土耳其难民的社交媒体活动:一种计算分析与论证方法

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
M. A. Bülbül, S. Ismail
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引用次数: 0

摘要

本研究对土耳其难民的社交媒体活动进行了数据分析。为了实现这一目标,我们首先提出了一种方法来找到他们相关的公共账户并收集他们的活动,从而生成一个数据集。然后,我们对该数据集进行空间和时间分析,以阐明社交网络中讨论的最重要主题和事件。为了便于理解和比较,我们将结果用图形表示出来。我们的研究结果表明,我们可以通过难民在社交媒体上的反思来揭示特定时间和地点的最共享话题以及难民活动模式的变化。此外,该数据集有助于对土耳其难民进行更深入的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refugees’ social media activities in Turkey: a computational analysis and demonstration method
This study performs a data analysis on refugees in Turkey based on their social media activities. In order to achieve this, we first propose a method to find their relevant public accounts and collect their activities generating a dataset. Then, we perform spatial and temporal analysis over this dataset to shed light on the most important topics and events discussed in social networks. We present the results graphically for ease of understanding and comparison. Our results indicate that we can reveal the most shared topics over a specific time and place as well as the change of pattern in refugees’ activities through their reflection on social media. Moreover, this dataset facilitates a number of further and deeper analyses of the refugees in Turkey.
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来源期刊
Turkish Journal of Electrical Engineering and Computer Sciences
Turkish Journal of Electrical Engineering and Computer Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
2.90
自引率
9.10%
发文量
95
审稿时长
6.9 months
期刊介绍: The Turkish Journal of Electrical Engineering & Computer Sciences is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Accepts English-language manuscripts in the areas of power and energy, environmental sustainability and energy efficiency, electronics, industry applications, control systems, information and systems, applied electromagnetics, communications, signal and image processing, tomographic image reconstruction, face recognition, biometrics, speech processing, video processing and analysis, object recognition, classification, feature extraction, parallel and distributed computing, cognitive systems, interaction, robotics, digital libraries and content, personalized healthcare, ICT for mobility, sensors, and artificial intelligence. Contribution is open to researchers of all nationalities.
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