• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3935-3949
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• 2021

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.

• Asia pacific journal of information systems
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• 제29권3호
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• pp.382-406
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• 2019

We study the antecedents to tie formation on an (Facebook-like) enterprise social media platform implemented to support cross-boundary connections. Research has produced mixed findings regarding the role of social media in cultivating bridging vs. closed networks. We examine the tie formation patterns of 1,386 enterprise social media users over a two-year period. Specifically, we observe who became (or chose not s become) "friends" with whom at the dyadic level and relate the decisions to various mechanisms that affect one's network to expand, constrain, or bridge. Using logistic and OLS regressions, we find that users tend to form ties via reciprocity and transitivity (with friends of friends), both of which help expand one's network. We also find strong networking tendency toward functional and hierarchical homophily (same business unit and same rank, respectively), which is likely to constrain one's network (closed network structure). We find that one's participation in various online interest groups is likely to open one's network (bridging network structure) while no evidence found for preferential attachment. Overall, we find that enterprise social media offers features, some of which are likely to foster bridging while others foster closed networks via different mechanisms.

• 디자인학연구
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• 제19권3호
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• pp.131-142
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• 2006

The purpose of this study is to develop an online community construct, which proposes an inclusive illustration of the structure of online communities, for online community designers. This study reviewed researches from psychology, sociology, management engineering, and practical reports to understand the characteristics and dynamics of online communities. The proposed online community construct visualizes the cognitive, affective, and behavioral aspects of online community. As the notion of community originates from geographical groups, and with the assumption that geographical community shares identical characteristics with online community, this study reviewed researches about geographical communities as a starting-point. Then the study went through three main perspectives (1) online community attributes, (2) sense of online community and (3) challenges of online community. Then this study proposed an online community construct that encompasses the reviewed frameworks. The online community can be seen as a congregation of members from two sources. One is from the 'Shared Goal' that meets the personal needs. Given the shared goal, members gather into the community without personal relationship and have more chances to feel the sense of belonging to their needs fulfillment or benefit. This befitting tendency leads to strengthening of membership. Public online forums fall under this classification. The other source is from the emotional connections that are already initiated by personal and casual contacts in the real world. The network of emotional connection can evolve into an online congregation of people under faint boundaries. Although there is no (or weak) shared goal, members are strongly bound to other members. Personal homepage or web log (blog) can be classified as an example of relationship-oriented community.

• Asia pacific journal of information systems
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• 제22권2호
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• pp.39-69
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• 2012

With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.52-55
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• 1998

New electronic commercial paradign is now diffusing based on the rapid growth of computer network infrastructure and, therefore, online shopping malls are aggressively expanding all over the world. In this paper, we identify facilitating factors that affect active utilization of online shopping mall considering customers' needs and convenience such as service availability, information relevance to customers' needs. and system convinience. Empirical data analysis was performed for nine Korean online shopping malls. Results suggest that current shopping malls should concentrate on delivering relevant information to the customers needs and developing convenient shopping mall systems.

• 정보과학회 논문지
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• 제44권11호
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• pp.1231-1235
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• 2017

온라인 소셜 네트워크는 정보전파의 용이성 및 파급 영향력이 높지만 이를 악의적으로 활용하기 위한 스패머들이 다수 활동 중이다. 이러한 스패머를 식별하기 위한 스팸 탐지기법 연구가 다양한 분야에서 이루어지고 있지만 스패머들 또한 스팸 내용이나 스팸링크, 활동 주기 등의 특성을 변경하여 탐지를 피하고 있다. 하지만 다른 특성들과 달리 온라인 소셜 네트워크의 고유 네트워크 특성인 링크 특성은 쉽게 변화시키는 어렵다. 따라서 본 논문에서는 이러한 네트워크의 구조적인 특성을 활용하여 스패머를 일반사용자와 구분하는 방법을 제시한다. 즉 일반사용자 노드가 주변 노드와 비슷한 네트워크 특성을 갖는 점에 주목하여 인접 노드를 활용한 재귀적인 구조적 특성을 생성하여 활용함으로써 스패머의 식별확률을 높이고 있다. 이를 검증하기 위한 실험은 트위터의 실제 데이터셋을 Weka 프로그램에 탑재된 랜덤포레스트 알고리즘을 활용하여 측정하였으며, 재귀적인 특성을 활용하지 않는 방법과 기존 제안 알고리즘에 비해 탐지율이 0.82에서 0.90으로 향상됨으로써 제안하는 방법이 스패머를 탐지하는데 효과적임을 제시하고 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.127-135
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• 2021

The goal of this study was to explore the use of multiple SNS platforms and determine whether the number of used platforms affects one's online self-presentations across the said platforms and if there is any difference in one's online and offline self-presentations based on how many SNS platforms are used. This work studied online self-presentations, compared the on/offline ones and tried to find out if the inconsistencies of one's own (observer's) self-presentations both online (across platforms) and on/offline affected the observer's impression formation (likability, trustworthiness and hypocrisy) of others. The study also aimed to find out if the impression of the others' inconsistency both online and offline would differ based on the level of intimacy between the observer and the discussant. Three levels of intimacy were studied in order to do this: friends, acquaintances and strangers (online-only friends). The results showed that the more platforms people used the more inconsistent their online self-presentations got. Even though the results of the study showed barely significant relationship between the number of SNS accounts and one's online and offline self-presentation, and partial connection between observer's inconsistent self-presentations and impression formation of others, interestingly enough, the results managed to find significant differences between the impressions based on the level of intimacy between the observer and the discussants.

• Journal of Power Electronics
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• 제14권5호
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• pp.980-988
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• 2014

This paper proposes an online gain tuning algorithm for a robust sliding mode speed controller of surface-mounted permanent magnet synchronous motor (SPMSM) drives. The proposed controller is constructed by a fuzzy neural network control (FNNC) term and a sliding mode control (SMC) term. Based on a fuzzy neural network, the first term is designed to approximate the nonlinear factors while the second term is used to stabilize the system dynamics by employing an online tuning rule. Therefore, unlike conventional speed controllers, the proposed control scheme does not require any knowledge of the system parameters. As a result, it is very robust to system parameter variations. The stability evaluation of the proposed control system is fully described based on the Lyapunov theory and related lemmas. For comparison purposes, a conventional sliding mode control (SMC) scheme is also tested under the same conditions as the proposed control method. It can be seen from the experimental results that the proposed SMC scheme exhibits better control performance (i.e., faster and more robust dynamic behavior, and a smaller steady-state error) than the conventional SMC method.

• 방송공학회논문지
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• 제23권2호
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• pp.186-196
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• 2018

본 논문에서는 객체를 추적하기 위해 합성곱 신경망 모델을 이용한 온라인 추적 기법을 제안한다. 오프라인에 모델을 학습시키기 위해서는 많은 수의 훈련 샘플이 필요하다. 이러한 문제를 해결하기 위해, 학습되지 않은 모델을 사용하고, 실험 영상으로부터 직접 훈련 샘플을 수집하여 모델을 갱신한다. 기존의 방법들은 많은 훈련 샘플을 획득하여 모델의 학습에 사용하였지만, 본 논문에서는 적은 수의 훈련 샘플만으로도 객체의 추적이 가능함을 증명한다. 또한 컬러 정보를 활용하여 새로운 손실 함수를 정의하였고 이로부터 잘못 수집된 훈련 샘플로 인해 모델이 잘못된 방향으로 학습되는 문제를 방지한다. 실험을 통해 4가지 비교 방법과 동등하거나 개선된 추적 성능을 보임을 증명하였다.

• 정보보호학회논문지
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• 제13권6호
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• pp.45-54
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• 2003

공개키 인증서는 유효기간 이전에도 소유자의 신원정보 변경이나 개인키의 훼손과 같은 이유로 폐지가 가능하다. 인증서는 상대적으로 긴 시간의 유효기간을 가지기 때문에 폐지될 수 있는 가능성이 높다. 공개키 기반구조에서 기술적인 중요한 문제는 인증서 상태에 대한 처리에 있다. 본 논문은 금융 네트워크의 환경에서 적합한 실시간 인증서 상태 확인 메커니즘을 제안한다. 제안 방식의 특징은 검증자목록을 이용하여 실시간으로 인증서 폐지 정보를 전송하는데 있다. 이 방식은 성능에 대한 실험에서 대표적인 상태확인 메커니즘인 실시간 인증서 상태 프로토콜(OCSP：On-line Certificate Status Protocol)과 동일한 현재성을 제공한다. 이와 동시에 감내하기 어려운 집중된 네트워크 전송에서 상태 확인의 부담을 줄인다.