Networking Interest and Networked Structure: A Quantitative Analysis of Twitter Data

Title
Networking Interest and Networked Structure: A Quantitative Analysis of Twitter Data
Author(s)
박한우최수진[최수진]
Keywords
SOUTH-KOREA; MOTIVATION; WEB; COMMUNICATION; INFORMATION
Issue Date
201504
Publisher
SAGE PUBLICATIONS INC
Citation
SOCIAL SCIENCE COMPUTER REVIEW, v.33, no.2, pp.145 - 162
Abstract
This study examines the relationship between individuals' networking interests and a group's networked structure. The data set includes 25,651 members and 12,638 mentions from Twitter-mediated communities in South Korea. Using social network and web impact analyses, we investigated the micro- and macro linkage between individuals' interests and groups' structure, the meso-level analysis of individual-to-individual relationships, and the hyperlinked content shared in each community. Findings suggest that different interests of individuals in joining online communities were associated with variations in those communities' network structures: Communities with sociopolitical goals had a denser network structure and communities for interpersonal interests had a more reciprocated network. Communities for information access exhibited greater dependence on a single member, contrary to the communities for information sharing. Types of content shared in the communities also varied by interests. These findings led us to compose a network topology with visual representation, based on sociopolitical, informational, and interpersonal interests.
URI
http://hdl.handle.net/YU.REPOSITORY/32713http://dx.doi.org/10.1177/0894439314527054
ISSN
0894-4393
Appears in Collections:
문과대학 > 언론정보학과 > Articles
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