Analyzing a Web-Based Social Network Using Kohonen’s SOM Export

@incollection{citeulike:3243020, abstract = {In this paper the utility of using the Self Organizing Maps (SOM), in conjunction with U-matrix, to visualize the evolution of a social network community formed by a set of blogs is shown. Weblogs are dynamic websites updated via easy-to-use content management systems whose links tend to mirror or in some cases establish new types of social relations, thereby creating a social network. Analyzing the evolution of this network allows the discovery of emerging social structures and their trends in growth. Here we apply this method to Blogalia, a blog hosting site from which we have a complete set of data. The proposed procedure not only gives some insight on how communities form and evolve, but would also enable to predict the future paths that their members will take.}, author = {Prieto, Beatriz and Merelo, Juan and Prieto, Alberto and Tricas, Fernando}, citeulike-article-id = {3243020}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-73007-1_110}, doi = {10.1007/978-3-540-73007-1_110}, journal = {Computational and Ambient Intelligence}, keywords = {som}, pages = {911--918}, posted-at = {2008-09-12 01:37:42}, priority = {4}, title = {Analyzing a Web-Based Social Network Using Kohonen's SOM}, url = {http://dx.doi.org/10.1007/978-3-540-73007-1_110}, year = {2007} }

TY - CHAP ID - citeulike:3243020 L3 - citeulike-article-id:3243020 N2 - In this paper the utility of using the Self Organizing Maps (SOM), in conjunction with U-matrix, to visualize the evolution of a social network community formed by a set of blogs is shown. Weblogs are dynamic websites updated via easy-to-use content management systems whose links tend to mirror or in some cases establish new types of social relations, thereby creating a social network. Analyzing the evolution of this network allows the discovery of emerging social structures and their trends in growth. Here we apply this method to Blogalia, a blog hosting site from which we have a complete set of data. The proposed procedure not only gives some insight on how communities form and evolve, but would also enable to predict the future paths that their members will take. JF - Computational and Ambient Intelligence EP - 918 TI - Analyzing a Web-Based Social Network Using Kohonen’s SOM SP - 911 KW - som AU - Prieto, Beatriz AU - Merelo, Juan AU - Prieto, Alberto AU - Tricas, Fernando PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-73007-1_110 ER -