This article studies the process of imitation and the characteristics of successful imitation from the perspective of memetics. Firstly, imitation is a linguistic phenomenon that imitates and modifies existing language forms based on the speaker's purpose to generate novel expressions. Dawkins and Blackmore define memetics as evolutionary replicons, which replicate information from one person to another through imitation. Imitation is a linguistic phenomenon that arises and spreads through imitation; At the same time, it satisfies three necessary conditions for becoming a replicon: mutation, selection, and inheritance. Therefore, imitation can be seen as a meme, establishing an interactive relationship between two concepts, paving the way for further research. Secondly, based on Heylighen's meme lifecycle, we believe that under the influence of language memes, the generation process of network language imitation has gone through four stages: assimilation of imitation sources, preservation of imitation sources, expression and production of imitation. Transfer imitation to other hosts through the internet. In the expression stage of imitation, information intention and communicative intention are the motivations for imitation expression; The similarity between imitation and source is the mechanism of imitation expression. Then the author analyzed some characteristics of successful imitation based on meme selection criteria, namely novelty, coherence, practicality, and humor. Due to these characteristics, imitation is widely spread online. This paper provides a new perspective for imitation research; This helps to better understand and appreciate imitation in online language, and also contributes to further research on imitation and online language.

With the rapid change of social outlook and the emergence of new things, neologisms and neologisms have also become an eye-catching and vigorous field of vocabulary research. Since the reform and opening up, the social outlook has greatly changed , and new things have emerged one after another. New words and new expressions have also become an eye-catching, changing and vigorous field of vocabulary research. According to the definition of neologisms and neologisms, the author sorted out 100 neologisms and neologisms released in the past ten years (2011-2020) of "Chinese inventory of the top ten neologisms and neologisms of the year", supplemented some examples with reference to the report on the living conditions of Chinese language (2005-2020), and selected 200 high-frequency neologisms and neologisms in the past 15 years based on the standard of modern Chinese neologisms and neologisms (including more than 10000 entries from 1990 to 2016). From definition to Motivation and semantic classification, phonetic　and grammatical word-building features, word-making methods and teaching strategies ,all of the above are thoroughly analyzed from theory to practice.

The purpose of this study is to analyze research trends in Korean language education for North Korean refugees. In pursuance of this goal, the study collected bibliographic information from 1,924 academic papers related to North Korean defectors and analyzed their research trends using language network analysis methods. The frequency and centrality of the academic papers were analyzed by year, using an analysis tool, NetMiner 4.0, which focuses on analyzing social networks. The findings of the analysis were as follows: First, the study of North Korean defectors began to explode in 2010. Second, the most central words were ‘education,’ ‘unification,’ ‘policy,’ ‘support,’ ‘experience’ and ‘relationship.’ Third, for North Korean defectors, Korean language education as a foreign language was more actively done than general Korean language education. Fourth, the analysis of 15 topics showed that topics on social issues accounted for the highest percentage at 25%. Finally, the areas of greatest interest in Korean language education were vocabulary, pronunciation, and intonation education. It is hoped that more research on Korean language education for North Korean defectors will be carried out in the future.

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers’ interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

The latest catchword “beat call” comes from Japan. It was originally one of the Live culture of the concert. In order to express their affirmation and support for the idol singers on stage, fans waved fluorescent sticks and shouted for refueling and inspiration to create a warm atmosphere together. With the high frequency use of call, it gradually extends from the entertainment field to other fields. Nowadays, call is not only applicable to this kind of idol assistance activities, but also can be expressed by call when you express support for a person, thing or thing. The “fight call” in aid culture has been rapidly disseminated in China through the help of network media. In order to make the speaker understand and make better use of “call” from the linguistic point of view, the semantics and characteristics of “call” as well as the applicable objects and users of “call” are analyzed with examples. It is found that “call” can arouse the acceptor's sense of participation, highlight the color of praise, and end the text. Better satisfy the expression of novelty and conformity psychology. Internet hotspot “call” is now widely used in the network media. With the news of Sina Weibo and People's Daily as corpus and the relevant content of language contact, this paper makes corresponding analysis on the origin, semantic components and grammar of the word “call”, the category and development course of the applicable context and the popular motivation of the word.

본고는 국어 진로 선택 과목을 탐색하는 것을 목적으로, 국어 관련 직업과 직업에서 많이 요구 하는 세부 전공 요건을 조사하여 네트워크 분석을 시행한 후 그 결과를 제시하였다. 그 결과 “광고언어학”, “언어와 시각 예술” 요건이 연결 중앙성 값이 높게 나타나 많은 국어 관련 직업에서 동시에 요구하는 요건인 것으로 파악되었고, “광고언어학”과 “신문방송학”이 사이 중앙성 값이 높게 나타나 국어 관련 직업들을 서로 이어주는 데에 주요한 역할을 하는 요건인 것으로 파악되었다. 따라서 이들 내용과 관련한 과목을 국어과 진로 선택 과목을 신설하는 방안을 제안하였다. 본고의 연구 결과는 선택 과목이 갖추어야 할 ‘위계성’, ‘총체성’, ‘실제성’, ‘완결성’을 다각도로 고려하지는 못하였다는 한계를 가지지만, 국어 진로 선택 과목을 탐색하기 위한 초기 연구로서, 추후 본격적인 국어 진로 선택 과목을 개발하는 데에 기초 자료로 활용될 수 있기를 기대한다.

중국과 한국이 다 한자문화권에 속해 언어와 문화의 비슷한 부분이 많다. 학자들이 양국 언어에 대해 비교연구를 많이 실시했으며 중한 인터넷언어는 비슷한 부분이 있지만 차이점도 적지 않다. 본 연구는 중한 양국 인터넷 언어의 어휘적 특징에 대한 비교연구를 한 결과 양국 인터넷 언어의 구성방식은 해음식, 생략식, 새로 해석식, 부호식 등으로 나눌 수 있는 공동점이 있지만 언어 자체의 특성과 사회적 문화차이 등으로 인해 많은 차이점도 있는 것으로 나타났다. 중국 인터넷 언어에서 해음 현상이 많으나 한국어에서는 적으며 중국어도 표의문자의 특성으로 인해 많은 기존 단어들에 대한 새로운 해석이 많지만 한국어에서는 거의 없다.

A network-based robot [1] is a robot that explores service servers in the network environment for analyzing sensor data and making decision. Since network-based robot architecture was proposed, it’s possible to reduce costs of robots. We hope robots would be all around at home environment. Therefore, normal users who are not experts need to be able to control those robots by using easy commands. We developed a scripting language, named CCSLR, to help users and developers who control various robots in ubiquitous environment. We focused on how to design the common language for various robots and how to translate a CCSLR script into a sequence of low-level commands of the target robot. In this paper, we propose scripting methods, with three layers. The CCSLR system reads the profile information from the knowledge representation database. Users don’t have to know all about kinematical and mechanical details of a robot. Then again, the CCSLR system will use the profile information to translate the script into separated executable library commands. The CCSLR system manages robot’s changing state every time a robot executes a command.