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Emotion dynamics of public opinions on twitter
Recently, social media has been considered the fastest medium for information
broadcasting and sharing. Considering the wide range of applications such as viral …
broadcasting and sharing. Considering the wide range of applications such as viral …
Location-aware influence maximization over dynamic social streams
Influence maximization (IM), which selects a set of k seed users (aka, a seed set) to
maximize the influence spread over a social network, is a fundamental problem in a wide …
maximize the influence spread over a social network, is a fundamental problem in a wide …
This systematic map** literature aims to identify current research and directions for future
studies in terms of combating cyber propaganda in the social media, which is used by both …
studies in terms of combating cyber propaganda in the social media, which is used by both …
Solving submodular text processing problems using influence graphs
Submodular functions appear in a considerable number of important natural language
processing problems such as text summarization and dataset selection. Current graph …
processing problems such as text summarization and dataset selection. Current graph …
Temporal emotion dynamics in social networks
D Naskar - 2022 - riunet.upv.es
[ES] El análisis de sentimientos en redes sociales se ha estudiado ampliamente durante la
última década. A pesar de ello, las distintas categorías de sentimientos no se consideran …
última década. A pesar de ello, las distintas categorías de sentimientos no se consideran …
[PDF][PDF] On the Reselection of Seed Nodes in Independent Cascade Based Influence Maximization
Influence maximization serves as the main goal of a variety of social network activities such
as viral marketing. The independent cascade model for the influence spread assumes a one …
as viral marketing. The independent cascade model for the influence spread assumes a one …