%0 Book Section %1 series/lnsn/SiehndelADHK13 %A Siehndel, Patrick %A Abel, Fabian %A Diaz-Aviles, Ernesto %A Henze, Nicola %A Krause, Daniel %B The Influence of Technology on Social Network Analysis and Mining %D 2013 %E Özyer, Tansel %E Rokne, Jon %E Wagner, Gerhard %E Reuser, Arno H.P. %I Springer Vienna %K 2013 L3S myown vedax %P 275-301 %R 10.1007/978-3-7091-1346-2_12 %T Cross-Domain Analysis of the Blogosphere for Trend Prediction %U http://dx.doi.org/10.1007/978-3-7091-1346-2_12 %V 6 %X In the recent years blogs became an important part of the web. New technologies like smartphones emerged that enable blogging at any time and make blogs more up-to-date than ever before. Due to their high popularity they are a valuable source of information regarding public opinions about all kind of topics. Blog postings that refer to products are of particular interest for companies to adjust marketing campaigns or advertisement. In this article we compare the blogging characteristics of two different domains: the music and the movie domain. We investigate how chatter from the blogosphere can be used to predict the success of products. We analyze and identify typical patterns of blogging behavior around the release of a product, point out methods for extracting features from the blogosphere and show that we can exploit these features to predict the monetary success of movies and music with high accuracy. %@ 978-3-7091-1345-5

@incollection{series/lnsn/SiehndelADHK13, abstract = {In the recent years blogs became an important part of the web. New technologies like smartphones emerged that enable blogging at any time and make blogs more up-to-date than ever before. Due to their high popularity they are a valuable source of information regarding public opinions about all kind of topics. Blog postings that refer to products are of particular interest for companies to adjust marketing campaigns or advertisement. In this article we compare the blogging characteristics of two different domains: the music and the movie domain. We investigate how chatter from the blogosphere can be used to predict the success of products. We analyze and identify typical patterns of blogging behavior around the release of a product, point out methods for extracting features from the blogosphere and show that we can exploit these features to predict the monetary success of movies and music with high accuracy.}, added-at = {2013-10-13T22:03:46.000+0200}, author = {Siehndel, Patrick and Abel, Fabian and Diaz-Aviles, Ernesto and Henze, Nicola and Krause, Daniel}, biburl = {https://www.bibsonomy.org/bibtex/2ebb1d006364902e681e4f13b0b5c9764/diaz.l3s.de}, booktitle = {The Influence of Technology on Social Network Analysis and Mining}, description = {Cross-Domain Analysis of the Blogosphere for Trend Prediction - Springer}, doi = {10.1007/978-3-7091-1346-2_12}, editor = {Özyer, Tansel and Rokne, Jon and Wagner, Gerhard and Reuser, Arno H.P.}, interhash = {9115f238cd2fb196e7e0a9a1e145b924}, intrahash = {ebb1d006364902e681e4f13b0b5c9764}, isbn = {978-3-7091-1345-5}, keywords = {2013 L3S myown vedax}, language = {English}, pages = {275-301}, publisher = {Springer Vienna}, series = {Lecture Notes in Social Networks}, timestamp = {2013-10-13T22:03:46.000+0200}, title = {Cross-Domain Analysis of the Blogosphere for Trend Prediction}, url = {http://dx.doi.org/10.1007/978-3-7091-1346-2_12}, volume = 6, year = 2013 }