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Local dependency in networks

References Abdallah, S. (2011). Generalizing unweighted network measures to capture the focus in interactions, Social Network Analysis and Mining 1(4): 255-269. Bar-Yossef, Z. andMashiach, L.-T. (2008). Local approximation of PageRank and reverse PageRank, Proceedings of the 17th ACM Conference on Information and Knowledge Management, Napa Valley, CA, USA, pp. 279-288. Barabási, A.-L. and Frangos, J. (2002). Linked: The New Science of Networks Science Of Networks, Basic Books, New York, NY

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#DontTweetThis: Scoring Private Information in Social Networks

References [1] J. H. Abawajy, M. I. H. Ninggal, Z. A. Aghbari, A. B. Darem, and A. Alhashmi. Privacy threat analysis of mobile social network data publishing. In SecureComm , 2017. [2] M. E. Acer, E. Stark, A. P. Felt, S. Fahl, R. Bhargava, B. Dev, M. Braithwaite, R. Sleevi, and P. Tabriz. Where the wild warnings are: Root causes of chrome https certificate errors. In ACM CCS , pages 1407–1420. ACM, 2017. [3] H. Almuhimedi, S. Wilson, B. Liu, N. Sadeh, and A. Acquisti. Tweets are forever: a large-scale quantitative analysis of deleted tweets

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Public Opinion Evolution Based on Complex Networks

Sociophysics Model with Convincing Single Opinions. - Int. J. Mod. Phys. C, Vol. 12, 2001, No 7, pp. 1091-1102. 8. Albert, R., A. Barabasi. Statistical Mechanics of Complex Networks. - Reviews of Modern Physics, Vol. 74, 2002, No 1, pp. 47-97. 9. Ahme d, E., A. S. Hegazi, A. S. Elgazzar. An Epidemic Model on Small-World Networks and Ring Vaccination. - Int. J. Mod. Phys. C, Vol. 13, 2002, No 2, pp. 189-196. 10. Elgazzar, A. S. Applications of Small-World Networks to Some Socio-Economic Systems. - Physica A, Vol. 324, 2003, No 1

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Exchangeable models of financial correlations matrices. Bayesian nonparametric models and network derived measures of financial assets

References Aldous, D. J. (1981). Representations for partially exchangeable arrays of random variables. Journal of Multivariate Analysis , 11 (4), 581-598. Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues. De Finetti, B. (2017). Theory of probability: A critical introductory treatment (Vol. 6). John Wiley & Sons.Aldag, R.J., & Stearns, T.M. (1991). Management (2 nd ed.). Cincinnati, OH: South-Western Publishing. Fiedor, P. (2014). Networks in financial markets based on the mutual

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Application of artificial neural networks to assessment of ship manoeuvrability qualities

References Abramowski T.: Application of Artificial Neural Networks for Determination of Propeller's Crash-ahead, Crash-back and Backing Performance , Ship Technology Research , Vol.48, No.4, November 2001 Mesbahi E., Atlar M.: Artificial neural networks: applications in marine design and modelling , 1st Int. Conf. Computer Applications and Information Technology in the Maritime Industries, Potsdam 2000 Osowski S.: Neural networks in algorithmic form (in Polish). Scientific

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Security Evaluation of Wireless Network Access Points

References [1] “Internet of Things - Lietiskais internets (IoT),” May 2016. [Online]. Available: https://cert.lv/uploads/Ieteikumi/OUCH-201605_lv.pdf [Accessed: January 25, 2017]. (in Latvian). [2] S. Fluhrer, I. Mantin, and A. Shamir, “Weaknesses in the key scheduling algorithm of RC4” Lecture Notes in Computer Science, pp. 1-24, 2001. https://doi.org/10.1007/3-540-45537-x_1 [3] Wi-Fi Alliance, “Wi-Fi Protected Access: Strong, standards-based, interoperable security for today’s Wi-Fi networks,” White paper

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Modeling of value flows in logistics networks. Comparison of basic tools

References 1. Ahamed A. F. M. J., Skallerud K., (2013), Effect of Distance and Communication Climate on Export Performance: The Mediating Role of Relationship Quality , “Journal of Global Marketing”, Vol. 26, Iss. 5., pp. 284–300, DOI: 10.1080/08911762.2013.836032. 2. Allee V. (2009), Value Network Analysis and Value Conversion in tangible and intangible assets , „Journal of Intellectual Capital”, Vol. 9, Iss. 2, pp. 5-24, DOI: 10.1108/14691930810845777 3. Allee V. (2000), The value evolution. Addressing larger implications of an intellectual

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Is the Positive Network the Inverse of Negative Network?

References Bonacich P. and P. Lloyd (2004) ‘Calculating status with negative relations’. Social Networks, 26(4): 331 - 338. Bryson, B. (1996) ‘Anything But Heavy Metal: Symbolic Exclusion and Musical Dislikes’. American Sociological Review, 61(5): 884 - 899. Burt, R.S. (1990) ‘Detecting Role Equivalence’. Social Networks, 12(1): 83 - 94. Cartwright, D. and F. Harary (1956) ‘Structural balance: a generalization of Heider's theory’. Psychological Review, 63(5): 277 - 293. Csaba, Z.L. and J. Pál (2010) ‘How Negative Networks Are

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Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases

1 Introduction Citations, collaborations, Web links, and other phenomena of interest to the field of informetrics can be studied from a network perspective ( Otte & Rousseau, 2002 ). Co-authorship networks are among the most studied types of networks and can be considered an approximation of collaboration networks ( Katz & Martin, 1997 ). During the latest decades, it has been shown that co-authorship networks share several typical characteristics with other kinds of complex networks. These include high clustering coefficients, low average shortest path

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Revealing Employer’s Name in Social Networks

References Adler, P. S., & Kwon, S.-W. (2002). Social capital: Prospects for a new concept. Academy of Management Review, 27(1), 17-40. https://doi.org/10.5465/amr.2002.5922314 Backhaus, K., & Tikoo, S. (2004). Conceptualizing and researching employer branding. Career Development International, 9(5), 501-517. http://dx.doi.org/10.1108/13620430410550754 Boyd, D. M., & Ellison, N. B. (2007). Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication, 13(1), 210

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