Paper Info
Title
Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram.
Abstract
Instagram is a relatively new form of communication where users can instantly share their current status by taking pictures and tweaking them using filters. It has seen a rapid growth in the number of users as well as uploads since it was launched in October 2010. Inspite of the fact that it is the most popular photo sharing application, it has attracted relatively less attention from the web and social media research community. In this paper, we present a large-scale quantitative analysis on millions of users and pictures we crawled over 1 month from Instagram. Our analysis reveals several insights on Instagram which were never studied before: 1) its social network properties are quite different from other popular social media like Twitter and Flickr, 2) people typically post once a week, and 3) people like to share their locations with friends. To the best of our knowledge, this is the first in-depth analysis of user activities, demographics, social network structure and user-generated content on Instagram.
Year
Venue
Field
2014
CoRR
User-generated content,World Wide Web,Social media,Social network,Computer science,Upload,Tweaking,Demographics
DocType
Volume
Citations 
Journal
abs/1410.8099
10
PageRank 
References 
Authors
0.52
6
3
Name
Order
Citations
PageRank
Lydia Manikonda11015.12
Yuheng Hu222415.88
Subbarao Kambhampati33453450.74