Information diffusion through blogspace Export

@inproceedings{citeulike:491, abstract = {We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We characterize and model this collection at two levels. First, we present a macroscopic characterization of topic propagation through our corpus, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community. Second, we present a microscopic characterization of propagation from individual to individual, drawing on the theory of infectious diseases to model the flow. We propose, validate, and employ an algorithm to induce the underlying propagation network from a sequence of posts, and report on the results.}, address = {New York, NY, USA}, author = {Gruhl, Daniel and Guha, R. and Nowell, David L. and Tomkins, Andrew}, booktitle = {WWW '04: Proceedings of the 13th international conference on World Wide Web}, citeulike-article-id = {491}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=988739}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/988672.988739}, doi = {10.1145/988672.988739}, isbn = {1-58113-844-X}, keywords = {innovation\_diffusion, non-spatial}, location = {New York, NY, USA}, pages = {491--501}, posted-at = {2005-03-05 16:54:18}, priority = {2}, publisher = {ACM}, title = {Information diffusion through blogspace}, url = {http://dx.doi.org/10.1145/988672.988739}, year = {2004} }

TY - CONF ID - citeulike:491 L3 - citeulike-article-id:491 N2 - We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We characterize and model this collection at two levels. First, we present a macroscopic characterization of topic propagation through our corpus, formalizing the notion of long-running "chatter" topics consisting recursively of "spike" topics generated by outside world events, or more rarely, by resonances within the community. Second, we present a microscopic characterization of propagation from individual to individual, drawing on the theory of infectious diseases to model the flow. We propose, validate, and employ an algorithm to induce the underlying propagation network from a sequence of posts, and report on the results. CY - New York, NY, USA SN - 1-58113-844-X AD - New York, NY, USA EP - 501 TI - Information diffusion through blogspace PB - ACM T2 - WWW '04: Proceedings of the 13th international conference on World Wide Web SP - 491 KW - innovation_diffusion KW - non-spatial AU - Gruhl, Daniel AU - Guha, R AU - Nowell, David AU - Tomkins, Andrew PY - 2004/// UR - http://dx.doi.org/10.1145/988672.988739 ER -