Results 271 to 280 of about 7,799,039 (309)

Building trust/distrust relationships on signed social service network through privacy-aware link prediction process

Applied Soft Computing, 2021
With the ever-increasing popularity of social software, we can easily establish a s igned s ocial n etwork (SSN) by capturing users’ attitudes (i.e., trust/distrust, friend/enemies, consent/opposition) toward other people.
Huaizhen Kou, Hanwen Liu, Yucong Duan, Wenwen Gong, Yanwei Xu, Xiaolong Xu, Lianyong Qi   +6 more
semanticscholar   +1 more source

Virtual-Link Representation for Link Prediction

2019 IEEE International Conference on Big Data (Big Data), 2019
Link prediction predicts the likelihood of a future association between two nodes in a network. It plays an important role in mining and analyzing the evolution of networks and it is the fundament of many applications, including bioinformatics, e-commerce, security domain and co-authorship networks. The past few decades has witnessed the development of
Can Yao, Hai Huang, Longxuan Ma, Ze Yang, Lei Zhang   +4 more
openaire   +1 more source

Technological links and predictable returns

Journal of Financial Economics, 2017
Employing a classic measure of technological closeness between firms, we show that the returns of technology-linked firms have strong predictive power for focal firm returns. A long-short strategy based on this effect yields monthly alpha of 117 basis points.
Charles M.C. Lee, Stephen Teng Sun, Rongfei Wang, Ran Zhang   +3 more
openaire   +1 more source

Predictive tests for linked changes

Statistics in Medicine, 2008
AbstractMutations may confer a survival advantage to an organism and they can also reduce their fitness. In particular, we are interested in identifying correlated changes in genomic sequences. We consider the general situation where the observed characters at two genomic positions are summarized by an r × c contingency table.
C, Ahn, F, Seillier-Moiseiwitsch, G G, Koch   +2 more
openaire   +2 more sources

PREDICTION BASED LINK STATE UPDATE

International Journal of Computers and Applications, 2007
The deployment of communication-intensive, real-time multimedia applications on the Internet presents challenges to network routing, as these applications often demand more bandwidth and are less tolerant to delay, delay jitter and loss than traditional data applications.
Q. Wang, J. Vincent, G. King
openaire   +1 more source

Internal link prediction: A new approach for predicting links in bipartite graphs

Intelligent Data Analysis, 2013
Many real-world complex networks, like actor-movie or file-provider relations, have a bipartite nature and evolve over time. Predicting links that will appear in them is one of the main approach to understand their dynamics. Only few works address the bipartite case, though, despite its high practical interest and the specific challenges it raises.
Allali, Oussama, Magnien, Clémence, Latapy, Matthieu   +2 more
openaire   +2 more sources

Social Link Prediction

2019
This chapter contributes toward introducing some learning automata-based algorithms for link prediction in social networks. Since one of the common link prediction methods for predicting hidden links use a deterministic and static graph where a snapshot of the network is analyzed to find hidden or future links, we study link prediction in social ...
Alireza Rezvanian, Behnaz Moradabadi, Mina Ghavipour, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi   +4 more
openaire   +1 more source

Genetic prediction in X‐linked agammaglobulinaemia

American Journal of Medical Genetics, 1988
AbstractS21 (DXS17) and pXG12 (DXS94), two probes linked to the locus of X‐linked agammaglobulinaemia (XLA), were used for genetic prediction in 13 such families. A method of allowing for nonallelic genetic heterogeneity was demonstrated in the calculation of the genetic risks, specifying a certain proportion of unlinked families.
Y. L. Lau, R. J. Levinsky, S. Malcolm, J. Goodship, R. Winter, M. Pembrey, Giovanni Neri, James F. Reynolds   +7 more
openaire   +4 more sources

Joint Neighborhood Subgraphs Link Prediction

2017
A crucial computational task for relational and network data is the “link prediction problem” which allows for example to discover unknown interactions between proteins to explain the mechanism of a disease in biological networks, or to suggest novel products for a customer in a e-commerce recommendation system.
Tran-Van, Dinh, Sperduti, Alessandro, Costa, Fabrizio   +2 more
openaire   +2 more sources

Community-Adaptive Link Prediction

Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology, 2017
Link prediction is one of hot research topics in social network analysis. Link prediction problem is to find a small set of node pairs in the networks that are not directly connected, but will be very likely to be connected in the future. To improve the prediction accuracy, many works have attempted to consider the community information, if available ...
Hyoungjun Jeon, Taewhan Kim
openaire   +1 more source