NDLI: Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science

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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8

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Issue 4, July 2011

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Introduction to the special issue on intelligent systems for activity recognition

Learning travel recommendations from user-generated GPS traces

Discovering routines from large-scale human locations using probabilistic topic models

Probabilistic models for concurrent chatting activity recognition

Recognizing pair-activities by causality analysis

Performance metrics for activity recognition

Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science

FolderPredictor: Reducing the cost of reaching the right folder

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science

Content Provider	ACM Digital Library
Author	Bilmes, Jeff Wyatt, Danny Choudhury, Tanzeem Kitts, James A.
Copyright Year	2011
Abstract	New technologies have made it possible to collect information about social networks as they are acted and observed in the wild, instead of as they are reported in retrospective surveys. These technologies offer opportunities to address many new research questions: How can meaningful information about social interaction be extracted from automatically recorded raw data on human behavior? What can we learn about social networks from such fine-grained behavioral data? And how can all of this be done while protecting privacy? With the goal of addressing these questions, this article presents new methods for inferring colocation and conversation networks from privacy-sensitive audio. These methods are applied in a study of face-to-face interactions among 24 students in a graduate school cohort during an academic year. The resulting analysis shows that networks derived from colocation and conversation inferences are quite different. This distinction can inform future research in computational social science, especially work that only measures colocation or employs colocation data as a proxy for conversation networks.
Starting Page	1
Ending Page	41
Page Count	41
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/1889681.1889688
Volume Number	2
Issue Number	1
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-01-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Social networks Mobile sensing
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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