• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.851-858
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• 2009

Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.

• Industry Promotion Research
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• v.8 no.4
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• pp.177-186
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• 2023

Modern society is operated based on the internet, wireless networks, and digital devices to the extent that it is called a digital society. In particular, as most of financial transactions, information movement, and commercial activities are based online, various social problems and side effects related to this are increasing rapidly. Representative examples include industrial espionage activities and leakage of industrial technology, and social problems such as illegal goods trade such as drugs using online and online gambling are increasing to a serious level. These digital-based social problems cannot be solved only by the activities and capabilities of judicial institutions such as police and prosecutors. Now that the private investigation market is open, active intervention using them is necessary. To this end, it is necessary to actively cultivate private investigator's ability to investigate and collect evidence in relation to digital social and criminal problems. In addition, each private investigation education institution or association should actively invest and research this.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.4
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• pp.639-656
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• 2020

Consumers' shopping experience has recently expanded to mobile and social networks; in addition, online fashion retailers started to focus on real-time interaction services as an emerging marketing tool. This study explores the consumer' shopping experience based on social live streaming services (SLSS) to investigate consumer's response behavior and effects through perceived service quality. An online survey method was conducted and a total of 186 female consumer panels were collected. The results indicate that cognitive communion of co-experience had a significant effect on perceived SLSS service quality (responsiveness, contents informativeness, playfulness, system availability). Service quality of SLSS (responsiveness, contents informativeness, and playfulness) had significant effect on trust in SLSS seller while system availability had no significant effect. Also, trust in seller showed significant effect on purchase intention. Last, it was confirmed that the moderating effect of purchasing experience of SLSS was significant in the relationship between cognitive communion and responsiveness/playfulness. There was also an additional significant moderating effect of purchasing experience between system availability and trust in seller.

• The Journal of the Convergence on Culture Technology
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• v.2 no.1
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• pp.93-98
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• 2016

As information technologies are rapidly developed recently, social networking services through a variety of mobile devices and smart screen is becoming popular. SNS is a social networking based services which is online forms from existed offline. SNS can also be used differently which is confused with the online community. A modelling algorithm is a variety of techniques, which are assocoation, clustering, neural networks, and decision trees, etc. By utilizing this technique, it is necessary to study to effectively using the large number of materials. In this paper, we evaluate in particular the performance of the algorithm based on the results of the clustering using Facebook Insights data for the EM algorithm to be evaluated as a good performance in clustering. Through this analysis it was based on the results of the application of the experimental data of the change and the South Australian state library according to the performance of the EM algorithm.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.27-36
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• 2015

The purpose of this study was to investigate the influence relationships among individual career orientation, preparation of old age, social networks, and the entrepreneurial intention of the potential entrepreneurs. 408 numbers of structured questionnaire were collected from the potential entrepreneurs who live in Seoul through the online Google survey method and offline face to face method. And the collected data was analyzed on frequency analysis, validity analysis, t-test, ANOVA, and regression analysis etc. using the SPSS WIN 21.0 program. The results are as follows. Firstly, innovation, entrepreneurial creativity, and autonomy orientation affect on entrepreneurial intention positively(+), but security orientation has a negative(-) effect on entrepreneurial intention in the influence relationships between individual career orientation and entrepreneurial intention. Secondly, economical and emotional preparation have positive(+) influences on entrepreneurial intention in the influence relationships between individual career orientation and entrepreneurial intention. Thirdly, the sub-variables of social networks, that is, assist and role models exert a positive(+) influence on entrepreneurial intention in the influence relationships between social networks and entrepreneurial intention. Fourthly, social networks plays a moderating role only on the relationship between security orientation and entrepreneurial intention in the analysis about the moderating effects of social networks on the influence relationships among individual career orientation, preparation of old age, and entrepreneurial intention. Fifth, a social network of relationships to help prepare the old establishment has been found to help regulate effective analysis of whether or not the results of adjustment.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.145-156
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• 2015

In recent years, electronic commerce and online social networks (OSNs) have experienced fast growth, and as a result, recommendation systems (RSs) have become extremely common. Accuracy and robustness are important performance indexes that characterize customized information or suggestions provided by RSs. However, nefarious users may be present, and they can distort information within the RSs by creating fake identities (Sybils). Although prior research has attempted to mitigate the negative impact of Sybils, the presence of these fake identities remains an unsolved problem. In this paper, we introduce a new weighted link analysis and influence level for RSs resistant to Sybil attacks. Our approach is validated through simulations of a broad range of attacks, and it is found to outperform other state-of-the-art recommendation methods in terms of both accuracy and robustness.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.124-142
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• 2016

Companies operating in social network platforms continue to improve and expand their marketing techniques. This study examines the practice of "gating", which involves virtual barriers between social network users and company content. Gates demand mandatory user endorsements, in the form of a Facebook "Likes", Twitter "retweets" etc., to gain access to company content, such as coupons and rewards,. Gating practices demand a mandatory endorsement before any content consumption takes place. Thus, while user endorsements are assumed to arise voluntarily from trusted known sources, gating practices would appear to violate this assumption. However, whether this violation lessens the effectiveness of gating practices still requires empirical validation. We investigate this question through the use of a unique panel data set that includes data on "like" endorsements obtained from a number of real-world Facebook business pages. Results of the study show that gating practices are effective for endorsement solicitation; however, gates may interfere with more traditional marketing activities.

• ETRI Journal
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• v.38 no.1
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• pp.52-61
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• 2016

A microblog is a service typically offered by online social networks, such as Twitter and Facebook. From the perspective of information dissemination, we define the concept behind a spreading matrix. A new WeiboRank algorithm for identification of key nodes in microblog networks is proposed, taking into account parameters such as a user's direct appeal, a user's influence region, and a user's global influence power. To investigate how measures for ranking influential users in a network correlate, we compare the relative influence ranks of the top 20 microblog users of a university network. The proposed algorithm is compared with other algorithms - PageRank, Betweeness Centrality, Closeness Centrality, Out-degree - using a new tweets propagation model - the Ignorants-Spreaders-Rejecters model. Comparison results show that key nodes obtained from the WeiboRank algorithm have a wider transmission range and better influence.

• Journal of KIISE
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• v.44 no.11
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• pp.1231-1235
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• 2017

Given the network structure in online social network, it is important to determine a way to distinguish spam accounts from the network features. In online social network, the service provider attempts to detect social spamming to maintain their service quality. However the spammer group changes their strategies to avoid being detected. Even though the spammer attempts to act as legitimate users, certain distinguishable structural features are not easily changed. In this paper, we investigate a way to generate meaningful network structure features, and suggest spammer detection method using recursive structural features. From a result of real-world dataset experiment, we found that the proposed algorithm could improve the classification performance by about 8%.

• Journal of Internet Computing and Services
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• v.8 no.4
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• pp.137-147
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• 2007

As Web-based online communities are rapidly growing, the agents in social groups need to know their measurable belief of trust for safe andsuccessful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The averagetrust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. And then, we precisely describe the relationship between reputation, trust, and averagetrust through a concrete example of their computations. We apply our trust model to online internet settings in order to show how trust mechanisms are involved in a rational decision-making of the agents.