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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >Analyzing users' activity in online social networks over time through a multi-agent framework
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Analyzing users' activity in online social networks over time through a multi-agent framework

机译：通过多代理框架分析用户在线社交网络中的活动

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摘要

The number of people and organizations using online social networks as a new way of communication is continually increasing. Messages that users write in networks and their interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary systems that collect, process, and analyze the information generated. The majority of existing tools analyze information related to an online event once it has finished or in a specific point of time (i.e., without considering an in-depth analysis of the evolution of users' activity during the event). They focus on an analysis based on statistics about the quantity of information generated in an event. In this article, we present a multi-agent system that automates the process of gathering data from users' activity in social networks and performs an in-depth analysis of the evolution of social behavior at different levels of granularity in online events based on network theory metrics. We evaluated its functionality analyzing users' activity in events on Twitter.
机译：使用在线社交网络作为一种新的通信方式的人数和组织的数量正在不断增加。用户在网络中写入的消息以及他们与其他用户的交互将留下记录的数字跟踪。为了了解这些虚拟环境中发生的事情，有必要收集，处理和分析所生成的信息的系统。现有的大多数工具都会在在线事件结束后或在特定时间点分析与在线事件相关的信息（即，不考虑对事件期间用户活动的演变进行深入分析）。他们专注于基于有关事件中生成的信息量的统计信息的分析。在本文中，我们提出了一种多代理系统，该系统可自动从社交网络中的用户活动收集数据的过程，并基于网络理论对在线事件中不同粒度级别的社交行为的演变进行深入分析。指标。我们评估了其功能，分析了Twitter事件中用户的活动。

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