@article{Panisson2011, abstract = {We report on a data-driven investigation aimed at understanding the dynamics of message spreading in a real-world dynamical network of human proximity. We use data collected by means of a proximity-sensing network of wearable sensors that we deployed at three different social gatherings, simultaneously involving several hundred individuals. We simulate a message spreading process over the recorded proximity network, focusing on both the topological and the temporal properties. We show that by using an appropriate technique to deal with the temporal heterogeneity of proximity events, a universal statistical pattern emerges for the delivery times of messages, robust across all the data sets. Our results are useful to set constraints for generic processes of data dissemination, as well as to validate established models of human mobility and proximity that are frequently used to simulate realistic behaviors.}, author = {Panisson, André and Barrat, Alain and Cattuto, Ciro and den Broeck, Wouter Van and Ruffo, Giancarlo and Schifanella, Rossano}, doi = {10.1016/j.adhoc.2011.06.003}, interhash = {9f6f2d9c4e270adf9f97fd24fb9eaa07}, intrahash = {25159ef75d2777b837bdea0eb063a4f1}, issn = {1570-8705}, journal = {Ad Hoc Networks}, pages = { - }, title = {On the Dynamics of Human Proximity for Data Diffusion in Ad-Hoc Networks}, url = {http://www.sciencedirect.com/science/article/pii/S1570870511001272}, volume = {In Press, Accepted Manuscript}, year = 2011 } @inproceedings{mitzlaff2010community, abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social bookmarking application BibSonomy. The results indicate that the evidence networks reflect the relative rating of the explicit ones very well.}, address = {Barcelona, Spain}, author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)}, interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5}, intrahash = {34d79867b23f41ca2e9f481ee894630f}, title = {Community Assessment using Evidence Networks}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2010}, year = 2010 } @inproceedings{eisterlehner2010visit, address = {Toronto, Canada}, author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas}, booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia}, interhash = {5584c4c57fcd8eb4663df8b114bcf09c}, intrahash = {a97c4f7e80dcb666450acf697002155e}, title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy}, year = 2010 } @inproceedings{dunkels04contiki, address = {Tampa, Florida, USA}, author = {Dunkels, A. and Gronvall, B. and Voigt, T.}, booktitle = {Workshop on Embedded Networked Sensors}, interhash = {376408a214e45b8328267402ed5d9795}, intrahash = {7f80673984a0465af63866c74d4e0c2b}, month = {November}, title = {Contiki - a Lightweight and Flexible Operating System for Tiny Networked Sensors}, year = 2004 } @article{newman03fast, author = {Newman, M.E.J.}, interhash = {4493f03106eb8dd9db41c0ef3f667bb3}, intrahash = {56de7e6d214faebdbf2f2ef0fce09d7d}, journal = {Physical Review E}, month = {September}, title = {Fast algorithm for detecting community structure in networks}, url = {http://arxiv.org/abs/cond-mat/0309508}, volume = 69, year = 2003 } @article{newman0001118, author = {Newman, M.E.J.}, institution = {Santa Fe Institute}, interhash = {e219a44a920a498d2fcd78876945216f}, intrahash = {738a4cffd8d031871c9c223f36b258f1}, journal = {Complexity}, title = {Small Worlds: The Structure of Social Networks}, url = {http://www.santafe.edu/research/publications/workingpapers/99-12-080.pdf}, year = 2000 } @inproceedings{conf/ACMse/BalakrishnanD06, author = {Balakrishnan, Hemant and Deo, Narsingh}, booktitle = {ACM Southeast Regional Conference}, crossref = {conf/ACMse/2006}, date = {2006-12-18}, editor = {Menezes, Ronaldo}, ee = {http://doi.acm.org/10.1145/1185448.1185512}, interhash = {e5777f1470aec341ee766ab04febb69a}, intrahash = {7efa21cb8537359f6995cde9c307d181}, isbn = {1-59593-315-8}, pages = {280-285}, publisher = {ACM}, title = {Discovering communities in complex networks.}, url = {http://www.cs.ucf.edu/csdept/faculty/deo/ACMSE-06.pdf}, year = 2006 } @article{clauset-2004-70, author = {Clauset, Aaron and Newman, M. E. J. and Moore, Cristopher}, interhash = {2c68e3c981a00380692a3b0b661d7cfd}, intrahash = {0ea285bfc0f5a46ffec8a213e5133ba6}, journal = {Physical Review E}, pages = 066111, title = {Finding community structure in very large networks}, url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cond-mat/0408187}, volume = 70, year = 2004 } @article{keyhere, abstract = {Concepts of complex networks have been used to obtain metrics that were correlated to text quality established by scores assigned by human judges. Texts produced by high-school students in Portuguese were represented as scale-free networks (word adjacency model), from which typical network features such as the in/outdegree, clustering coefficient and shortest path were obtained. Another metric was derived from the dynamics of the network growth, based on the variation of the number of connected components. The scores assigned by the human judges according to three text quality criteria (coherence and cohesion, adherence to standard writing conventions and theme adequacy/development) were correlated with the network measurements. Text quality for all three criteria was found to decrease with increasing average values of outdegrees, clustering coefficient and deviation from the dynamics of network growth. Among the criteria employed, cohesion and coherence showed the strongest correlation, which probably indicates that the network measurements are able to capture how the text is developed in terms of the concepts represented by the nodes in the networks. Though based on a particular set of texts and specific language, the results presented here point to potential applications in other instances of text analysis.}, author = {Antiqueira, L. and Nunes, M.G.V. and Jr., O.N. Oliveira and da F. Costa, L.}, interhash = {d3fb61cdf3d02e793dfb86d7eb30ae90}, intrahash = {8fb247044a9326fd0f4d222d4dd4b4d8}, journal = {Physica A: Statistical and Theoretical Physics}, month = {#jan#}, pages = {811--820}, title = {Strong correlations between text quality and complex networks features}, url = {http://www.sciencedirect.com/science/article/B6TVG-4KB1072-2/2/6555b4ec9893dbd30d280dbe22763fac}, volume = 373, year = 2007 } @inproceedings{culotta04, address = {Mountain View, USA}, author = {Culotta, A. and Bekkerman, R. and A.McCallum}, booktitle = {Proc.\ Conference on Email and Anti-Spam (CEAS)}, interhash = {ed525cc4beffdb5ab87b58b0ba72697e}, intrahash = {7bf31320e8cb8d5db160085e17e80a93}, month = {July}, title = {{Extracting social networks and contact information from email and the Web}}, year = 2004 } @article{citeulike:433709, author = {Chudnov, Daniel and Barnett, Jeffrey and Prasad, Raman and Wilcox, Matthew}, citeulike-article-id = {433709}, interhash = {529d938696510b5384272b12a793469b}, intrahash = {e38f8925480aefa240bb82abfd3df2d9}, issn = {0737-8831}, journal = {Library Hi Tech}, month = {January}, number = 4, pages = {469--480}, priority = {2}, publisher = {Emerald Group Publishing Limited}, title = {Experiments in academic social book marking with Unalog}, url = {http://www.ingentaconnect.com/content/mcb/238/2005/00000023/00000004/art00002}, volume = 23, year = 2005 }