A Study on Egobile Framework (Where Everything Go On Mobile)

Egobile : Where Social Network Go Mobile

By: Anit Thapaliya

Egobile is a framework for mobile location-aware web application

Initially targeted for UIT Students, Vietnam

It provides basic social network functionalities and location awareness functionality.

Users can share places, interest, cyber-tagging, rating over places.

Introduction

(Q. Tao, 2011)

A platform to build social relation among the people who share similar interests, activities and backgrounds.

It is a internet based communication medium or a virtual community where each individual users have their own profile.

It allows user to shared their status, pictures, events, interest, activities and many more.

Background I: Social Network Sites (SNS)

Working Mechanism

(Joly, 2001)

Derived from ‘Context Awareness’ which is related to the concept that the devices can both sense and react to the environment & can determine their location.

Mostly used by today's social networking sites and is accessible through mobile network in mobile devices.

It uses information from the geographical position of the mobile device.

Background I: Location-Aware Social Network

Key Note in EgobileCollaborative Filtering Geolocation APRecommender SystemNoSQL Database (called Mongo DB)

(Q. Tao, 2011)

Recommend items based only on the users past behavior User Based: find similar users and recommend what

they liked Item Based: find similar items to those that I have

previously liked. Platform of making automatic prediction about the

interest of users by collecting the feedback from many users.

Examples:IMDB Movies Rating: Multiple user rating is optimized

by the system and make recommendation for the similar user.

Collaborative Filtering

(Amatriain, 2014)

Identification of the real world geographical location of an object.

High level interface to location information associated only with the device hosting implementation such as latitude and longitude. (W3C, 2014)

Common Sources: Global Position System IP Address Mac Address RFID, Bluetooth, GSM/CDMA Cell

Geolocation API

(Rosa, 2014)

Chris Anderson in ‘The Long Tail’ ‘We are leaving the age of information and

entering the age of recommendation’.

What is Recommender System..?

(Anderson, 2006)

Amazon.com 35% sales through recommendations.

Netflix.com 2/3 of the movies watched are through

recommendation

A platform to filter information from huge information stream. It produce a list of recommendation using Collaborative or content based filtering.

Mostly todays famous social media like Facebook, Twitter, Youtube used recommender system to track their users interest through their sites.

Recommender System

(Amatrian,2014)

Refers to non SQL database or non relational database.

Provides mechanism for storing pairs of key value and distributed storage examples (Mongo DB).

Mongo DB: It’s a cross platform document oriented database which support JSON and Geospatial Index for Geolocation processing.

NoSQL Database (Mongo DB)

(Wikipedia)

Useful for devices without GPS i.e. Geolocation API gives the actual position results.

Special User interface (Small Screen) Less Power Consumption (Offload the user

interface rendering by putting more task on server side)

User Centric Collaboration & Coordination. Efficiency (100 Users sharing places of

interest simultaneously)

Egobile Positiveness

A framework for location aware social network

Locate user based on W3c Geolocation API and server technique for positioning.

With non relational database it is better for the system having large and increasing number of users.

Conclusion

Mobile Social Network Vs Human Isolation.

Protection of user privacy in mobile social network (using context aware application).

Mobile Social Networks for community learning.

Future Research

Joly, A., Context Awareness, The Missing Block of Social Networking.International Journal of Computer Science and Applications [Online]. Available from: http://www.tmrfindia.org/ijcsa/v6i24.pdf [Accessed 2016].

Q. Tao, Hung , 2011. Egobile. Where Social Network Go Mobile, One , 4.

Editor, W3C, 2014. Geolocation API Specification Available from: http://dev.w3.org/geo/api/spec-source.html[Accessed 2016].

De Rosa, Aurelio, 2014. An Introduction to the Geolocation API Amatriain, Xavier, 2014. Recommender Systems

References