• Journal of Contemporary Eastern Asia
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• v.17 no.2
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• pp.147-175
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• 2018

Under authoritarian regimes, citizen-led NGOs such as environmental NGOs (ENGOs) often operate under close scrutiny of the government. While this presents a challenge to a single ENGO, we propose here - in line with existing research on network effects - that there are opportunities for multiple ENGOs to coordinate and thus work in ways that supersede government controls, affect public opinion, and contribute to policy revision and/or creation. In this paper, we specifically examine the possibility that the gamut of citizen-based ENGOs in China are coordinating. Based on network analysis of ENGOs web pages as well as interviews with more than a dozen ENGO leaders between 2014 and 2016, we find that ENGOs have few direct and public connections to each other, but social media sites and personal connections offline provide a crucial function in creating bridges. A closer examination of these bridges reveals, however, that they can be substantive to the environmental discussion or functional to the dissemination of web page information but typically not both. In short, ENGOs in China are not directly connected but rather are connected in a way that responds to the available social media and the government's censorship practices.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.7-17
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• 2017

Despite various types of online social networks having different topological and functional characteristics, the kinds of online social networks considered in social recommendations are highly restricted. The pervasiveness of social networks has brought scholarly attention to expanding the scope of social recommendations into more diverse and less explored types of online social networks. As a preliminary attempt, this study examined the information-sharing patterns of a new type of online social network - unilateral (directed) network - and assessed the feasibility of the network as a useful information source. Specifically, this study mainly focused on the presence of shared interests in unilateral networks, because the shared information is the inevitable condition for utilizing the networks as a feasible source of personalized recommendations. As the results, we discovered that user pairs with direct and distant links shared significantly more similar information than the other non-connected pairs. Individual users' social properties were also significantly correlated with the degree of their information similarity with social connections. We also found the substitutability of online social networks for the top cohorts anonymously chosen by the collaborative filtering algorithm.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.168-190
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• 2022

This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.1-11
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• 2009

This study presents HCWS algorithm for researcher grouping on a weighted researcher network. The weights represent intensity of connections among researchers based on the number of co-authors and the number of co-authored research papers. To confirm the validity of the proposed technique, this study conducted an experimentation on about 80 research papers. As a consequence, it is proved that HCWS algorithm is able to bring about more realistic clustering compared with HCS algorithm which presents semantic relations among researchers in simple connections. In addition, it is found that HCWS algorithm can address the problems of existing HCS algorithm; researchers are disconnected since their connections are classified as weak even though they are strong, and vise versa. The technique described in this research paper can be applied to efficiently establish social networks of researchers considering relations such as collaboration histories among researchers or to create communities of researchers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.75-82
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• 2017

In this paper, we consider social network analysis that focuses on community detection. Social networks embed community structure characteristics, i.e., a society can be partitioned into many social groups of individuals, with dense intra-group connections and much sparser inter-group connections. Exploring the community structure allows predicting as well as understanding individual's behaviors and interactions between people. In this paper, based on the interaction information extracted from a real-life Bluetooth contacts, we aim to reveal the social groups in a society of mobile carriers. Focusing on estimating the closeness of relationships between network entities through different similarity measurement methods, we introduce the clustering scheme to determine the underlying social structure. To evaluate our community detection method, we present the evaluation mechanism based on the basic properties of friendship.

• Journal of the Korea Safety Management & Science
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• v.18 no.4
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• pp.11-17
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• 2016

Currently, the number of a shopping center building is increasing because most people want to go a shopping center building easily for buying many things and eating some foods. That are a normal trend these days. However, the increasing number of shopping center buildings has been increasing the number of shopping center building fires which also have been making social problems. Therefore, this study was conducted for the fire department connection among other fire facilities because it is important for fire suppression. The research subject is on the fire department connections that are on 70 shopping center buildings of more than 5 years old constructed. Survey and analysis were conducted for 70 fire department connections. The result of this study is that all installed fire department connections have a type that includes one or two holes each at 65mm wide, and the average distance between fire department connections and access roads is 4.85m. The total average percentage of insufficiency conditions such as drive ways for fire trucks, visibility, accessibility, pressure range sign, installed height, cover of the hole, etc. is 45.3%. So improvement of law and systems, that are fire facility construction and maintenance implementations, will be needed in my opinion.

• SUVANNABHUMI
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• v.11 no.2
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• pp.125-157
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• 2019

It has been widely argued that Area Studies is in a critical condition especially in Australia, Europe and the US. However, in the Southeast Asian region, most especially Indonesia, we are witnessing the rise of Area Studies programs with the establishment of several such programs both in research institutions and universities. In this paper, I will discuss a few examples of Area Studies research on the emerging diasporic connections in Southeast Asia and reflect on the constitution of ethnic networks as "sites" where transnational identities are forged beyond state boundaries. Indeed, transnational movements of people have occurred and continue to happen due to particular events like wars and political turmoil, as well as for economic reasons. Today, we find many diasporic groups, including minorities, in the border areas of Southeast Asian countries and historically, minorities have been known for their movements in mainland Southeast Asia. If previously, the diasporic connections, especially with the homeland, had been very limited or even non-existent, today such connections have emerged across national boundaries. On top of this, economic and social networkings are equally on the rise both within and at transnational levels. It is, therefore, important to discuss the identity of diasporic groups and transnational networkings in the cases of two border areas in Southeast Asia.

• Journal of Contemporary Eastern Asia
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• v.12 no.2
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• pp.89-97
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• 2013

This paper explores the influences of the traditional Chinese culture on social relations in China. It provides an introduction to the concept of Guanxi, the notion that social connections are based on socially situated reciprocity. This is different from social interaction in Western society that is based on self-interest and equity. Guanxi represents the foundation of social networks in many Eastern countries. As such, the study of social networks in China requires scholars to examine Guanxi networks. The paper demonstrates how a Guanxi perspective might be added to the examination of various theories that comprise structural (network) theory, including social capital theory, social exchange theory, cognitive and contagion theories, and the role of homophily for the study of Chinese society and its social organizations.

• Journal of Information Processing Systems
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• v.11 no.1
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• pp.1-21
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• 2015

This paper aims to assess the feasibility of a new and less-focused type of online sociability (the watching network) as a useful information source for personalized recommendations. In this paper, we recommend scientific articles of interests by using the shared interests between target users and their watching connections. Our recommendations are based on one typical social bookmarking system, CiteULike. The watching network-based recommendations, which use a much smaller size of user data, produces suggestions that are as good as the conventional Collaborative Filtering technique. The results demonstrate that the watching network is a useful information source and a feasible foundation for information personalization. Furthermore, the watching network is substitutable for anonymous peers of the Collaborative Filtering recommendations. This study shows the expandability of social network-based recommendations to the new type of online social networks.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.1-7
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• 2014

We consider a human contact social network that has connections through cellphone addresses. To construct such a social network, we use real call records provided by a large carrier, and connect to each other if there exists a call record between any two cellphone users. Due to its huge amount of data, we down-sample it in a way that the smallest-degree nodes are removed, in turn, from the network. For a moderate size of the networks we show that the degree distribution of the network follows a power-law distribution via linear regression analysis, implying the so-called scale-free property. We finally suggest some alternative measures to analyze a social network.