Link prediction on complex networks: an experimental survey
Complex networks have been used widely to model a large number of relationships. The
outbreak of COVID-19 has had a huge impact on various complex networks in the real …
outbreak of COVID-19 has had a huge impact on various complex networks in the real …
Link prediction in social networks: the state-of-the-art
In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …
dissolution links in future networks, is important for mining and analyzing the evolution of …
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 …
Mining user interests over active topics on social networks
Inferring users' interests from their activities on social networks has been an emerging
research topic in the recent years. Most existing approaches heavily rely on the explicit …
research topic in the recent years. Most existing approaches heavily rely on the explicit …
A comprehensive survey of link prediction techniques for social network
A growing trend of using social networking sites is attracting researchers to study and
analyze different aspects of social network. Besides many problems, link prediction is a …
analyze different aspects of social network. Besides many problems, link prediction is a …
Link prediction via linear optimization
Link prediction is an elemental challenge in network science, which has already found
applications in guiding laboratorial experiments, digging out drug targets, recommending …
applications in guiding laboratorial experiments, digging out drug targets, recommending …
Exploring a technology ecology for technology opportunity discovery: A link prediction approach using heterogeneous knowledge graphs
When a firm discovers and introduces new technology opportunities, it considers external
context, such as technological changes, as well as internal context of technology capability …
context, such as technological changes, as well as internal context of technology capability …
Link prediction methods and their accuracy for different social networks and network metrics
Currently, we are experiencing a rapid growth of the number of social‐based online
systems. The availability of the vast amounts of data gathered in those systems brings new …
systems. The availability of the vast amounts of data gathered in those systems brings new …
A new similarity measure for link prediction based on local structures in social networks
Link prediction is a fundamental problem in social network analysis. There exist a variety of
techniques for link prediction which applies the similarity measures to estimate proximity of …
techniques for link prediction which applies the similarity measures to estimate proximity of …
Time series based link prediction
PR da Silva Soares… - The 2012 international …, 2012 - ieeexplore.ieee.org
Link prediction is a task in Social Network Analysis that consists of predicting connections
that are most likely to appear considering previous observed links in a social network. The …
that are most likely to appear considering previous observed links in a social network. The …