment on a Facebook pages dataset containing 0.3 million posts, 10 million audience reactions. Our best posting schedule can lead to seven times more number of audience reactions compared to the average number of audience reactions that users would get without following any optimized posting schedule. We also present some interesting audience reaction patterns that we obtained through daily, weekly and monthly audience reaction analysis. © 2018, Springer-Verlag GmbH Austria, part of Springer Nature.

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IITH Creators:
IITH CreatorsORCiD
Singh, Manishhttp://orcid.org/0000-0001-5787-1833
Item Type: Article
Uncontrolled Keywords: Characterization, Information spread, Posting time, Social media analysis
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 05 Mar 2018 10:58
Last Modified: 05 Mar 2018 10:58
URI: http://raiith.iith.ac.in/id/eprint/3810
Publisher URL: http://doi.org/10.1007/s13278-018-0488-z
OA policy: http://www.sherpa.ac.uk/romeo/issn/1869-5450/
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