Hiring a team from social network: Incentive mechanism design for two-tiered social mobile crowdsourcing
Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …
Incentive mechanisms for large-scale crowdsourcing task diffusion based on social influence
Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
Degree centrality algorithms for homogeneous multilayer networks
Centrality measures for simple graphs/networks are well-defined and each has numerous
main-memory algorithms. However, for modeling complex data sets with multiple types of …
main-memory algorithms. However, for modeling complex data sets with multiple types of …
Maximizing multiple influences and fair seed allocation on multilayer social networks
The dissemination of information on networks involves many important practical issues, such
as the spread and containment of rumors in social networks, the spread of infectious …
as the spread and containment of rumors in social networks, the spread of infectious …
The best hop diffusion method for dynamic relationships under the independent cascade model
L Qiu, Y Liu, X Duan - Applied Intelligence, 2022 - Springer
The goal of the influence maximization problem is to identify a seed set that maximizes the
number of users who will be impacted. This issue is critical to the spread of information in …
number of users who will be impacted. This issue is critical to the spread of information in …
Degree Centrality Definition, and Its Computation for Homogeneous Multilayer Networks Using Heuristics-Based Algorithms
Centrality metrics for simple graphs/networks are well-defined and each has numerous main-
memory algorithms. M ulti L ayer N etworks (MLNs) are becoming popular for modeling …
memory algorithms. M ulti L ayer N etworks (MLNs) are becoming popular for modeling …
Degree Centrality Algorithms for Homogeneous Multilayer Networks [Degree Centrality Algorithms for Homogeneous Multilayer Networks]
Centrality measures for simple graphs/networks are well-defined and each has numerous
main-memory algorithms. However, for modeling complex data sets with multiple types of …
main-memory algorithms. However, for modeling complex data sets with multiple types of …
Consumers Team Detection Model Based on Trust for Multi‐Level
Due to rapid advances in technology, social networks have become important platforms for
daily communication, product marketing, and information dissemination. Targeted delivery of …
daily communication, product marketing, and information dissemination. Targeted delivery of …
[引用][C] Centralidad de individuos en redes sociales basada en modelos de dispersión de influencia
J Vera Nahuelcoy - 2022 - repositoriobibliotecas.uv.cl
La centralidad y la dispersión de influencia son dos de los conceptos más importantes en la
disciplina de análisis en redes sociales. La centralidad determina los actores más …
disciplina de análisis en redes sociales. La centralidad determina los actores más …