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Katalin Tünde Jánosi-Rancz, Zoltán Kátai and Roland Bogosi

References [1] S. Baccianella, A. Esuli, F. Sebastiani, SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining, LREC 2010, Seventh International Conference on Language Resources and Evaluation , Valetta, Malta, May 17–23, 2010, pp. 2200–2204. ⇒188, 189, 198 [2] V. Basile, M. Nissim, Sentiment analysis on Italian tweets, Proc. 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis , June 14, 2013, Atlanta, Georgia, USA, pp. 100–107. ⇒198 [3] G. Berend, R. Farkas, Opinion

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Portrait of a Privacy Invasion

Detecting Relationships Through Large-scale Photo Analysis

Yan Shoshitaishvili, Christopher Kruegel and Giovanni Vigna

://www.independent.co.uk/news/uk/thisbritain/ how-average-briton-is\discretionary{-}{}{}caught-oncamera-300-times-a-day-572781.html. [14] C. Jernigan and B. F. Mistree. Gaydar: Facebook friendships expose sexual orientation. First Monday, 14(10), 2009. [15] J. K. Lars Backstrom. Romantic partnerships and the dispesion of social ties: A network analysis of relationship status on facebook. In Proceedings of the 2014 ACM conference on Computer supported cooperative work. ACM, 2014. [16] B. W. Matthews. Comparison of the predicted and observed secondary structure of t

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Alexandra-Mihaela Olteanu, Mathias Humbert, Kévin Huguenin and Jean-Pierre Hubaux

. Argyros, T. Petsios, S. Sivakorn, and A. D. Keromytis. Where’s wally?: Precise user discovery attacks in location proximity services. In CCS , pages 817–828, 2015. [45] Y. Pu and J. Grossklags. An economic model and simulation results of app adoption decisions on networks with interdependent privacy consequences. In GameSec , 2014. [46] Y. Pu and J. Grossklags. Towards a model on the factors influencing social app users’ valuation of interdependent privacy. PoPETS , 2015. [47] Y. Pu and J. Grossklags. Using conjoint analysis to investigate the value

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Ergonomics For People With Disabilities

Design For Accessibility

Open access

F. M. Clemente and F. M. L. Martins

soccer teams in FIFA World Cup 2014. International Journal of Performance Analysis in Sport , 15 (1), 80–96. Clemente, F. M., Martins, F. M. L., & Mendes, R. S. (2016). Social Network Analysis Applied to Team Sports Analysis . Netherlands: Springer International Publishing. http://doi.org/10.1007/978-3-319-25855-3 Duarte, R., Araújo, D., Correia, V., & Davids, K. (2012). Sports Teams as Superorganisms: Implications of Sociobiological Models of Behaviour for Research and Practice in Team Sports Performance Analysis. Sports Medicine , 42 (8), 633

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Hao Wu and Yih-Chun Hu

and G. Chen. Analysis of a location-based social network. In Computational Science and Engineering, 2009. CSE’09. International Conference on, volume 4, pages 263-270. Ieee, 2009. [32] M. F. Mokbel, C.-Y. Chow, and W. G. Aref. The new casper: A privacy-aware location-based database server. In Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on, pages 1499-1500. IEEE, 2007. [33] M. Motani, V. Srinivasan, and P. S. Nuggehalli. Peoplenet: engineering a wireless virtual social network. In Proceedings of the 11th

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Carmela Troncoso, Marios Isaakidis, George Danezis and Harry Halpin

Technologies Symposium , 2008. [111] S. J. Murdoch and P. Zielinski. Sampled traffic analysis by Internet-exchange-level adversaries. In 7th International Symposium on Privacy Enhancing Technologies , 2007. [112] S. Nakamoto. Bitcoin: A peer-to-peer electronic cash system, 2008. [113] A. Nambiar and M. K. Wright. Salsa: a structured approach to large-scale anonymity. In 13th ACM Conference on Computer and Communications Security (CCS , 2006. [114] A. Narayanan and V. Shmatikov. De-anonymizing social networks. In 30th IEEE Symposium on Security and

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Yongqiang Sun, Dina Liu and Nan Wang

1 Introduction With the rapid development of Web 2.0 technologies, social network services (SNSs) have become increasingly popular in the past few years. SNS refers to a web-based platform that allows individuals to “construct a public or semi-public profile within a bounded system; articulate a list of other users with whom they share a connection; and view and traverse their list of connections and those made by others within the system” ( Boyd & Ellison, 2007 , p. 211). As a convenient way to develop and maintain interpersonal relationships without the

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Why Privacy Is All But Forgotten

An Empirical Study of Privacy & Sharing Attitude

Kovila P.L. Coopamootoo and Thomas Groß

networking in the united states. First Monday , 11(9), 2006. [12] P. M. Bentler and G. Speckart. Models of attitude–behavior relations. Psychological review , 86(5):452, 1979. [13] W. Bos and C. Tarnai. Content analysis in empirical social research. International Journal of Educational Research , 31(8):659–671, 1999. [14] M. M. Bradley, M. Codispoti, B. N. Cuthbert, and P. J. Lang. Emotion and motivation i: defensive and appetitive reactions in picture processing. Emotion , 1(3):276, 2001. [15] S. J. Breckler. Empirical validation of affect