Link prediction in complex networks: A survey
L Lü, T Zhou - Physica A: statistical mechanics and its applications, 2011 - Elsevier
Link prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …
and computer science communities. The algorithms can be used to extract missing …
A comprehensive survey of edge prediction in social networks: Techniques, parameters and challenges
B Pandey, PK Bhanodia, A Khamparia… - Expert Systems with …, 2019 - Elsevier
Recent development in the area of social networks has sought attention of the researchers
to crunch and analyse the data and information of the users to retrieve relevant knowledge …
to crunch and analyse the data and information of the users to retrieve relevant knowledge …
Evaluating link prediction methods
Link prediction is a popular research area with important applications in a variety of
disciplines, including biology, social science, security, and medicine. The fundamental …
disciplines, including biology, social science, security, and medicine. The fundamental …
Friendship prediction and homophily in social media
Social media have attracted considerable attention because their open-ended nature allows
users to create lightweight semantic scaffolding to organize and share content. To date, the …
users to create lightweight semantic scaffolding to organize and share content. To date, the …
[图书][B] Fundamentals of complex networks: models, structures and dynamics
Complex networks such as the Internet, WWW, transportation networks, power grids,
biological neural networks, and scientific cooperation networks of all kinds provide …
biological neural networks, and scientific cooperation networks of all kinds provide …
Link prediction in weighted networks: The role of weak ties
L Lü, T Zhou - Europhysics Letters, 2010 - iopscience.iop.org
Plenty of algorithms for link prediction have been proposed and were applied to various real
networks. Among these algorithms, the weights of links are rarely taken into account. In this …
networks. Among these algorithms, the weights of links are rarely taken into account. In this …
Towards time-aware link prediction in evolving social networks
T Tylenda, R Angelova, S Bedathur - … of the 3rd workshop on social …, 2009 - dl.acm.org
Prediction of links-both new as well as recurring-in a social network representing
interactions between individuals is an important problem. In the recent years, there is …
interactions between individuals is an important problem. In the recent years, there is …
Supervised link prediction using structured‐based feature extraction in social network
Social network analysis (SNA) has attracted a lot of attention in several domains in the past
decades. It can be of 2‐folds: one is content‐based, and another one is structured‐based …
decades. It can be of 2‐folds: one is content‐based, and another one is structured‐based …
Link weight prediction using supervised learning methods and its application to yelp layered network
Real-world networks feature weights of interactions, where link weights often represent
some physical attributes. In many situations, to recover the missing data or predict the …
some physical attributes. In many situations, to recover the missing data or predict the …