The higher education sustainability before and during the COVID-19 pandemic: A spanish and ecuadorian case
Information and communication technologies (ICTs) are key to create sustainable higher
education institutions (HEIs). Most researchers focused on the students' perspective …
education institutions (HEIs). Most researchers focused on the students' perspective …
Machine Learning for Computer and Cyber Security
BB Gupta, M Sheng - ed: CRC Press. Preface, 2019 - api.taylorfrancis.com
Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …
Towards quantum computing based community detection
Over the past decade, social network analysis has earned pivotal eminence in the area of
web mining and information retrieval. Community detection, being the indispensable part of …
web mining and information retrieval. Community detection, being the indispensable part of …
Community detection on large complex attribute network
A large payment network contains millions of merchants and billions of transactions, and the
merchants are described in a large number of attributes with incomplete values …
merchants are described in a large number of attributes with incomplete values …
CK-LPA: Efficient community detection algorithm based on label propagation with community kernel
With the rapid development of Web 2.0 and the rise of online social networks, finding
community structures from user data has become a hot topic in network analysis. Although …
community structures from user data has become a hot topic in network analysis. Although …
Discovering and tracking query oriented active online social groups in dynamic information network
The efficient identification of social groups with common interests is a key consideration for
viral marketing in online social networking platforms. Most existing studies in social groups …
viral marketing in online social networking platforms. Most existing studies in social groups …
Community detection using diffusion information
Community detection in social networks has become a popular topic of research during the
last decade. There exist a variety of algorithms for modularizing the network graph into …
last decade. There exist a variety of algorithms for modularizing the network graph into …
Community detection in facebook activity networks and presenting a new multilayer label propagation algorithm for community detection
The emergence of online social networks has revolutionized millions of web users' behavior
so that their interactions with each other produce huge amounts of data on different …
so that their interactions with each other produce huge amounts of data on different …
User interaction-oriented community detection based on cascading analysis
L Luo, K Liu, B Guo, J Ma - Information Sciences, 2020 - Elsevier
Detecting user communities in online social networks (OSNs) is of great importance for
understanding social dynamics. Compared to user connections, user interactions have been …
understanding social dynamics. Compared to user connections, user interactions have been …
Robust community detection based on improved user interaction, enhanced local path index and pattern mining in social networks
Community detection in online social networks leads to identifying hidden structures.
Combining user interactions and network topology improves community detection accuracy …
Combining user interactions and network topology improves community detection accuracy …