A Study on the Determinants of Patent Citation Relationships among Companies : MR-QAP Analysis

Park, Jun Hyung; Kwahk, Kee-Young; Han, Heejun; Kim, Yun-Jeong

doi:10.13088/jiis.2013.19.4.021

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…After establishing the network that re ects the privacy leak score, the relationship between the network structure and the attributes affecting the network was analyzed through the MR-QAP methodology [31]. MR-QAP analysis which is as multiple regression analysis is used to test the statistical signi cance of network data.…”

Section: Identify the Affect Factors Of The Networkmentioning

confidence: 99%

A study on the privacy dilemma overcoming method of voluntary personal information leakage in relational SNS: data-based privacy leakage risk score development

Bae,

Cha

2024

Preprint

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The advancement of internet technology has facilitated the emergence of relational Social Network Services (SNS), offering services based on individuals' social connections. SNS users utilize personal information as a means of self-expression, thereby constructing their own social networks. However, the proliferation of personal information breaches has emerged as a significant contemporary concern due to the escalating use of SNS platforms. Recent incidents predominantly involve the collection and dissemination of information voluntarily disclosed on SNS, rather than by hacking. Despite the imperative need to forestall such breaches, there is a dearth of empirically applicable methodologies to gauge the risk of personal information leakage. Prior research methodologies for quantitatively assessing breach risk have predominantly concentrated on evaluating personal profiles alone, with limited consideration given to the potential identifiability of personal information embedded within uploaded content. Furthermore, these studies have often relied on surveys to ascertain users' perceptions of personal information leakage risk, hereby constraining their practical applicability and difficult to fulfill the objective of preventing personal information breaches. Hence, this study proposes a method for estimating privacy leakage risk based on the privacy-dilemma framework, which underscores the dilemmas SNS users encounter in managing both personal profiles and content data. Leveraging Social Network Analysis (SNA) to capture the nuances of relational SNS characteristics, we aim to enhance methodologies proposed in previous studies. The Multiple Regression Quadratic Assignment Procedure (MR-QAP) analysis is employed to delineate the factors influencing the risk score. This methodological approach holds promise in furnishing practical insights into privacy protection.

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Section: Identify the Affect Factors Of The Networkmentioning

confidence: 99%

A study on the privacy dilemma overcoming method of voluntary personal information leakage in relational SNS: data-based privacy leakage risk score development

Bae,

Cha

2024

Preprint

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“…The Quadratic Assignment Procedure was developed by Mantel (1967); Hubert (1986) and Krackardt (1987) and has revealed insights in a variety of network analysis problems, including patent citations (Park et al, 2013), teacher collaborations (Noben et al, 2022), inter-physician networks (Mascia et al, 2015) and refugee flow (Johnson and Schon, 2019). Here, a QAP approach is preferred over other models, e.g.…”

Section: Introductionmentioning

confidence: 99%

Unlocking social network analysis methods for studying human mobility

Wiedemann

Henry

Raubal

2022

AGILE GIScience Ser.

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Abstract. Planning and operations in urban spaces are strongly affected by human mobility behavior. A better understanding of individual mobility is key to improve transportation systems and to guide the allocation of public space. Previous studies have discovered statistical laws of travel distances, but the topology of movement between places has received little attention. We propose to employ network modelling methods to analyze the effect of spatial and context attributes on individual movement patterns. The perspective of mobility as a network allows to explicitly regard dyadic dependencies of sequential location visits. Here, we consider two methods developed for social networks and provide a formulation of mobility networks to justify their applicability. First, we use the Multiple Regression Quadratic Assignment Procedure to test hypotheses on the influence of location attributes on mobility behavior. Secondly, Stochastic Actor-Oriented Models are applied to model the evolution of mobility networks over time. As a proof-of-concept study, we transform data from one GNSS-based and one check-in based dataset into mobility networks and present results from both methods. We find relations that appear for a majority of samples and thus seem inherent to mobility networks. The differences between individuals and the available datasets are further quantified and discussed. We conclude that the transfer of network modeling methods is an interesting opportunity to study network-related phenomena in geographic information science.

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IT R&D Outcomes and Technology Knowledge Flows in Korea

Jung

Lee

2018

2018 IEEE Technology and Engineering Management Conference (TEMSCON)

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A Study on the Determinants of Patent Citation Relationships among Companies : MR-QAP Analysis

Cited by 6 publications

References 23 publications

A study on the privacy dilemma overcoming method of voluntary personal information leakage in relational SNS: data-based privacy leakage risk score development

A study on the privacy dilemma overcoming method of voluntary personal information leakage in relational SNS: data-based privacy leakage risk score development

Unlocking social network analysis methods for studying human mobility

IT R&D Outcomes and Technology Knowledge Flows in Korea

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