Hashtag of Instagram: From Folksonomy to Complex Network

The Instagram is a social network for smartphones created in 2010 and acquired by Facebook in 2012. It currently has more than 300 million registered users and allows for the immediate upload of images (square, inspired by Polaroid), to which users can associate hashtags and comments. Moreover, connections can be created between users that share the same interests. In our work, we intend to analyze the hashtags entered by users: the use of such hashtags, as it happens in other social networks like Twitter, generates a folksonomy, that is a user-driven classification of information. We intend to map that folksonomy as a complex network to which we can associate all the typical analysis and evaluations of such a mathematical model. Our purpose is to use the resulting complex network as a marketing tool, in order to improve brand or product awareness.

[1]  Wolfgang Nejdl,et al.  Can all tags be used for search? , 2008, CIKM '08.

[2]  Cristopher Moore,et al.  Structural Inference of Hierarchies in Networks , 2006, SNA@ICML.

[3]  Pasquale Lops,et al.  Integrating tags in a semantic content-based recommender , 2008, RecSys '08.

[4]  Giulio Concas,et al.  Classification and Indexing of Web Content Based on a Model of Semantic Social Bookmarking , 2014, KMIS.

[5]  Mor Naaman,et al.  Why we tag: motivations for annotation in mobile and online media , 2007, CHI.

[6]  Adam Mathes,et al.  Folksonomies-Cooperative Classification and Communication Through Shared Metadata , 2004 .

[7]  Robin Burke,et al.  Personalization in Folksonomies Based on Tag Clustering , 2008 .

[8]  M. Newman,et al.  Hierarchical structure and the prediction of missing links in networks , 2008, Nature.

[9]  Pablo M. Gleiser,et al.  Community Structure in Jazz , 2003, Adv. Complex Syst..

[10]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[11]  Peter Mika,et al.  Making Sense of Twitter , 2010, SEMWEB.

[12]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[13]  Mor Naaman,et al.  HT06, tagging paper, taxonomy, Flickr, academic article, to read , 2006, HYPERTEXT '06.

[14]  R. Ferrer i Cancho,et al.  Scale-free networks from optimal design , 2002, cond-mat/0204344.

[15]  A. Bruns,et al.  The use of Twitter hashtags in the formation of ad hoc publics , 2011 .

[16]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Sergi Valverde,et al.  Hierarchical Small Worlds in Software Architecture , 2003 .

[18]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[19]  Lide Wu,et al.  Folksonomy as a Complex Network , 2005, ArXiv.

[20]  Ioannis Konstas,et al.  Categorising social tags to improve folksonomy-based recommendations , 2011, J. Web Semant..

[21]  L. Asz.  Random Walks on Graphs: a Survey , 2022 .

[22]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Peter Mika,et al.  Flink: Semantic Web technology for the extraction and analysis of social networks , 2005, J. Web Semant..