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 …
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 …
Inferring Multilayer Spreading Networks in Online Social Media
Y Xia - 2021 - aaltodoc.aalto.fi
Beneath the item sharing activities in online social media underlies a spreading network that
connects people of common interests and opinions, where items spread through its edges …
connects people of common interests and opinions, where items spread through its edges …
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 …
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) …
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 …
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 …
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 …
Leveraging motifs to model the temporal dynamics of diffusion networks
Information diffusion mechanisms based on social influence models are mainly studied
using likelihood of adoption when active neighbors expose a user to a message. The …
using likelihood of adoption when active neighbors expose a user to a message. The …
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 …