The prosperity of services and the frequent interaction between services contribute to the formation of the service ecosystem. Service ecosystem is a complex dynamic system with continuous evolution. Service providers voluntarily or compulsorily participate in this evolutionary process and face great opportunities and challenges. Existing studies on service ecosystem evolution are more about facilitating programmers to use services and have achieved remarkable results. However, the exploration of service ecosystem evolution from the business level is still insufficient. To make up this deficiency, in this paper, we present a method for analyzing service ecosystem evolution patterns from the perspective of the service community. Firstly, we train a service community evolution prediction model based on the community evolution sequences. Secondly, we explain the prediction model, showing how different factors affect the evolution of the service community. Finally, using the interpretable predictions and prior knowledge, we present how to assist service providers in making business decisions. Experiments on real-world data show that this work can indeed provide business-level insights into service ecosystem evolution. Additionally, all the data and well-documented code used in this paper have been fully open source.
The Role of Mobile and Social Media Services in Enhancing Freedom of Expression: Opportunities, Challenges, and Prospects for Local Platform Development in Uganda's Digital Ecosystem
Toward Open Science in the AEC Community: An Ecosystem for Sustainable Digital Knowledge Sharing and Reuse
Kent State University（肯特州立大学）；Louisiana State University（路易斯安那州立大学）；The University of Texas at San Antonio（德克萨斯大学圣安东尼奥分校）；Stevens Institute of Technology（史蒂文斯理工学院）；Rochester Institute of Technology（罗切斯特理工学院）；Carnegie Mellon University（卡内基梅隆大学）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；National Academy of Construction（国家建设科学院）
Building Digital Societies as Ecosystems: How Recognition and Repeat Relationships Sustain Cross-Community Work in Open Source
Geneva School of Economics and Management, University of Geneva（日内瓦大学经济管理学院）；Institute for Applied Data Science and Finance, Bern University of Applied Sciences（伯尔尼应用科学大学应用数据科学与金融研究所）；armasuisse Science and Technology, EPFL Innovation Park（瑞士国防部武装部队科技司）
Enable an Open Software Defined Mobility Ecosystem through VEC-OF
Futurewei Technologies Inc.（华为技术未来公司）
OEM和新进入者可以将移动即服务市场（MaaS）作为切入点，升级其E/E（电气和电子）架构为C/C（计算和通信）架构，为其生产和服务模式构建一个开放的软件定义和数据驱动的软件平台，使用车辆，道路，云和网络，不断完善自动驾驶等核心技术，为MaaS运营商提供经济实惠的敏捷平台。在本文中，我们提出了一个新的框架，VEC-OF（Vehicle-Edge-Cloud Open Framework），这是一个新的以数据和人工智能为中心的车辆软件框架，通过协作车辆，基础设施和云功能和智能，实现更安全，更高效，连接和可信的MaaS
