Link prediction techniques, applications, and performance: A survey
Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …
Social network analysis: An overview
S Tabassum, FSF Pereira… - … Reviews: Data Mining …, 2018 - Wiley Online Library
Social network analysis (SNA) is a core pursuit of analyzing social networks today. In
addition to the usual statistical techniques of data analysis, these networks are investigated …
addition to the usual statistical techniques of data analysis, these networks are investigated …
GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction
J Chen, X Wang, X Xu - Applied Intelligence, 2022 - Springer
Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …
applications in biology, sociology, economy and industry. However, it is a challenge since …
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 …
Mining heterogeneous information networks: a structural analysis approach
Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …
complex, heterogeneous but often semi-structured information networks. However, most …
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
It is already true that Big Data has drawn huge attention from researchers in information
sciences, policy and decision makers in governments and enterprises. As the speed of …
sciences, policy and decision makers in governments and enterprises. As the speed of …
When will it happen? relationship prediction in heterogeneous information networks
Link prediction, ie, predicting links or interactions between objects in a network, is an
important task in network analysis. Although the problem has attracted much attention …
important task in network analysis. Although the problem has attracted much attention …
Multidimensional networks: foundations of structural analysis
Complex networks have been receiving increasing attention by the scientific community,
thanks also to the increasing availability of real-world network data. So far, network analysis …
thanks also to the increasing availability of real-world network data. So far, network analysis …
[HTML][HTML] Social dynamics of digg
T Hogg, K Lerman - EPJ Data Science, 2012 - Springer
Online social media provide multiple ways to find interesting content. One important method
is highlighting content recommended by user's friends. We examine this process on one …
is highlighting content recommended by user's friends. We examine this process on one …
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
Community discovery in complex networks is the problem of detecting, for each node of the
network, its membership to one of more groups of nodes, the communities, that are densely …
network, its membership to one of more groups of nodes, the communities, that are densely …