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Research on the Million Follower Fallacy Receives the Test of Time Award
Professor Meeyoung Cha’s research investigating the correlation between the number of followers on social media and its influence was re-highlighted after 10 years of publication of the paper. Saying that her research is still as relevant today as the day it was published 10 years ago, the Association for the Advancement of Artificial Intelligence (AAAI) presented Professor Cha from the School of Computing with the Test of Time Award during the 14th International Conference on Web and Social Media (ICWSM) held online June 8 through 11. In her 2010 paper titled ‘Measuring User Influence in Twitter: The Million Follower Fallacy,’ Professor Cha proved that number of followers does not match the influential power. She investigated the data including 54,981,152 user accounts, 1,963,263,821 social links, and 1,755,925,520 Tweets, collected with 50 servers. The research compares and illustrates the limitations of various methods used to measure the influence a user has on a social networking platform. These results provided new insights and interpretations to the influencer selection algorithm used to maximize the advertizing impact on big social networking platforms. The research also looked at how long an influential user was active for, and whether the user could freely cross the borders between fields and be influential on different topics as well. By analyzing cases of who becomes an influencer when new events occur, it was shown that a person could quickly become an influencer using several key tactics, unlike what was previously claimed by the ‘accidental influential theory’. Professor Cha explained, “At the time, data from social networking platforms did not receive much attention in computer science, but I remember those all-nighters I pulled to work on this project, fascinated by the fact that internet data could be used to solve difficult social science problems. I feel so grateful that my research has been endeared for such a long time.” Professor Cha received both her undergraduate and graduate degrees from KAIST, and conducted this research during her postdoctoral course at the Max Planck Institute in Germany. She now also serves as a chief investigator of a data science group at the Institute for Basic Science (IBS). (END)
Participation in the 2018 Bio-Digital City Workshop in Paris
(A student make a presentatiion during the Bio-Digital City Workshop in Paris last month.) KAIST students explored ideas for developing future cities during the 2018 Bio-Digital City Workshop held in Paris last month. This international workshop hosted by Cité des Sciences et de l'Industrie was held under the theme “Biomimicry, Digital City and Big Data.” During the workshop from July 10 to July 20, students teamed up with French counterparts to develop innovative urban design ideas. Cité des Sciences et de l'Industrie is the largest science museum in Europe and is operated by Universcience, a specialized institute of science and technology in France. Professor Seongju Chang from the Department of Civil and Environmental Engineering and Professor Jihyun Lee of the Graduate School of Culture Technology Students led the students group. Participants presented their ideas and findings on new urban solutions that combine biomimetic systems and digital technology. Each student group analyzed a special natural ecosystem such as sand dunes, jellyfish communities, or mangrove forests and conducted research to extract algorithms for constructing sustainable urban building complexes based on the results. The extracted algorithm was used to conceive a sustainable building complex forming a part of the urban environment by applying it to the actual Parisian city segment given as the virtual site for the workshop. Students from diverse background in both countries participated in this convergence workshop. KAIST students included Ph.D. candidate Hyung Min Cho, undergraduates Min-Woo Jeong, Seung-Hwan Cha, and Sang-Jun Park from the Department of Civil and Environmental Engineering, undergraduate Kyeong-Keun Seo from the Department of Materials Science and Engineering, JiWhan Jeong (Master’s course) from the Department of Industrial and Systems Engineering, Ph.D. candidate Bo-Yoon Zang from the Graduate School of Culture Technology. They teamed up with French students from diverse backgrounds, including Design/Science, Visual Design, Geography, Computer Science and Humanities and Social Science. This workshop will serve as another opportunity to expand academic and human exchange efforts in the domain of smart and sustainable cities with Europe in the future as the first international cooperation activity of KAIST and the Paris La Villette Science Museum. Professor Seong-Ju Chang who led the research group said, "We will continue to establish a cooperative relationship between KAIST and the European scientific community. This workshop is a good opportunity to demonstrate the competence of KAIST students and their scientific and technological excellence on the international stage.”
Strengthening Industry-Academia Cooperation with LG CNS
On November 20, KAIST signed an MoU with LG CNS for industry-academia partnership in education, research, and business in the fields of AI and Big Data. Rather than simply developing education programs or supporting industry-academia scholarships, both organizations agreed to carry out a joint research project on AI and Big Data that can be applied to practical business. KAIST will collaborate with LG CNS in the fields of smart factories, customer analysis, and supply chain management analysis. Not only will LG CNS offer internships to KAIST students, but it also will support professors and students who propose innovative startup ideas for AI and Big Data. Offering an industry-academia scholarship for graduate students is also being discussed. Together with LG CNS, KAIST will put its efforts into propose projects regarding AI and Big Data in the public sector. Furthermore, KAIST and LG CNS will jointly explore and carry out industry-academia projects that could be practically used in business. Both will carry out the project vigorously through strong cooperation; for instance, LG CNS employees can be assigned to KAIST, if necessary. Also, LG CNS’s AI and Big Data platform, called DAP (Data Analytics & AI Platform) will be used as a data analysis tool during the project and the joint outcomes will be installed in DAP. KAIST professors with expertise in AI deep learning have trained LG CNS employees since the Department of Industrial & Systems Engineering established ‘KAIST AI Academy’ in LG CNS last August. “With KAIST, the best research-centered university in Korea, we will continue to lead in developing the field of AI and Big Data and provide innovative services that create value by connecting them to customer business,” Yong Shub Kim, the CEO of LG CNS, highlighted.
KAIST Professors Sweep the Best Science and Technology Award
(Distinguished Professors Sang Yup Lee (left) and Kyu-Young Whang) Distinguished Professors Sang Yup Lee from the Department of Chemical and Biomolecular Engineering and Kyu-Young Whang of the College of Computing were selected as the winners of the "2017 Korea Best Science and Technology Award" by the Ministry of Science, ICT and Future Planning (MSIP) and the Korea Federation of Science and Technology Societies. The award, which was established in 2003, is the highest honor bestowed to the two most outstanding scientists in Korea annually. This is the first time that KAIST faculty members have swept the award since its founding. Distinguished Professor Lee is renowned for his pioneering studies of system metabolic engineering, which produces useful chemicals by utilizing microorganisms. Professor Lee has developed a number of globally-recognized original technologies such as gasoline production using micro-organisms, a bio-butanol production process, microbes for producing nylon and plastic raw materials, and making native-like spider silk produced in metabolically engineering bacterium which is stronger than steel but finer than human hair. System metabolism engineering was also selected as one of the top 10 promising technologies in the world in 2016 by the World Economic Forum. Selected as one of the world’s top 20 applied bioscientists in 2014 by Nature Biotechnology, he has many ‘first’ titles in his academic and research careers. He was the first Asian to win the James Bailey Award (2016) and Marvin Johnson Award (2012), the first Korean elected to both the US National Academy of Science (NAS) and the National Academy of Engineering (NAE) this year. He is the dean of KAIST institutes, a multi and interdisciplinary research institute at KAIST. He serves as co-chair of the Global Council on Biotechnology and as a member of the Global Future Council on the Fourth Industrial Revolution at the World Economic Forum. Distinguished Professor Whang, the first recipient in the field of computer science in this award, has been recognized for his lifetime achievement and contributions to the development of the software industry and the spreading of information culture. He has taken a pioneering role in presenting novel theories and innovative technologies in the field of database systems such as probabilistic aggregation, multidimensional indexing, query, and database and information retrieval. The Odysseus database management system Professor Hwang developed has been applied in many diverse fields of industry, while promoting the domestic software industry and its technical independence. Professor Hwang is a fellow at the American Computer Society (ACM) and life fellow at IEEE. Professor Whang received the ACM SIGMOD Contributions Award in 2014 for his work promoting database research worldwide, the PAKDD Distinguished Contributions Award in 2014, and the DASFAA Outstanding Contributions Award in 2011 for his contributions to database and data mining research in the Asia-Pacific region. He is also the recipient of the prestigious Korea (presidential) Engineering Award in 2012.
Big Data Reveals the Secret of Classical Music Creation
Professor Juyong Park of the Graduate School of Culture Technology at KAIST and his research team have recently published the result of their study (“Topology and Evolution of the Network of Western Classical Music Composers”) on the dynamics of how classical music is created, stylized, and disseminated in EPJ Data Science online on April 22, 2015. For the press release issued by the journal, please go to the link below: EPJ Data Science, May 6, 2015 “EPJ Data Science Highlight—Big Data Reveals Classical Music Creation Secrets” http://www.epj.org/113-epj-ds/941-epjds-highlight-big-data-reveals-classical-music-creation-secrets Researchers used big-data analysis and modelling technique to examine the complex, undercurrent network of classical music composers, which was constructed from the large volume of compact disc (CD) recordings data collected from an online retailer, ArkivMusic, and a music reference website, AllMusicGuide. The study discovered that the basic characteristics of composers’ network are similar to many real-world networks, including the small-world property, the existence of a giant component, high clustering, and heavy-tailed degree distributions. The research team also found that composers collaborated and influenced each other and that composers’ networks grew over time. The research showed that consumers of classical music CDs tend to listen together to the music of a certain group of different composers, offering a useful tool to understand how the music style and market develops. Based on this, the research team predicted the future of the classical music market would be centered on top composers, while maintaining diversity due to the growing number of new composers. Professor Park said, “In recent years, technology greatly affects the way we consume culture and art. Accordingly, we see more and more artists and institutions try to incorporate technology into their creative process, and this will lead us to larger- and higher-quality data that can allow us to learn more about culture and art. The quantitative methodology we have demonstrated in our research will give us an opportunity to explore the nature of art and literature in novel ways.” The European Physical Journal (EPJ) comprises a series of peer-reviewed journals, eleven in total, which cover physics and related subjects such as The Large Hadron Collider, condensed matter, particles, soft matter, and biological physics. The EPJ Data Science is the latest journal launched by EPJ. Figure: Backbone of the Composer Network The composer-composer network backbone, projected from the CD-composer network, reveals the major component of the network. The node sizes represent the composers’ degrees, and the colors represent their active periods.
2014 Conference on Korean Sociology Held at KAIST
The Korean Sociological Association (KSA) hosted a two-day conference in 2014 entitled “In the age of anxiety, sociology can present answers” at the College of Liberal Arts and Convergence Science, KAIST, on June 20-21, 2014. Professor Jung-Ro Yoon of the Department of Humanities and Social Sciences at KAIST is the President of KSA. The conference addressed issues such as big data and risk society. During the conference, 40 sessions took place, and 150 research papers were released. Professor Yoon said, “The conference will offer a great opportunity for Korean sociologists to discuss anxiety, chaos, risk, and the uncertainty that Korean society experiences and suggest answers and a new vision upon which Korean society should move forward.”
KAIST to Hold "Data Science Workshop"
Discussion regarding the scientific utilization of data and its future possibilityThe upcoming 2nd Data Science Workshop is to be held at COEX, Seoul, on 27th February‘Big Data’ has attracted the explosion of interest in recent years. KAIST has arranged a platform of discussion for the utilization of data science and its possible usage in the future.The Department of Knowledge Services Engineering at KAIST is to hold the 2nd Knowledge Services Workshop under the topic of "Data Science for Industry" at COEX, Seoul, on 27th February.Data Science refers to using scientific approach to extract generalized knowledge from the data in order to find meaningful information.With the era of Big Data ahead, the amounts of data produced by the industry are rapidly increasing. The companies have recognized the significance of the data, however, the understanding of its systematic utilization is yet to be realized."Data Science Workshop" has been organized to discuss on how to create a new value using the data compiled by the industry. Lectures are to be given by four leading professionals in the field of data science, who are the professors from Department of Knowledge Services Engineering at KAIST. The head of the department, Mun-Yong Lee, said, “This workshop will be an opportunity for the companies that are considering introducing data science, as well as the students who are interested in the related field, to think about the possibility and future of data science.”Pre-registration for the workshop is currently open until 23rd February on the official website (http://kseworkshop.kaist.ac.kr).
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