NDLI: Understanding How Learning Affects Agreement Process in Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Maity, S.K. Porwal, A. Mukherjee, A.
Copyright Year	2013
Description	Author affiliation: Dept. of CSE, IIT Kharagpur, Kharagpur, India (Maity, S.K.; Mukherjee, A.) \|\| Dept. of IT, NIT, Durgapur, India (Porwal, A.)
Abstract	In this article, we study how learning affects the dynamics of opinion formation in a population of agents modeled through the so-called naming game. This agent-based model captures the essential features of the agreement dynamics by means of a memory-driven negotiation process. We analyze the impact of learning in such social agreement model through a control parameter describing the resistance toward learning. We show that there exists a critical above which the consensus time diverges. In particular, we embed this model on various interaction topologies and real-world face-to-face interaction data and, thereby, point out the important differences in the agreement dynamics that take place in a real time-varying social settings vis-a-vis different static social settings. Remarkably, in all types of topology, we observe that beyond the critical value of, the number of unique words increase manifold in the system and hence the time to consensus diverges possibly pointing to an universal aspect of language learning. In order to support the simulation results, we further develop a web-based online game - the `tagging game' - which is a close correlate of the naming game and observe the game dynamics when human subjects are exposed to play the game. Remarkably, similar characteristic properties as that of the modified naming game is observed here even while different people from different geographical location play the game. This shows that synthetic modeling has nowadays reached the maturity to answer certain long-standing questions in cognitive science reasonably well.
Starting Page	228
Ending Page	235
File Size	1193083
Page Count	8
File Format	PDF
ISBN	9780769551371
DOI	10.1109/SocialCom.2013.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning Technological innovation Adaptation models Sociology Games Switches Social networks Data models Statistics Naming game
Content Type	Text
Resource Type	Article

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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