Link prediction in time-evolving criminal network with deep reinforcement learning technique
The prediction of hidden or missing links in a criminal network, which represent possible
interactions between individuals, is a significant problem. The criminal network prediction …
interactions between individuals, is a significant problem. The criminal network prediction …
User behavior prediction model based on implicit links and multi-type rumor messages
Traditional prediction models of rumor forwarding are based solely on explicit network
topology, and with no consideration for homogeneity and antagonism among multi-type …
topology, and with no consideration for homogeneity and antagonism among multi-type …
C-RBFNN: A user retweet behavior prediction method for hotspot topics based on improved RBF neural network
Y Liu, J Zhao, Y Xiao - Neurocomputing, 2018 - Elsevier
The prediction of user behavior plays an important role in perceiving the popularity of a topic
and the changes of public opinion on the Internet. In this paper, focusing on user retweeting …
and the changes of public opinion on the Internet. In this paper, focusing on user retweeting …
User behavior prediction of social hotspots based on multimessage interaction and neural network
In network public-opinion analysis, the diversity of messages under social hot topics plays
an important role in user participation behavior. Considering the interactions among multiple …
an important role in user participation behavior. Considering the interactions among multiple …
Improving link prediction in social networks using local and global features: a clustering-based approach
S Ghasemi, A Zarei - Progress in Artificial Intelligence, 2022 - Springer
Link prediction problem has increasingly become prominent in many domains such as
social network analyses, bioinformatics experiments, transportation networks, criminal …
social network analyses, bioinformatics experiments, transportation networks, criminal …
Predicting Micro-blog Individual Retweet Behavior Based on User's Interest Drift
C Fu, Y Du, T Xu, C Xie - 2018 IEEE 4th International …, 2018 - ieeexplore.ieee.org
Micro-blog post retweet prediction is one of the key technologies for researching information
dissemination. The factors that affect retweet are multifaceted; However, the existing …
dissemination. The factors that affect retweet are multifaceted; However, the existing …
Predicting Genetic Disorders: A Link Mining Approach
M Sen, R Rajasekaran, AJR Reddy… - … on Intelligent and …, 2024 - ieeexplore.ieee.org
Genetic diseases are conditions caused by a spontaneous alteration or mutation in an
individual's DNA. People can inherit genetic disorders from parents, which means they are …
individual's DNA. People can inherit genetic disorders from parents, which means they are …
Predicting Transactions Among Agents in Patent Transfer Weighted Networks for New Energy
W Yuying, S Ping, H Xijun… - Data Analysis and …, 2018 - manu44.magtech.com.cn
[Objective] This paper examines the structure of weighted network for patent transfers as
well as the characteristics of agents, aiming to predict transaction opportunities and promote …
well as the characteristics of agents, aiming to predict transaction opportunities and promote …
A Novel PSO based Intelligence Link Prediction Algorithm in Real World Networks
D Choudhury, T Acharjee - 2022 - researchsquare.com
Link prediction is a critical challenge to analyse social networks with applications in areas
such as information retrieval, bioinformatics, e-commerce etc. To overcome the challenges …
such as information retrieval, bioinformatics, e-commerce etc. To overcome the challenges …
A New Method for Link Prediction: Employing Homophilic and Heterophilic Neighbors
In a social network, the prediction of a direct link between two nodes is important since it is
an indication of the potential for collaboration between them. To find an appropriate link …
an indication of the potential for collaboration between them. To find an appropriate link …