3G Smartphone Technologies for Generating Personal Social Network Contact Distributions and Graphs

Benavides, Julián; Demianyk, Bryan; McLeod, R.D.; Friesen, Marcia R.; Laskowski, Marek; Ferens, Ken; Mukhi, Shamir

doi:10.1109/hisb.2011.2

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…In contrast, our study found differences in multiple contact-structure metrics by school and grade range, including higher modularity, clustering, and mean contact duration in lower-level schools compared to higher-level grades. In [ 26 ], the authors also found power-law distributed contact and encounter durations as well as another study [ 45 ] in which phones with Bluetooth technology was used instead of sensor motes. In [ 45 ], the statistical fit of contact duration distributions gave a power-law exponent of -1.33, within the range we found for different schools, -0.9 to -1.4.…”

Section: Discussionmentioning

confidence: 89%

Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA

et al. 2016

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Students attending schools play an important role in the transmission of influenza. In this study, we present a social network analysis of contacts among 1,828 students in eight different schools in urban and suburban areas in and near Pittsburgh, Pennsylvania, United States of America, including elementary, elementary-middle, middle, and high schools. We collected social contact information of students who wore wireless sensor devices that regularly recorded other devices if they are within a distance of 3 meters. We analyzed these networks to identify patterns of proximal student interactions in different classes and grades, to describe community structure within the schools, and to assess the impact of the physical environment of schools on proximal contacts. In the elementary and middle schools, we observed a high number of intra-grade and intra-classroom contacts and a relatively low number of inter-grade contacts. However, in high schools, contact networks were well connected and mixed across grades. High modularity of lower grades suggests that assumptions of homogeneous mixing in epidemic models may be inappropriate; whereas lower modularity in high schools suggests that homogenous mixing assumptions may be more acceptable in these settings. The results suggest that interventions targeting subsets of classrooms may work better in elementary schools than high schools. Our work presents quantitative measures of age-specific, school-based contacts that can be used as the basis for constructing models of the transmission of infections in schools.

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Section: Discussionmentioning

confidence: 89%

Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA

et al. 2016

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“…Technological advances and the continuous development of new software and sensors that provide high-quality location, proximity, visual, auditory data, and face and voice recognition systems are ongoing processes (see Benavides et al, 2011;Choudhury, 2004;Elrefaei, Alharthi, Alamoudi, Almutairi, & Al-Rammah, 2017;Niu, Wang, & Lu, 2015). Thus, future possibilities that could provide additional data include the integration of measures from external sensors: for example, sensors capable of measuring biological signals (e.g., heartbeat, skin-resistance, gait, etc.…”

Section: Future Directionsmentioning

confidence: 99%

Contact Logger: Measuring everyday intergroup contact experiences in near-time

2020

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Intergroup contact research has traditionally relied on retrospective accounts of intergroup encounters, mainly through surveybased or observational methods. This study introduces and tests the usability of a purpose-built, location-aware mobile application-the Contact Logger. This application enables the recording of interpersonal and intergroup encounters, in public and private spaces (both indoor and outdoor), in their here-and-now contexts. The main advantage of this approach, as compared to traditional methods, lies in its ability to collect repeated and timely (near-time) self-assessments of individuals' behaviors and experiences. It also allows for geographical location data to be logged. Usability testing was conducted in a real-world environment and took place over the course of seven days, during which participants (N = 12) logged every contact they had with an outgroup member (here, older people). Subsequently, participants completed a paper-and-pencil questionnaire, reporting on the usability and experience of using the Contact Logger. The results showed that the application is a viable and easy-to-use alternative to traditional methods. The information gathered aided the further development and optimization of the application. The outcomes of this development process are also briefly discussed.

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Section: Future Directionsmentioning

confidence: 99%

Contact Logger: Measuring Everyday Intergroup Contact Experiences in Near-Time

Keil¹,

Koschate²,

Levine³

2019

Preprint

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Intergroup contact research has traditionally relied on retrospective accounts of intergroup encounters, mainly through survey-based or observational methods. This study introduces and tests the usability of a purpose-built, location-aware, mobile application—the Contact Logger. It enables the recording of interpersonal and intergroup encounters, in public and private spaces (both indoor and outdoor), in their here-and-now contexts. The main advantage of this approach, compared to traditional methods, lies in the ability to collect repeated and timely (near-time) self-assessments of individuals’ behaviours and experiences. It also allows for geographical location data to be logged. Usability testing was done in a real-world environment and took place over the course of seven days, during which participants (N = 12) logged every contact they encountered with an outgroup member (here: older people). Subsequently, participants completed a paper-and-pencil questionnaire, reporting on the usability and experience of using the Contact Logger. Results showed that the application is a viable and easy to use alternative to traditional methods. The information gathered aided the further development and optimisation of the application. The outcomes of this process are also briefly discussed.

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3G Smartphone Technologies for Generating Personal Social Network Contact Distributions and Graphs

Cited by 5 publications

References 4 publications

Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA

Social Contact Networks and Mixing among Students in K-12 Schools in Pittsburgh, PA

Contact Logger: Measuring everyday intergroup contact experiences in near-time

Contact Logger: Measuring Everyday Intergroup Contact Experiences in Near-Time

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