Citizen in Sensor Networks: First International Workshop, - download pdf or read online

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By Jordi Nin, Daniel Villatoro

ISBN-10: 3642360734

ISBN-13: 9783642360732

ISBN-10: 3642360742

ISBN-13: 9783642360749

This publication constitutes the completely refereed post-conference complaints of the 1st overseas Workshop on Citizen Sensor Networks, CitiSens 2012, in Montpellier, France, on August 27, 2012.
The 7 revised complete papers awarded including 1 keynote lectures have been conscientiously reviewed and chosen from sixteen submissions. The permitted papers take care of themes like crowdsourcing, clever towns, multi-agent structures, privateness in social networks, facts anonymity or clever sensors.

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Extra resources for Citizen in Sensor Networks: First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers

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On the Protection of Social Network-Extracted Categorical Microdata 35 Algorithm 1. Twitter Profiles Crawling Algorithm Input: uID Initial user id, numU sers Maximum number of user to crawl, numT weets Number of tweets to get from each user. Output: Y List of public available data for each user. add(actualUser) end while return Y The algorithm is started with a given initial user id as the starting node in the social network, a maximum number of users we want to get information from, and a number of tweets we want to get from each user.

The general intensity of the phenomenon reduces in time and a part of it remains in its origin, while the rest flows according to the strength of the current. Therefore if any contaminant is poured in a water cell, it will spread to its downward cells through time according to the following model River(x, y) = (1 − ρ)River(x, y)+ ρ(α(River(x− 1, y − 1))+ β(River(x, y − 1))+ γ(River(x+1, y−1))). During each simulation run, three different contamination sources appear at random locations, but at specific times and keep spewing contaminant between 30 and 60 weeks.

Three lists are used: unvisited contains the ids of the not yet crawled users connected to the already crawled ones, visited contains the ids of the already crawled users, and Y contains the data structures containing all the information about each crawled user. This is executed in a loop until we reach the maximum number of users we wanted to crawl or until we have no more users in the unvisited list. After this step we have a collection of structures containing information about each user. 2 User Profiles Generation The second step to do is to use the data structures collected by the crawler in order to get a profile for each user containing his location, his connected users and, his three most relevant topics of interest.

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Citizen in Sensor Networks: First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers by Jordi Nin, Daniel Villatoro


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