Measuring trustworthiness of information diffusion by risk discovery process in social networking services

Title
Measuring trustworthiness of information diffusion by risk discovery process in social networking services
Author(s)
정재은
Keywords
CENTRALITY; FRAMEWORK; SYSTEM; FLOW
Issue Date
201405
Publisher
SPRINGER
Citation
QUALITY & QUANTITY, v.48, no.3, pp.1325 - 1336
Abstract
Most of current social network services are vulnerable to malicious actions. For example, rumor (e.g., contaminated and distorted information) can be diffused along the social links. In this paper, given a social network service, we design a peer-to-peer (P2P) network, and propose a robust information diffusion model to efficiently detect the malicious peers from which a risk (i.e., rumor) has been generated on the P2P network. Thereby, by aggregating social interactions among users, a set of interaction sequences are obtained. Given a set of interaction sequences, statistical sequence mining method is exploited to discover a certain social position which provides peculiar patterns on the P2P networks. For evaluating the proposed method, we conducted two experimentations with NetLogo simulation platform for risk discovery on social network.
URI
http://hdl.handle.net/YU.REPOSITORY/32341http://dx.doi.org/10.1007/s11135-013-9837-1
ISSN
0033-5177
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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