Design and development of a mobile peer-to-peer social networking application

Tsai, Flora S.; Han, Wenchou; Xu, Junwei; Chua, Huey Eng

doi:10.1016/j.eswa.2009.02.093

Cited by 76 publications

(34 citation statements)

References 11 publications

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“…La pantalla táctil se ha vuelto indispensable en reemplazo de los teclados tradicionales (teclados qwerty) para una interacción más amigable entre el usuario y el dispositivo (Tsai et al, 2009). El GPS, sistema de posicionamiento global, informa sobre la ubicación del usuario a través de satélites, que proporcionan la latitud, longitud y altitud de un objeto (Ofi cina de Coordinación Nacional de Posicionamiento, Navegación y Cronometría por Satélite 2011).…”

Section: Dispositivos Móviles Inteligentesunclassified

Inferencia de contexto en aplicaciones móviles inteligente

Solís-Villanueva¹,

Arakaki²,

Valverde³

2013

Interfases

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Palabras clave: Aplicaciones informáticas dependientes del contexto / dispositivos móviles / redes neuronales artifi ciales. ResumenEl presente artículo propone un modelo de un sistema basado en técnicas de inteligencia artifi cial para inferir el contexto del usuario y optimizar el desarrollo de aplicaciones dependientes del contexto en los dispositivos móviles. En el documento se analiza la viabilidad de la aplicación de las redes neuronales artifi ciales en la optimización de este tipo de aplicaciones; el objetivo es construir un marco general de inferencia alternativo a los ya existentes, con el fi n de proporcionar una infraestructura básica para facilitar el desarrollo de aplicaciones dependientes del contexto (contextaware), mediante la integración de la información procedente del entorno.INTERFASES 6-revista completa.indd 9 INTERFASES 6-revista completa.indd 9

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Section: Dispositivos Móviles Inteligentesunclassified

Inferencia de contexto en aplicaciones móviles inteligente

Solís-Villanueva¹,

Arakaki²,

Valverde³

2013

Interfases

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“…Taking an opposing view, Tsai et al [11] created a Mobile Social Software (MoSoSo) application that runs on mobile devices. The application "allows users to discover, communicate and share resources with each other".…”

Section: Related Workmentioning

confidence: 99%

Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services

Dobbins

Merabti

Fergus

et al. 2012

2012 IEEE International Conference on Pervasive Computing and Communications Workshops

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-The explosion of mobile computing and the sharing of content ubiquitously has enabled users to create and share memories instantly. Access to different data sources, such as location, movement, and physiology, has helped to create a data rich society where new and enhanced memories will form part of everyday life. Peer-to-Peer (P2P) systems have also increased in popularity over the years, due to their ad hoc and decentralized nature. Mobile devices are "smarter" and are increasingly becoming part of P2P systems; opening up a whole new dimension for capturing, sharing and interacting with enhanced human digital memories. This will require original and novel platforms that automatically compose data sources from ubiquitous ad-hoc services that are prevalent within the environments we occupy. This is important for a number of reasons. Firstly, it will allow digital memories to be created that include richer information, such as how you felt when the memory was created and how you made others feel. Secondly, it provides a set of core services that can more easily manage and incorporate new sources as and when you are available. In this way memories created in the same location, and time are not necessarily similar -it depends on the data sources that are accessible. This paper presents DigMem, the initial prototype that is being developed to utilize distributed mobile services. DigMem captures and shares human digital memories, in a ubiquitous P2P environment. We present a case study to validate the implementation and evaluate the applicability of the approach.

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“…The clustering coefficient on vertex degree can also be found by the rate equation method [5][6][7][8][9][10][11], let us examine how the number of triangles E i changes v i changes with time. The triangle around v i are mainly generated by two process [4] 1.…”

Section: Clustering Spectrummentioning

confidence: 99%

A Model for Mobile Social Network Growth

Bhukya¹

2018

IJCA

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With the recent development in mobile networking technology and increased data speeds mobile phones become a platform for social networking. A serverless friend of friend detection algorithm has been proposed by Macro von Arb et al. Which is implemented successfully on VENETA a mobile social networking platform? Here have studied it more analytically and provided information about vertex degree distribution and clustering coefficient which are the fundamentals aspects of any social network analysis.

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Design and development of a mobile peer-to-peer social networking application

Cited by 76 publications

References 11 publications

Inferencia de contexto en aplicaciones móviles inteligente

Inferencia de contexto en aplicaciones móviles inteligente

Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services

A Model for Mobile Social Network Growth

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