• Title/Summary/Keyword: social influence direction & strength

Search Result 3, Processing Time 0.017 seconds

Framework for Measuring Dynamic Influence Index & Influence Factors using Social Data on Facebook (페이스북 소셜 데이터를 이용한 동적 영향 요인 및 영향력 측정 방법에 관한 프레임워크)

  • Koh, Seoung-hyun;You, Yen-yoo
    • Journal of Digital Convergence
    • /
    • v.14 no.10
    • /
    • pp.137-145
    • /
    • 2016
  • The explosive growth of social networking services based on smart devices popularize these relationships and activities online in accordance with the far larger impact of this on the real life offline, the interest and importance for the online activity is increasing. In this study, factors affecting the SNS activity are defined by object, user, influence direction, influence distance and proposed a method to measure organic terms in effect between the SNS users. Influence Direction and Influence Strength (or Distance) are elaborated by using the existing influence measurement element such as structured data - the number of friends, the difference between the number of contacts - and the new influence measurement element such as unstructured data - gap between the former time and the latter time, preference and type of response behavior - that occur in social network service. In addition, the system for collecting and analysing data for measuring influence from social network service and the process model on the method for measuring influence is tested by using sample data on Facebook and explained the implementation probability.

Artificial Intelligence Strategy for Advertising and Media Industries: Focused on In-depth Interviews (광고 및 미디어 산업 분야의 인공지능(AI) 활용 전략 : 심층인터뷰를 중심으로)

  • Cha, Young Ran
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.9
    • /
    • pp.102-115
    • /
    • 2018
  • The world's major countries carry forward strategies for enhancing industrial competitiveness, resulting in the fourth industrial revolution while a new growth engine is required to deal with the slow growth of global economy and declining productivity. Artificial intelligence (AI) is regarded as a core technology of the fourth industrial revolution. AI is expected to be implemented rapidly in advertising and media industries. However, it is hard to find an effective way to implement AI in these industries, especially because of how quickly the AI market changes and develops. Therefore, this study seeks the possible industrial influence of AI in advertising and media industries and invigoration plan for AI, by an in-depth interview with 10 professionals who lead the AI market. First, it was analyzed to explore the macroscopic side of the AI market through P (Politics), E (Economy), S (Society), and T (Technology). Also, the applicability of AI in advertising and media industries was explored by analyzing its S (Strength), W (Weakness), O (Opportunity), and T (Threat).The result indicates that it is necessary to build up a nation-wide construction of infrastructure for the fourth industrial revolution to invigorate AI in advertising and media industries. Moreover, a social environment capable of overcoming a hyper-connected society and social risks should be fostered. Lastly, it is urgent for both the industrial and academic world to diagnose the influence of AI in advertising and media industries, to anticipate the future in accordance with technological advance, set a proper direction, to invest actively for technical development of AI, and to formulate innovative policies.

The Analysis of Organizational Factors Affecting the Outcome of Federal FOIA Implementation for National Security (국가 안보를 위한 미국 정보 자유법 시행의 결과에 미치는 조직적 요인의 분석)

  • Kwon, Hyck-Bin
    • Korean Security Journal
    • /
    • no.24
    • /
    • pp.1-31
    • /
    • 2010
  • This article aims to identify organizational factors that influence the performance of implementation of the U.S. Freedom of Information Act (FOIA) and to investigate the strength and direction of their effects. Explanatory variables include administrative resources, organizational culture, litigation cost, and the complexity of FOIA requests. The study will analyze quantitative secondary data from official statistics of federal agencies and the 2006 Federal Human Capital Survey as well as qualitative data from semi-structured interviews of FOIA officers. The results of statistical analyses are as follows : FOIA funding significantly affects median processing time and number of requests pending. There is a significant relationship between bureaucratic culture and number of requests pending, but not between bureaucratic culture and number of requests pending. There exists a significant relationship between the cost of FOIA litigation to federal agencies and the performance of FOIA implementation. There exists a significant relationship between the complexity of FOIA requests and the performance of FOIA implementation. This study also has important implication in South Korea, which has been under a sharp confrontation with North Korea for more than 50 years. As illustrated by the conflict between people's right to know and national security during the investigation of recent Sinking of the ROKS Cheonan, efforts should be made to prepare legal and institutional mechanism for freedom of information policy which can maintain a balance between conflicting values as well as efficient information disclosure in Korea.

  • PDF