• The Journal of Bigdata
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• v.1 no.1
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• pp.61-66
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• 2016

With big data analysis, companies use the customized marketing strategy based on customer's information. However, because of the concerns about privacy issue and identity theft, people start erasing their personal information or changing the privacy settings on social network site. Facebook, the most used social networking site, has the feature called 'Likes' which can be used as a tool to predict user's demographic profiles, such as sex and age range. To make accurate analysis model for the study, 'Likes' data has been processed by using Gaussian RBF and nFactors for dimensionality reduction. With random Forest and 5-fold cross-validation, the result shows that sex has 75% and age has 97.85% accuracy rate. From this study, we expect to provide an useful guideline for companies and marketers who are suffering to collect customers' data.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.181-195
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• 2010

The participation and share between personal users are the driving force of Web 2.0, and easily found in blog, social network, collective intelligence, social bookmarking and tagging. Among those applications, the social bookmarking lets Internet users to store bookmarks online and share them, and provides various services based on shared bookmarks which people think important.Delicious.com is the representative site of social bookmarking services, and provides a bookmark search service by using tags which users attach to the bookmarks. Our paper suggests a method re-ranking the ranks from Delicious.com based on user tags in order to provide personalized bookmark recommendations. Moreover, a method to consider bookmarks which have tags not directly related to the user query keywords is suggested by using tag network based on Jaccard similarity coefficient. The performance of suggested system is verified with experiments that compare the ranks by Delicious.com with new ranks of our system.

• Korean journal of communication and information
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• v.67
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• pp.7-34
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• 2014

This study analyzes the characteristics, implications, and problems of Social Network of Press Organizations from the Kim Dae-jung administration to the Lee Myung-bak administration in Korea. For analyzing these issues, this study attempts to investigate the traits of social network structure based on the density analysis, distribution character analysis and correspondence analysis in each and among regimes. To answer these questions, this study utilizes human relationship data which related to personal network aspects (place of birth, affiliated college) and expertise aspects (types of major field), and which data has been gathered from the biographical web-site of Press Organizations in Korea. The results showed that the membership format of each Press Organizations depends on the connection with political environment directly and indirectly. Especially, the network traits of Broadcasting Press Organizations stands out a place of birth aspect. This findings indicate that the broadcasting policy reality that the path of decision making is connected with the political environment is more effective.

• International Journal of Knowledge Content Development & Technology
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• v.7 no.4
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• pp.5-26
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• 2017

A cross-cultural comparison of social networking structure on McDonald's Facebook fan sites between Taiwan and the USA was conducted utilizing the individualism/collectivism dimension proposed by Hofstede. Four network indicators are used to describe the network structure of McDonald's Facebook fan sites: size, density, clique and centralization. Individuals who post on both Facebook sites for the year of 2012 were considered as network participants for the purpose of the study. Due to the huge amount of data, only one thread of postings was sampled from each month of the year of 2012. The final data consists of 1002 postings written by 896 individuals and 5962 postings written by 5532 individuals from Taiwan and the USA respectively. The results indicated that the USA McDonald's Facebook fan network has more fans, while Taiwan's McDonald's Facebook fan network is more densely connected. Cliques did form among the overall multiplex and within the individual uniplex networks in two countries, yet no significant differences were found between them. All the fan networks in both countries are relatively centralized, mostly on the site operators.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.101-110
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• 2012

In recent days, lots of social commerce newly emerged business types of e-commerces are on the basis of social network. Therefore social commerce with social network might be powerful communication channel among customers and has suggested new paradigm in transaction model on the internet. In general, major roles of social commerce sites are to promote transaction with high discount rate and/or lots of event and to activate markets of local area. As characteristics of social commerce such as dynamic, rapid, and open, this research was assumed that design factors of sites that are different from existing e-commerce sites might be influential elements in decision making of purchase. This research is to empirically investigate which factors affect purchase decision making behaviors for 20s respondents who are major users of social commerce services. As a result major factor, easy-to-use, affecting decision making factors was identified and this result can give implication to researchers and persons in charge of fields who have interests in commerce site design and upgrade.

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.105-113
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• 2019

A construction project is a complex process consisting of interdependent tasks. If one task has variation, other tasks will be affected additionally and it is difficult to reach consensus on task variation due to the characteristics of the construction site that is going on quickly and complicatedly. Therefore, this study identified the root cause of task variation in construction process. Adjacent matrix was created with the tasks corresponding to major causes of variation, and the network analysis was performed. The results of social network analysis in the construction process can stabilize the work flow in the complex process and improve the reliability of the process plan and the project performance.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.21-24
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• 2018

기존 Facebook 페이지의 경우에는 수많은 제보 글이 올라와 사용자가 원하는 글을 찾기 어렵다는 문제점이 발생하고 있다. 본 논문에서는 이를 위해 다양한 Facebook 페이지 내용을 크롤링하여 사용자가 원하는 Facebook 페이지 내용을 검색하여 사용자에게 제공할 수 있도록 데이터베이스 서버에 저장 한 후 크롤링 된 Facebook 페이지 내용을 제공할 수 있는 웹사이트를 설계하고 구현한다.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.153-158
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• 2016

As the number of social network users increases, the information on event such as social issues and disasters receiving attention in each region is promptly posted by the bucket through social media site in real time, and its social ripple effect becomes huge. This study proposes a detection method of events that draw attention from users in specific region at specific time by using twitter data with regional information. In order to collect Twitter data, we use Twitter Streaming API. After collecting data, We implemented event detection system by analyze the frequency of a keyword which contained in a twit in a particular time and clustering the keywords that describes same event by exploiting keywords' co-occurrence graph. Finally, we evaluates the validity of our method through experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1123-1134
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• 2013

The purpose of this study is to decide the optimal location site of the agricultural wholesale market in Gyeonggi-do. In this paper, methods of social network analysis are adopted to calculate the betweenness centrality, degree centrality, prestige centrality. Methods of social network analysis can be a good alternative to discover characteristics of a complicated method by visualizing relationships among nodes(cities). The results of this study are as below : First, the result of social network and present locations are not so different. Second, optimal locations of the agricultural wholesale market in Gyeonggi-do are Pyeongtaek-si, Suwon-si, Ansan-si, Seongnam-si, Hwaseong-si, Yongin-si, Icheon-si, Anyang-si etc.

• Journal of Korean Society of Rural Planning
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• v.16 no.2
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• pp.31-45
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• 2010

Building a dam that is not considering the environmental impact and human social impact can cause the loss of entire ecospheres such as fragmentary green network, disturbance of plants ecosystem, the destruction of social and cultural indigenous resources, therefore, it can occur the environment change and distortion of ecosystem. The purpose of this study is that presenting the methods of ecosystem maintenance and ecosystem damage compensation about for environmentally direct impact i.e. the ecosystem change in the intended place for building a dam. According to the planning progress, the study was proceeded to planning site examine, assessment, conception plan. As the results of examine and assessment, it must be necessary to offered the maintenance and damage compensation if the site where include the 1st degree of biotope area, the 2nd degree of biotope and the 8th degree of green naturality area were damaged by being submerged and constructing road. In addition, according to the conception plan, we suggest the mitigation proposals such as plant communities transplant, planning of connecting green network against for influencing direct impact ecosystem that is destroying plant communities, damaging inhabitants, noise pollution, water pollution, etc.