Limits of Multilayer Diffusion Network Inference in Social Media Research
Abstract Information on social media spreads through an underlying diffusion network that
connects people of common interests and opinions. This diffusion network often comprises …
connects people of common interests and opinions. This diffusion network often comprises …
Applicability of multilayer diffusion network inference to social media data
Information on social media spreads through an underlying diffusion network that connects
people of common interests and opinions. This diffusion network often comprises multiple …
people of common interests and opinions. This diffusion network often comprises multiple …
Feature-enhanced probabilistic models for diffusion network inference
L Wang, S Ermon, JE Hopcroft - … PKDD 2012, Bristol, UK, September 24 …, 2012 - Springer
Cascading processes, such as disease contagion, viral marketing, and information diffusion,
are a pervasive phenomenon in many types of networks. The problem of devising …
are a pervasive phenomenon in many types of networks. The problem of devising …
MMRate: Inferring multi-aspect diffusion networks with multi-pattern cascades
Inferring diffusion networks from traces of cascades has been extensively studied to better
understand information diffusion in many domains. A widely used assumption in previous …
understand information diffusion in many domains. A widely used assumption in previous …
Representation learning for information diffusion through social networks: an embedded cascade model
S Bourigault, S Lamprier, P Gallinari - … on Web Search and Data Mining, 2016 - dl.acm.org
In this paper, we focus on information diffusion through social networks. Based on the well-
known Independent Cascade model, we embed users of the social network in a latent space …
known Independent Cascade model, we embed users of the social network in a latent space …
Modeling information diffusion in social media: data-driven observations
Accurately modeling information diffusion within and across social media platforms has
many practical applications, such as estimating the size of the audience exposed to a …
many practical applications, such as estimating the size of the audience exposed to a …
Learning multiple factors-aware diffusion models in social networks
CK Chou, MS Chen - IEEE Transactions on Knowledge and …, 2017 - ieeexplore.ieee.org
Information diffusion is a natural phenomenon occurring in social networks. The adoption
behavior of a node toward an information piece in a social network can be affected by …
behavior of a node toward an information piece in a social network can be affected by …
Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model
Inferring diffusion network structure from observed cascades has attracted tremendous
attention due to its utmost significance for many applications in online social network (OSN) …
attention due to its utmost significance for many applications in online social network (OSN) …
Community level diffusion extraction
How does online content propagate on social networks? Billions of users generate,
consume, and spread tons of information every day. This unprecedented scale of dynamics …
consume, and spread tons of information every day. This unprecedented scale of dynamics …
MIDMod-OSN: a microscopic-level information diffusion model for online social networks
As online social networks continue to be commonly used for the dissemination of information
to the public, understanding the phenomena that govern information diffusion is crucial for …
to the public, understanding the phenomena that govern information diffusion is crucial for …