Suchergebnisse

UYMS 2019 Turkish National Software Engineering Symposium Proceedings of the 13th Turkish National Software Engineering Symposium İzmir, Turkey, September 23-25, 2019 ; Real world networks are intrinsically dynamic, and they are mostly represented by dynamic graphs in virtual world. Analysis of these dynamic network data can give valuable information for decision support systems in many domains in criminology, politics, health, advertising and social networks etc. Community tracking is important to analyze and understand the dynamics of the group structures and predict the near futures of communities. With a successful analysis of these data, software engineering tools and decision support systems can produce more successful results for end users. In this study, we present a comparative study of two important and recent community tracking methods in terms of accuracy, algorithmic complexity and their characteristics. We use a benchmark dataset which have ground truth community information detected each time step as a test bed. ; Gerçek dünya ağları doğaları gereği dinamiktirler ve sanal ortamlarda çoğunlukla dinamik çizgelerle temsil edilirler. Bu dinamik ağlardaki verilerin analizi kriminoloji, politika, sağlık, reklamcılık ve sosyal ağlar vb. gibi pek çok alanda karar destek sistemleri için değerli bilgilerin elde edilmesine katkıda bulunur. Toplulukların takibi, ağda bulunan toplulukların dinamizmini ve eğilimlerini analiz etmek, anlamak ve bu toplulukların yakın geleceklerinin kestirimi için çok önemlidir. Bu verilerin başarılı bir şekilde analiz edilmesi halinde yazılım mühendisliği araçları ve karar destek sistemleri son kullanıcılar için daha sağlıklı sonuçlar üretir. Bu çalışmada, seçtiğimiz iki önemli ve güncel yöntemi doğruluğu, algoritmik karmaşası ve genel özellikleri bakımından karşılaştırmalı olarak inceledik. Biz bu çalışmada topluluk takibi üzerine geliştirilmiş ve her basamakta tespit edilen topluluk bilgisini içeren sentetik veri kümeleri kullandık.

12th Turkish National Software Engineering Symposium, UYMS 2018; Istanbul; Turkey; 10 September 2018 through 12 September 2018 ; Digital data represent our daily activities and tendencies. One of its main source is Online Social Networks (OSN) such as Facebook, YouTube etc. OSN are generating continuously high volume of data and define a dynamic virtual environment. This environment is mostly represented by graphs. Analysis of OSN data (i.e.,extracting any kind of relations and tendencies) defines valuable information for economic, socio-cultural and politic decisions. Community detection is important to analyze and understand underlying structure and tendencies of OSNs. When this information can be analysed successfully, software engineering tools and decision support systems can produce more successful results for end users. In this study, we present a survey of selected outstanding modularity-based static community detection algorithms and do comparative analysis among them in terms of modularity, running time and accuracy. We use different real-world OSN test beds selected from SNAP dataset collection such as Facebook Ego network, Facebook Pages network (Facebook gemsec), LiveJournal, Orkut and YouTube networks.

International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES'18), May 11-13, 2018 Safranbolu, Turkey ; As an instrument of democracy, voting is a critical issue. Although paper-based voting systems are still used commonly, e-voting systems have started to substitute under favor of improvements in the technology. This situation gives rise to need for secure, reliable, and transparent e-voting systems to make people trust. To do this, there are some security requirements that should be concerned and satisfied such as privacy, fairness, verifiability etc. This study has an educational intuition that analyzes those requirements, theoretical background information related to cryptographic schemes behind them and creates a place-based e-voting design which was implemented for kiosk voting. As a contribution, Paillier homomorphic cryptosystem is used in our system. Moreover, our study includes a detailed criticism for the implemented system in terms of chosen cryptosystems and design modules with security and e-voting requirements. ; 114 ; 119