A survey of information cascade analysis: Models, predictions, and recent advances
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …
microblogs and scientific papers, to online business, such as viral marketing and advertising …
Deepcas: An end-to-end predictor of information cascades
Information cascades, effectively facilitated by most social network platforms, are recognized
as a major factor in almost every social success and disaster in these networks. Can …
as a major factor in almost every social success and disaster in these networks. Can …
[HTML][HTML] A Survey of Deep Learning-Based Information Cascade Prediction
Z Wang, X Wang, F Xiong, H Chen - Symmetry, 2024 - mdpi.com
Online social media have significantly boosted the creation and transmission of information,
accelerating the dissemination and interaction of vast amounts of data, thereby making the …
accelerating the dissemination and interaction of vast amounts of data, thereby making the …
On the challenges of predicting microscopic dynamics of online conversations
To what extent can we predict the structure of online conversation trees? We present a
generative model to predict the size and evolution of threaded conversations on social …
generative model to predict the size and evolution of threaded conversations on social …
Querying Structural Diversity in Streaming Graphs
Structural diversity of a vertex refers to the diversity of connections within its neighborhood
and has been applied in various fields such as viral marketing and user engagement. The …
and has been applied in various fields such as viral marketing and user engagement. The …
A comparison of methods for cascade prediction
R Guo, P Shakarian - … on Advances in Social Networks Analysis …, 2016 - ieeexplore.ieee.org
Information cascades exist in a wide variety of platforms on Internet. A very important real-
world problem is to identify which information cascades can “go viral”. A system addressing …
world problem is to identify which information cascades can “go viral”. A system addressing …
Systems and methods for order-of-magnitude viral cascade prediction in social networks
US10437945B2 - Systems and methods for order-of-magnitude viral cascade prediction in
social networks - Google Patents US10437945B2 - Systems and methods for order-of-magnitude …
social networks - Google Patents US10437945B2 - Systems and methods for order-of-magnitude …
[PDF][PDF] 基于信息级联的网络意见传播及扭曲效应国外研究进展
魏建良， 朱庆华 - 情报学报, 2019 - qbxb.istic.ac.cn
摘要当前, 信息级联作为社交网络信息传播的重要形式越来越得到研究者的关注.
大量个体的模仿行为使得社交网络中信息传播影响急剧放大, 同时也带来了巨大的网络意见波动 …
大量个体的模仿行为使得社交网络中信息传播影响急剧放大, 同时也带来了巨大的网络意见波动 …
An empirical evaluation of social influence metrics
Predicting when an individual will adopt a new behavior is an important problem in
application domains such as marketing and public health. This paper examines the …
application domains such as marketing and public health. This paper examines the …
Toward early and order-of-magnitude cascade prediction in social networks
When a piece of information (microblog, photograph, video, link, etc.) starts to spread in a
social network, an important question arises: will it spread to “viral” proportions—where …
social network, an important question arises: will it spread to “viral” proportions—where …