By Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi
This e-book constitutes the refereed complaints of the twelfth overseas convention and college of community technology, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.
The 12 complete and six brief papers have been conscientiously reviewed and chosen from fifty nine submissions. The papers care for the learn of community types in domain names starting from biology and physics to machine technological know-how, from monetary markets to cultural integration, and from social media to infectious diseases.
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Additional info for Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings
Table 1. The most and least sophisticated products in our dataset. 2 1 Cosmetics 2 Underwear for men 3 Furniture 4 Multimedia services 5 Toys ... −5 ... Fresh Cheese −4 Red Meat −3 Spaghetti −2 Bananas −1 Short Pasta Seasonality Both GDP and the behavior of customers in the retail market are aﬀected by seasonality. Diﬀerent periods of the year are associated with diﬀerent economic activities. This is particularly true for Italy in some instances: during the month of August, Italian productive activities come to an almost complete halt, and the country hosts its peak tourist population.
In: KDD (2014) 24. ”: identifying and ranking lurkers in social networks. In: ASONAM (2013) 25. : You are how you click: clickstream analysis for Sybil detection. In: SEC (2013) 26. : Discovering user interest on twitter with a modiﬁed author-topic model. In: WI-IAT (2011) 27. : Data selection for user topic model in twitter-like service. In: ICPADS (2011) 28. : Comparing Twitter and traditional media using topic models. , Mudoch, V. ) ECIR 2011. LNCS, vol. 6611, pp. 338–349. Springer, Heidelberg (2011) Going Beyond GDP to Nowcast Well-Being Using Retail Market Data Riccardo Guidotti1,2(B) , Michele Coscia3 , Dino Pedreschi2 , and Diego Pennacchioli1 1 2 KDDLab ISTI CNR, Via G.
E. customer cj never bought a single instance 34 R. Guidotti et al. of product pi ) to +∞. e. the connection between customer cj and product pi has the expected weight. If RCA(pi , cj ) < 1 it means that the customer cj purchased the product pi less than expected, and vice-versa. Therefore, we keep an edge in the bipartite network iﬀ its corresponding RCA is larger than 1. Note that most edges were already robust. When ﬁltering out the edges, we keep 93 % of the original connections. e. with the number of diﬀerent products she buys.
Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings by Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi