scholarly journals Modeling text embedded information cascades

2019 ◽  
Author(s):  
◽  
Shaobin Xu
Keyword(s):  
Information Cascades

Ultrametricity of Information Cascades

2013 ◽  
Author(s):  
Rumi Ghosh ◽  
Bernardo A. Huberman
Keyword(s):  
Information Cascades

Characterizing Non-Myopic Information Cascades in Bayesian Learning

2019 ◽  
Author(s):  
Ilai Bistritz ◽  
Nasimeh Heydaribeni ◽  
Achilleas Anastasopoulos
Keyword(s):  
Bayesian Learning ◽  
Information Cascades

scholarly journals A Survey of Information Cascade Analysis

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Fan Zhou ◽  
Xovee Xu ◽  
Goce Trajcevski ◽  
Kunpeng Zhang
Keyword(s):  
Information Diffusion ◽  
Research Work ◽  
Viral Marketing ◽  
Graph Representation ◽  
Digital Information ◽  
Information Cascades ◽  
Challenges And Opportunities ◽  
Scientific Papers ◽  
Popularity Prediction ◽  
Types Of Information

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—offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades. Abundant research efforts, both academic and industrial, have aimed to reach a better understanding of the mechanisms driving the spread of information and quantifying the outcome of information diffusion. This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes , through graph representation , to deep learning-based approaches . Specifically, we first formally define different types of information cascades and summarize the perspectives of existing studies. We then present a taxonomy that categorizes existing works into the aforementioned three main groups as well as the main subclasses in each group, and we systematically review cutting-edge research work. Finally, we summarize the pros and cons of existing research efforts and outline the open challenges and opportunities in this field.

scholarly journals Delayed information cascades in Flickr: Measurement, analysis, and modeling

2012 ◽  
Vol 56 (3) ◽  
pp. 1066-1076 ◽  
Author(s):  
Meeyoung Cha ◽  
Fabrício Benevenuto ◽  
Yong-Yeol Ahn ◽  
Krishna P. Gummadi
Keyword(s):  
Information Cascades ◽  
Delayed Information ◽  
Measurement Analysis

scholarly journals Learning Ideological Embeddings from Information Cascades

2021 ◽  
Author(s):  
Corrado Monti ◽  
Giuseppe Manco ◽  
Cigdem Aslay ◽  
Francesco Bonchi
Keyword(s):  
Information Cascades

scholarly journals When Coincidence has Meaning: Understanding Emergence Through Networks of Information Token Recurrence

2020 ◽  
Author(s):  
Markus Luczak-Roesch
Keyword(s):  
Complex System ◽  
Causal Relationship ◽  
Relationship Building ◽  
Information Cascades ◽  
Level System ◽  
Mathematical Properties ◽  
Tensor Theory ◽  
Novel Approach ◽  
Theoretical Assumptions ◽  
Micro Level

In this paper I conceptualise a novel approach for capturing coincidences between events that have not necessarily an observed causal relationship. Building on the Transcendental Information Cascades approach I outline a tensor theory of the interaction between rare micro-level events and macro-level system changes. Afterwards, I discuss a number of application areas that are promising candidates for the validation of the theoretical assumptions outlined here in practice. This is preliminary work that is sought to lay the foundation to discover universal mathematical properties of coincidences that have a measurable impact on the macroscopic state of a complex system and are therefore to be considered meaningful.

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