Friendship Paradox and Hashtag Embedding in the Instagram Social Network

Instagram is a social networking platform which gained popularity even faster than most of the other modern online social networks. It is relatively newer and less explored than other social networks, such as Facebook and Twitter. Therefore, we have conducted a research based on a sample data set extracted through the Instagram weekend hashtag project, in order to unveil some of its characteristics. First, we reveal the various forms of friendship paradox present in Instagram, which are often observed in social networks. Then, we conduct a detailed hashtag analysis and provide a method for hashtag representation and recommendation using natural language processing.

[1]  Andrea Tagarelli,et al.  Online popularity and topical interests through the lens of instagram , 2014, HT.

[2]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[3]  Matt J. Kusner,et al.  From Word Embeddings To Document Distances , 2015, ICML.

[4]  Ke Xu,et al.  Who creates trends in online social media: The crowd or opinion leaders? , 2014, J. Comput. Mediat. Commun..

[5]  Subbarao Kambhampati,et al.  What We Instagram: A First Analysis of Instagram Photo Content and User Types , 2014, ICWSM.

[6]  Reuven Cohen,et al.  Efficient immunization strategies for computer networks and populations. , 2002, Physical review letters.

[7]  Andrea Tagarelli,et al.  Time-aware analysis and ranking of lurkers in social networks , 2015, Social Network Analysis and Mining.

[8]  Din J. Wasem,et al.  Mining of Massive Datasets , 2014 .

[9]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[10]  Ravi Kumar,et al.  Structure and evolution of online social networks , 2006, KDD '06.

[11]  Kristina Lerman,et al.  Friendship Paradox Redux: Your Friends Are More Interesting Than You , 2013, ICWSM.

[12]  Janice Penni,et al.  The future of online social networks (OSN): A measurement analysis using social media tools and application , 2017, Telematics Informatics.

[13]  Jason Weston,et al.  #TagSpace: Semantic Embeddings from Hashtags , 2014, EMNLP.

[14]  Zhong Zhou,et al.  Tweet2Vec: Character-Based Distributed Representations for Social Media , 2016, ACL.

[15]  Serge J. Belongie,et al.  Separating Self-Expression and Visual Content in Hashtag Supervision , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[16]  Dongwon Lee,et al.  No Reciprocity in "Liking" Photos: Analyzing Like Activities in Instagram , 2015, HT.

[17]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[18]  S. Feld Why Your Friends Have More Friends Than You Do , 1991, American Journal of Sociology.

[19]  Tomas Mikolov,et al.  Enriching Word Vectors with Subword Information , 2016, TACL.