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Modeling Inter-country Connection from Geotagged News Reports: A Time-Series Analysis

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Data Mining and Big Data (DMBD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10387))

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Abstract

The rapid development of big data techniques provides growing opportunities to investigate large-scale events that emerge over space and time. This research utilizes a unique open-access dataset, “The Global Data on Events, Location and Tone” (GDELT), to model how China has connected to the rest of the world, as well as predicting how this connection may evolve over time based on an autoregressive integrated moving average (ARIMA) model. Methodologically, we examined the effectiveness of traditional time series models in predicting trends in long-term mass media data. Empirically, we identified various types of ARIMA models to depict the connection patterns between China and its top 15 related countries. This study demonstrates the power of applying GDELT and big data analytics to investigate informative patterns for interdisciplinary researchers, as well as provides valuable references to interpret regional patterns and international relations in the age of instant access.

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References

  1. Eagle, N., Pentland, A., Lazer, D.: Inferring friendship network structure by using mobile phone data. Proc. Natl. Acad. Sci. USA 106, 15274–15278 (2009)

    Article  Google Scholar 

  2. Liben-Nowell, D., Novak, J., Kumar, R., Raghavan, P., Tomkins, A.: Geographic routing in social networks. Proc. Natl. Acad. Sci. USA 102, 11623–11628 (2005)

    Article  Google Scholar 

  3. Yuan, Y., Liu, Y.: Exploring inter-country connection in mass media: a case study of China. In: International Conference on Location-based Social Media, Athens, Georgia (2015)

    Google Scholar 

  4. Mazzitello, K.I., Candia, J., Dossetti, V.: Effects of mass media and cultural drift in a model for social influence. Int. J. Mod. Phys. C 18, 1475–1482 (2007)

    Article  MATH  Google Scholar 

  5. Stephen, A., Galak, J.: The effects of traditional and social earned media on sales: a study of a microlending marketplace. J. Mark. Res. 49, 624–639 (2012)

    Article  Google Scholar 

  6. Meraz, S.: Is there an elite hold? Traditional media to social media agenda setting influence in blogs networks. J. Comput. Mediated Commun. 14, 682–707 (2009)

    Article  Google Scholar 

  7. Leetaru, K., Schrodt, P.: GDELT: global data on events, language, and tone, 1979–2012. In: International Studies Association Annual Conference, San Diego, CA (2013)

    Google Scholar 

  8. Yonamine, J.E.: Predicting future levels of violence in Afghanistan district using GDELT. UT Dallas (2013)

    Google Scholar 

  9. Cohen, S.B., Cohen, S.B.: Geopolitics: The Geography of International Relations. Rowman & Littlefield, Lanham (2009)

    Google Scholar 

  10. Liu, Y., Wang, F.H., Kang, C.G., Gao, Y., Lu, Y.M.: Analyzing relatedness by toponym co-occurrences on web pages. Trans. GIS 18, 89–107 (2014)

    Article  Google Scholar 

  11. Wilde, G.J.S.: Effects of mass-media communications on health and safety habits - an overview of issues and evidence. Addiction 88, 983–996 (1993)

    Article  Google Scholar 

  12. Gao, H., Liu, H.: Mining Human Mobility in Location-Based Social Networks. Morgan & Claypool Publisher (2015)

    Google Scholar 

  13. Memon, I., Chen, L., Majid, A., Lv, M.Q., Hussain, I., Chen, G.C.: Travel recommendation using geo-tagged photos in social media for tourist. Wireless Pers. Commun. 80, 1347–1362 (2015)

    Article  Google Scholar 

  14. Wu, L., Zhi, Y., Sui, Z.W., Liu, Y.: Intra-urban human mobility and activity transition: evidence from social media check-in data. PLoS ONE 9, e97010 (2014)

    Article  Google Scholar 

  15. McQuail, D.: The influence and effects of mass media. In: Graber, D.A. (ed.) Media Power in Politics. CQ Press, Washington, D.C. (1979)

    Google Scholar 

  16. Liebert, R.M., Schwartzberg, N.S.: Effects of mass-media. Annu. Rev. Psychol. 28, 141–173 (1977)

    Article  Google Scholar 

  17. Yuan, Y., Liu, Y., Wei, G.: Exploring inter-country connection in mass media: a case study of China. Comput. Environ. Urban Syst. 62, 86–96 (2017)

    Article  Google Scholar 

  18. Yu, T., Jan, T., Debenham, J., Simoff, S.: Classify unexpected news impacts to stock price by incorporating time series analysis into support vector machine. In: 2006 IEEE International Joint Conference on Neural Network Proceedings, vols. 1–10, pp. 2993–2998 (2006)

    Google Scholar 

  19. Schrodt, P.: Conflict and Mediation Event Observations Event and Actor Codebook V.1.1b3. (2012)

    Google Scholar 

  20. Jiang, L., Mai, F.: Discovering bilateral and multilateral causal events in GDELT. In: International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Geography, Texas State University, San Marcos, TX, 78666, USA

    Yihong Yuan

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  1. Yihong Yuan
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Correspondence to Yihong Yuan .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Yuan, Y. (2017). Modeling Inter-country Connection from Geotagged News Reports: A Time-Series Analysis. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61844-9

  • Online ISBN: 978-3-319-61845-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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