Collective dynamics of social annotation Export

@article{Cattuto09, abstract = {10.1073/pnas.0901136106 The enormous increase of popularity and use of the worldwide web has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) with keywords known as \^{a}€œtags.\^{a}€ Understanding the rich emergent structures resulting from the uncoordinated actions of users calls for an interdisciplinary effort. In particular concepts borrowed from statistical physics, such as random walks (RWs), and complex networks theory, can effectively contribute to the mathematical modeling of social annotation systems. Here, we show that the process of social annotation can be seen as a collective but uncoordinated exploration of an underlying semantic space, pictured as a graph, through a series of RWs. This modeling framework reproduces several aspects, thus far unexplained, of social annotation, among which are the peculiar growth of the size of the vocabulary used by the community and its complex network structure that represents an externalization of semantic structures grounded in cognition and that are typically hard to access.}, author = {Cattuto, Ciro and Barrat, Alain and Baldassarri, Andrea and Schehr, Gregory and Loreto, Vittorio}, booktitle = {Proceedings of the National Academy of Sciences}, citeulike-article-id = {4793944}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0901136106}, citeulike-linkout-1 = {http://www.pnas.org/content/0901136106v1//.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/0901136106v1//.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/19506244}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=19506244}, day = {30}, doi = {10.1073/pnas.0901136106}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, keywords = {collaboration, social\_bookmarking, social\_software, tagging}, month = {June}, number = {26}, pages = {10511--10515}, posted-at = {2009-11-11 09:02:30}, priority = {3}, title = {Collective dynamics of social annotation}, url = {http://dx.doi.org/10.1073/pnas.0901136106}, volume = {106}, year = {2009} }

TY - JOUR ID - Cattuto09 L3 - citeulike-article-id:4793944 N2 - 10.1073/pnas.0901136106 The enormous increase of popularity and use of the worldwide web has led in the recent years to important changes in the ways people communicate. An interesting example of this fact is provided by the now very popular social annotation systems, through which users annotate resources (such as web pages or digital photographs) with keywords known as “tags.” Understanding the rich emergent structures resulting from the uncoordinated actions of users calls for an interdisciplinary effort. In particular concepts borrowed from statistical physics, such as random walks (RWs), and complex networks theory, can effectively contribute to the mathematical modeling of social annotation systems. Here, we show that the process of social annotation can be seen as a collective but uncoordinated exploration of an underlying semantic space, pictured as a graph, through a series of RWs. This modeling framework reproduces several aspects, thus far unexplained, of social annotation, among which are the peculiar growth of the size of the vocabulary used by the community and its complex network structure that represents an externalization of semantic structures grounded in cognition and that are typically hard to access. IS - 26 JF - Proceedings of the National Academy of Sciences of the United States of America SN - 1091-6490 EP - 10515 TI - Collective dynamics of social annotation VL - 106 T2 - Proceedings of the National Academy of Sciences SP - 10511 KW - collaboration KW - social_bookmarking KW - social_software KW - tagging AU - Cattuto, Ciro AU - Barrat, Alain AU - Baldassarri, Andrea AU - Schehr, Gregory AU - Loreto, Vittorio PY - 2009/06/30/ UR - http://dx.doi.org/10.1073/pnas.0901136106 ER -