H
Hakim Hacid
Researcher at Zayed University
Publications - 103
Citations - 2109
Hakim Hacid is an academic researcher from Zayed University. The author has contributed to research in topics: Social network & Semantic similarity. The author has an hindex of 18, co-authored 98 publications receiving 1966 citations. Previous affiliations of Hakim Hacid include University of New South Wales & Bell Labs.
Papers
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Journal ArticleDOI
Information diffusion in online social networks: a survey
TL;DR: A survey of representative methods dealing with information diffusion in social networks and a taxonomy that summarizes the state-of-the-art is proposed, intended to help researchers in quickly understanding existing works and possible improvements to bring.
Proceedings ArticleDOI
A predictive model for the temporal dynamics of information diffusion in online social networks
Adrien Guille,Hakim Hacid +1 more
TL;DR: This work proposes a practical solution which aims to predict the temporal dynamics of diffusion in social networks using machine learning techniques and the inference of time-dependent diffusion probabilities from a multidimensional analysis of individual behaviors.
Journal ArticleDOI
Data integration in mashups
TL;DR: The objective of this study is to analyze the richnesses and weaknesses of the Mashup tools with respect to the data integration aspect.
Journal ArticleDOI
Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms
TL;DR: To review some of the most important contributions in this domain to understand the principles of SIR, a taxonomy to categorize these contributions, and an analysis of some of these contributions and tools with respect to several criteria are proposed.
Journal ArticleDOI
Why Web Services Need Social Networks
TL;DR: This work discusses how social computing elements into service-oriented computing principles is required to make Web services recommend the peers with whom they would like to collaborate in case of compositions.