Social network analysis using deep learning: applications and schemes
AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …
connected through online social networks. Due to very large number of users and huge …
Taxonomy and evaluation for microblog popularity prediction
As social networks become a major source of information, predicting the outcome of
information diffusion has appeared intriguing to both researchers and practitioners. By …
information diffusion has appeared intriguing to both researchers and practitioners. By …
Using multi-dimensional dynamic time warping to identify time-varying lead-lag relationships
J Stübinger, D Walter - Sensors, 2022 - mdpi.com
This paper develops a multi-dimensional Dynamic Time Warping (DTW) algorithm to identify
varying lead-lag relationships between two different time series. Specifically, this manuscript …
varying lead-lag relationships between two different time series. Specifically, this manuscript …
Senti2pop: sentiment-aware topic popularity prediction on social media
Topic popularity prediction is an important task on social media, which aims at predicting the
ongoing trends of topics according to logged historical text-based records. However, only …
ongoing trends of topics according to logged historical text-based records. However, only …
Unsupervised image classification by ideological affiliation from user-content interaction patterns
The proliferation of political memes in modern information campaigns calls for efficient
solutions for image classification by ideological affiliation. While significant advances have …
solutions for image classification by ideological affiliation. While significant advances have …
Sentiment Analysis of Twitter Data Using Machine Learning Approaches
Twitter is one of the most widely used social media microblogging platforms. It generates a
large amount of opinioned data every day in the form of tweets. This makes it a suitable …
large amount of opinioned data every day in the form of tweets. This makes it a suitable …
CROP: an efficient cross-platform event popularity prediction model for online media
The popularity analysis of social media is crucial for monitoring the spread of information,
which is beneficial to public concerns track and decision-making for online platforms …
which is beneficial to public concerns track and decision-making for online platforms …
Cross-platform event popularity analysis via dynamic time warping and neural prediction
Nowadays, the primary media for information dissemination is shifting to online platforms.
Events usually burst online through multiple modern online media. Therefore, predicting …
Events usually burst online through multiple modern online media. Therefore, predicting …
Topic Popularity Prediction Using Similarity Graph on Twitter
Abstract Information about what are the most popular topics is highly demanded and has a
variety of uses in different areas such as marketing, business and even politics since it is an …
variety of uses in different areas such as marketing, business and even politics since it is an …
Net-TF-SW: event popularity quantification with network structure
Event popularity quantification is essential in the determination of current trends in events on
social media and the internet. Particularly, it is important during a crisis to ensure …
social media and the internet. Particularly, it is important during a crisis to ensure …