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reality mining sensing complex social systems

A variation on BlueAware is Bluedar Bluedar was developed to be placed in a social setting and continuously scan for visible devices, wirelessly transmitting detected

Human contact data among 96 students of the Massachusetts Institute of Technology MIT, collected by the Reality Mining experiment performed in 2004 as part of the Reality Commons project The dataset is an adaptation of the proximity dataset extracted and made public by KONECT url provided below

Reality Mining: Sensing Complex Social Systems by Nathan Eagle, Alex Pentland J OF PERSONAL AND UBIQUITOUS COMPUTING , 2005 We introduce a system for sensing complex social systems with data collected from one hundred mobile phones over the course of six months

One of the first goals toward this end is to categorize complex smartphone data into an interpretable social or environmental context For example, the class of statistical learning methods known as decision trees offers a simple yet high performance approach for dividing data into classes by using a series of unambiguous and interpretable rules

MIT Media Labs Reality Mining project launched in 2004 with the goal of sensing complex social systems which included inferring patterns in daily user activity, relation ships, socially meaningful locations, and organizational structures Along the same line, Raento et al were one of the first who proposed mobile phone data collection for large scale context sensing More recent

Reality mining: sensing complex social systems Reality mining: sensing complex social systems Eagle, Nathan Sandy Pentland, Alex 2005 11 03 00:00:00 We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months

2006 Reality mining: sensing complex social systems Personal Ubiquitous Computing 104:255 268, incorporated herein by reference runs in the background on Mobile Information Device Profile MIDP2 enabled phones allowing them to record and timestamp BTIDs in a proximity log and makes then available to other applications Researchers have been using the BTID patterns to analyze and

Especially in conjunction with experimental manipulations, reality mining promises significant advances in basic and applied research on animal social systems Do you want to read the rest of this

MIT Media Labs Reality Mining project launched in 2004 with the goal of sensing complex social systems which included inferring patterns in daily user activity, relation ships, socially meaningful locations, and organizational structures Along the same line, Raento et al were one of the first who proposed mobile phone data collection for large scale context sensing More recent

Reality mining: sensing complex social systems Reality mining: sensing complex social systems Eagle, Nathan Sandy Pentland, Alex 2005 11 03 00:00:00 We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months

We introduce a system for sensing complex social systems with data collected from one hundred mobile phones over the course of six months We demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social

We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months We demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships

Reality Mining: Sensing Complex Social Systems by Nathan Eagle, Alex Pentland J OF PERSONAL AND UBIQUITOUS COMPUTING , 2005 We introduce a system for sensing complex social systems with data collected from one hundred mobile phones over the course of six months

We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months We demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social

Over the years, reality mining studies will provide data and models on the social fine structure and dynamics of animal populations across a wide range of species, facilitating major new insights through broad evolutionary comparisons 77, 78

The phrase reality mining describes the collection of sensor data pertaining to human social behavior 7 Using call records, cellular tower IDs, and Bluetooth proximity logs collected via mobile phones at the individual level, the subjects social network can be accurately detected as well as patterns in their daily activities 4,7 Mobile phone records from telecommunications companies

We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months We demonstrate the

Reality mining project introduced for sensing complex social systems with data collected from 94 mobile phones Reality Mining considers Mobile phones as wearable sensors

We introduce a system for sensing complex social systems with data collected from one hundred mobile phones over the course of six months We demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social

We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months We demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social

Background Digital networks, mobile devices, and the possibility of mining the ever increasing amount of digital traces that we leave behind in our daily activities are changing the way we can approach the study of human and social interactions

2013 09 23 The development and evaluation of new data mining methods for ubiquitous environments and systems requires real data that were collected from real users In this work, we present an open smartphone utilization and mobility data set that was generated with several devices and participants during a 4 month study A particularity of this data set is the inclusion of low level operating system

Reality mining holds the potential to elucidate whether preferential associations are characterised by particularly frequent and/or long associations and whether these two parameters are correlated, with important implications for our understanding of information transmission and social learning processes

N Eagle and A Pentland, Reality mining: sensing complex social systems, Personal and Ubiquitous Computing, vol 10, no 4, pp 255268, 2006 K Carley K Carley, Dynamic network analysisDynamic network analysis, in Dynamic social network modeling and analysis: Workshopin Dynamic social network modeling and analysis: Workshop

One of the first goals toward this end is to categorize complex smartphone data into an interpretable social or environmental context For example, the class of statistical learning methods known as decision trees offers a simple yet high performance approach for dividing data into classes by using a series of unambiguous and interpretable rules

Over the years, reality mining studies will provide data and models on the social fine structure and dynamics of animal populations across a wide range of species, facilitating major new insights through broad evolutionary comparisons 77, 78

2013 09 23 The development and evaluation of new data mining methods for ubiquitous environments and systems requires real data that were collected from real users In this work, we present an open smartphone utilization and mobility data set that was generated with several devices and participants during a 4 month study A particularity of this data set is the inclusion of low level operating system

N Eagle and A Pentland, Reality mining: sensing complex social systems, Personal and Ubiquitous Computing, vol 10, no 4, pp 255268, 2006 K Carley K Carley, Dynamic network analysisDynamic network analysis, in Dynamic social network modeling and analysis: Workshopin Dynamic social network modeling and analysis: Workshop

2 3 Reality Mining: Sensing Complex Social Systems Authors: N Eagle and A S Pentland These authors introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months They demonstrate the ability to use standard Bluetooth enabled mobile telephones to measure information access and use in different contexts, recognize social

The study of complex social systems has traditionally been an arduous process, involving extensive surveys, interviews, ethnographic studies, or analysis of online behavior Today, however, it is

studies of social networks such as the six degrees of separation1 and the power law of the linked interactions 2 shed light on the scalability of human networking activities

reality mining relational scripts The field devoted to the study of the system of human interactionssocial network analysishas been constrained in accuracy, breadth, and depth because of its reliance on self report data

Reality mining is the collection and analysis of machine sensed environmental data pertaining to human social behaviour, with the goal of identifying predictable patterns of behaviour, including how computers can learn to extract social clues from social systems

that can be deployed today outside the realm of research 2 3 The dataset Our study consists of 100 Nokia 6600 smart phones pre installed with several pieces of software we have devel

Key Words: Process mining workflow mining reality mining ubiquitous computing Complex social systems User modeling social network analysis study this data and also there are several techniques in process mining to modeling and analysis this event logs We will use ProM framework as a mature tools that was developed to support the various forms of process mining This paper

This approach capitalizes on the large amount of rich data previously captured during the Reality Mining study from mobile phones continuously logging location, proximate people, and communication of 100 subjects at MIT over the course of nine months

Reality mining: sensing complex social systems, Nathan Eagle, Alex Sandy Pentland, Journal Personal and Ubiquitous Computing Volume 10 Issue 4, March 2006 Pages 255 268

With the popularity of mobile devices and wireless technologies, mobile communication network systems are increasingly available In this paper we propose a new algorithm for mining interesting communities or groups in Mobile Social Network

The authors have captured communication, proximity, location, and activity information from 100 subjects at MIT over the course of the 2004 2005 academic year This data represents over 350,000 hours ~40 years of continuous data on human behavior Such rich data on complex social systems have implications for a variety of fields

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