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Social Network Analysis and Mining

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

  • 01-12-2018
  • Original Article
Published in:
Authors
Nagendra Kumar
Gopi Ande
Jessu Shirish Kumar
Manish Singh
Published in
Social Network Analysis and Mining | Issue 1/2018

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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.

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previous article An efficient and effective hop-based approach for influence maximization in social networks
next article Utilizing the average node degree to assess the temporal growth rate of Twitter
Title
Toward maximizing the visibility of content in social media brand pages: a temporal analysis
Authors
Nagendra Kumar
Gopi Ande
Jessu Shirish Kumar
Manish Singh
Publication date
01-12-2018
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2018
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-018-0488-z
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