Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, Punjab, India "/> School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India "/>
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2024 Volume 39
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REVIEW   Open Access    

Information diffusion analysis: process, model, deployment, and application

  • Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, Punjab, India

  • School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

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  • Abstract: The information deployment on social networks through word-of-mouth spreading by online users has contributed well to forming opinions, social groups, and connections. This process of information deployment is known as information diffusion. Its process and models play a significant role in social network analysis. Seeing this importance, the present paper focuses on the process, model, deployment, and applications of information diffusion analysis. First, this article discusses the background of the diffusion process, such as process, components, and models. Next, information deployment in social networks and their application have been discussed. A comparative analysis of literature corresponding to applications like influence maximization, link prediction, and community detection is presented. A brief description of performative evaluation metrics is illustrated. Current research challenges and the future direction of information diffusion analysis regarding social network applications have been discussed. In addition, some open problems of information diffusion for social network analysis are also presented.
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  • Cite this article

    Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Samya Muhuri. 2024. Information diffusion analysis: process, model, deployment, and application. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000109
    Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Samya Muhuri. 2024. Information diffusion analysis: process, model, deployment, and application. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000109
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Information diffusion analysis: process, model, deployment, and application

  • Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, Punjab, India

  • School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

  • Received: 30 October 2023
  • Revised: 03 October 2024
  • Accepted: 07 October 2024
  • Published online: 22 January 2025
The Knowledge Engineering Review  39,  2024, 39(1)  |  Cite this article

Abstract: Abstract: The information deployment on social networks through word-of-mouth spreading by online users has contributed well to forming opinions, social groups, and connections. This process of information deployment is known as information diffusion. Its process and models play a significant role in social network analysis. Seeing this importance, the present paper focuses on the process, model, deployment, and applications of information diffusion analysis. First, this article discusses the background of the diffusion process, such as process, components, and models. Next, information deployment in social networks and their application have been discussed. A comparative analysis of literature corresponding to applications like influence maximization, link prediction, and community detection is presented. A brief description of performative evaluation metrics is illustrated. Current research challenges and the future direction of information diffusion analysis regarding social network applications have been discussed. In addition, some open problems of information diffusion for social network analysis are also presented.

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    • This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
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    Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Samya Muhuri. 2024. Information diffusion analysis: process, model, deployment, and application. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000109
    Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, Samya Muhuri. 2024. Information diffusion analysis: process, model, deployment, and application. The Knowledge Engineering Review 39(1), doi: 10.1017/S0269888924000109
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