Corpus ID: 5456671

Self-Organizing Map and social networks: Unfolding online social popularity

  title={Self-Organizing Map and social networks: Unfolding online social popularity},
  author={T. Couronn{\'e} and Jean-Samuel Beuscart and C. Chamayou},
The present study uses the Kohonen self organizing map (SOM) to represent the popularity patterns of Myspace music artists from their attributes on the platform and their position in the social network. The method is applied to cluster the profiles (the nodes of the social network) and the best friendship links (the edges). It shows that the SOM is an efficient tool to interpret the complex links between the audience and the influence of the musicians. It finally provides a robust classifier of… Expand
Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks
A geographic, hierarchical self-organizing map (Geo-H-SOM) is proposed to analyze geospatial, temporal and semantic characteristics of georeferenced tweets to demonstrate the ability to explore, abstract and cluster high-dimensional geosp spatial and semantic information from crowdsourced data. Expand
Explaining the emergence of online popularity through a model of information diffusion
Overall, on balance, the models confirm that popularity builds through message diffusion, which is of the multiplicative kind. Expand
Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps
It is concluded that tweets can be used as a proxy indicator to detect collective mobility events and may help to provide stakeholders and decision makers with complementary information on complex mobility processes. Expand
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A type of predictive model that offers benefits in terms of image’s semantic energy conservation compared with conventional tree methods is introduced that exhibits improved performance under various conditions, such as noise and illumination changes. Expand


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This paper shows how SOM discovers interesting community features, its relation with other community-discovering algorithms, and the way it highlights the set of communities formed over the network. Expand
Measurement and analysis of online social networks
This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network. Expand
A Large-Scale Study of MySpace: Observations and Implications for Online Social Networks
An extensive analysis of over 1.9 million MySpace profiles helps to understand who is using these networks and how they are being used and finds a number of surprising results. Expand
Conversations in the Blogosphere: An Analysis "From the Bottom Up"
  • S. Herring, Inna Kouper, +5 authors Ning Yu
  • Computer Science
  • Proceedings of the 38th Annual Hawaii International Conference on System Sciences
  • 2005
The "blogosphere" has been claimed to be a densely interconnected conversation, with bloggers linking to other bloggers, referring to them in their entries, and posting comments on each other'sExpand
Energy Models for Graph Clustering
  • A. Noack
  • Computer Science, Mathematics
  • J. Graph Algorithms Appl.
  • 2007
Two energy models whose minimum energy layouts represent the cluster structure of graph clusterings are introduced, one based on repulsion between nodes (like most existing energy models) and onebased onRepulsion between edges. Expand
The Stength of Weak cooperation: A Case Study on Flickr
The main properties of weak cooperation on Flickr are illustrated by illustrating them on the photo publication website Flickr, showing the variety of uses producing a rich content and the various procedures devised by Flickr users themselves to select quality. Expand
A self-growing cluster development approach to data mining
A data analysis method using a structure adapting neural network with two additional layers to analyse the clusters and the representation of attributes in the clusters. Expand
Hubs, authorities, and communities
The Web has become the most visible manifestation of a new medium: a global, populist hypertext, where researchers now release their results to the Web before they appear in print, and corporations list their URLs alongside their toll-free numbers. Expand
Crowdsourcing, attention and productivity
We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number ofExpand
The Long Tail: Why the Future of Business is Selling Less of More
The central premise of the book is that the combination of the Pareto or Zipf distribution that is characteristic of Web traffic and the direct access to consumers via Web technology has opened up new business opportunities in the ''long tail''. Expand