Multi Agent System for Historical Information Retrieval from Online Social Networks

Abstract. In the last few years, there has seen a marked increase in the usage of Online Social Networks (OSN). Coping with the real time changes of a huge amount of personal information requires new methods for retrieving information. Our previous approach for retrieving information from OSN was a centralized system that controlled and retrieved information of each user's profile once. In order to enhance that approach, a Multi Agent System (MAS) was chosen for its ability to deploy agents to monitor profiles continuously. Since MAS is difficult to implement correctly, a formal specification of an OSN System was constructed to help us investigate the feasibility of using MAS technology in retrieving historical information from OSN sites.

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“…The OSNRS is implemented according to the constructed formal specification. Full description of the OSNRS is shown in [19].…”

Section: Discussionmentioning

confidence: 99%

Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks

Abdulrahman

Holton

Neagu

et al. 2011

Agent and Multi-Agent Systems: Technologies and Applications

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“…The framework consists on a set of agents that are developed using Magentix2 platform 1 . Magentix2 is a platform for open MAS that supports flexible interaction protocols and conversations, indirect communication and interactions among agent organizations [16].…”

Section: Mas Frameworkmentioning

confidence: 99%

Analyzing users’ activity in online social networks over time through a multi-agent framework

2016

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Abstract. The number of people and organizations using on-line 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 on-line 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 (MAS) 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 on-line events based on network theory metrics. We evaluated its functionality analyzing users' activity in events on Twitter.

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“…En concreto, los agentes inteligentes se consideran entidades que tratan de imitar procesos de razonamiento o comportamientos humanos. Los agentes ya han sido empleados con éxito en diferentes ámbitos para facilitar tareas a los usuarios de recolección, supervisión y filtrado de información [Maes, 1994] [Cheong, 1996] [Ruqayya et al, 2011 . Los agentes permiten el modelado y diseño de sistemas flexibles y personalizados para la gestión y el acceso a la información [Sycara, 2001], generando diferentes estrategias como la de recomendación sobre la diversidad de información disponible [De la Rosa et al, 2003].…”

Section: Sistemas Multi-agente Basados En Organizacionesunclassified

Recuperación inteligente de contenidos digitales educativos

González¹

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Multi Agent System for Historical Information Retrieval from Online Social Networks

Cited by 7 publications

References 11 publications

Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks

Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks

Analyzing users’ activity in online social networks over time through a multi-agent framework

Recuperación inteligente de contenidos digitales educativos

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