NDLI: On a Triadic Approach to Connect Microstructural Properties to Social Macrostructural Patterns

Content Provider	IEEE Xplore Digital Library
Author	Yuxi Hu Doroud, M. Wu, S.F.
Copyright Year	2012
Description	Author affiliation: Dept. of Comput. Sci., Univ. of California, Davis, Davis, CA, USA (Yuxi Hu; Doroud, M.; Wu, S.F.)
Abstract	Social macrostructures, such as structural balance, ranked clusters and transitivity, are of great importance on account of their abilities to reflect the underlying social psychological processes about the formation and evolution of relationships among people. Here we present a detailed study on examining the existence and evolution of social macrostructures in an empirical online social network, and exploring how they can be explained by network micro structural properties, i.e. nodal in degree and out degree and dyadic feature. We establish the micro-macro linkage by analyzing the network triadic patterns. Based on a novel clustering coefficient based network sampling approach, we show that the distribution of observed triad census in our data is low dimensional and can be greatly explained by network dyadic properties. In a time series analysis, we observe that our network exhibits strong tendencies towards balanced, transitive and clustered social macrostructure given the nodal and dyadic characteristics. Our findings supplement the studies on structural properties of online social network by providing more insights on the relation between network macrostructures and the micro-level social processes that result in them. And they form the basis to understand better how online social media systems change the information and communication fabric of our society.
Sponsorship	IEEE Comput. Soc.
Starting Page	353
Ending Page	359
File Size	683880
Page Count	7
File Format	PDF
ISBN	9781467324977
DOI	10.1109/ASONAM.2012.65
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-26
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Social network services Redundancy Focusing online social networks Vectors Approximation methods Matrix decomposition triads network structure Monitoring
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
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