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Digital Maps and Automatic Narratives for the Interactive Global Histories
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  • Journal title : The Asian review of World Histories
  • Volume 4, Issue 1,  2016, pp.83-123
  • Publisher : The Asian Association of World Historians
  • DOI : 10.12773/arwh.2016.4.1.083
 Title & Authors
Digital Maps and Automatic Narratives for the Interactive Global Histories
CHEONG, Siew Ann; NANETTI, Andrea; FHILIPPOV, Mikhail;
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 Abstract
We describe a vision of historical analysis at the world scale, through the digital assembly of historical sources into a cloud-based database, where machine-learning techniques can be used to summarize the database into a time-integrated actor-to-actor complex network. Using this time-integrated network as a template, we then apply the method of automatic narratives to discover key actors (`who`), key events (`what`), key periods (`when`), key locations (`where`), key motives (`why`), and key actions (`how`) that can be presented as hypotheses to world historians. We show two test cases on how this method works. To accelerate the pace of knowledge discovery and verification, we describe how historians would interact with these automatic narratives through an online, map-based knowledge aggregator that learns how scholars filter information, and eventually takes over this function to free historians from the more important tasks of verification, and stitching together coherent storylines. Ultimately, multiple coherent storylines that are not necessary compatible with each other can be discovered through human-computer interactions by the map-based knowledge aggregator.
 Keywords
engineering historical memories;interactive global histories;automatic narratives;DIKW hierarchy;map-based knowledge aggregator;
 Language
English
 Cited by
 References
1.
Stephen J. Guy, Sean Curtis, Ming C. Lin, and Dinesh Manocha, “Least-Effort TrajectoriesLead to Emergent Crowd Behaviors,” Physical Review E 85, no. 1, (2012): 016110. crossref(new window)

2.
Gregory J. Chaitin, Algorithmic Information Theory, (Cambridge, MA: CambridgeUniversity Press, 1987).

3.
Philip Warren Anderson, “More is Different,” Science 177, no. 4047 (1972): 393-96. crossref(new window)

4.
John Stuart Mill, A System of Logic, Ratiocinative and Inductive, 8th edition, (NewYork: Harper & Brothers, 1882). Available at The Project Gutenburg EBook,https://www.gutenberg.org/files/27942/27942-h/27942-h.html.

5.
George Henry Lewes, Problems of Life and Mind: The Foundations of a Creed, vol.I & II (Boston: James R. Osgood & Co., 1875). Available athttps://archive.org/details/problemslifeand03lewegoog.

6.
Nicolai Hartmann, New Ways of Ontology, translated by Reinhard C. Kuhn, (Chicago:Henry Regnery Co., 1953). Available athttps://archive.org/details/newwaysofontolog00hart.

7.
Charlie Dunbar Broad, The Mind and its Place in Nature (London: KeganPaul,1925).

8.
Conwy Lloyd Morgan, Emergent Evolution (London: Williams & Norgate, 1923).Available at https://www.brocku.ca/MeadProject/Morgan/Morgan_1923/Morgan02_toc.html.

9.
Samuel Alexander, Space, Time, and Deity, vol. I & II (New York: The HumanitiesPress, 1920). Available at https://archive.org/details/spacetimeanddeit00alexuoft.

10.
Vince Darley, “Emergent Phenomena and Complexity,” Artificial Life 4 (1994):411-16.

11.
Marten Scheffer, Critical Transitions in Nature and Society (Princeton, NJ: PrincetonUniversity Press, 2009).

12.
Alberto-Laszlo Barabasi, Linked: How Everything is Connected to Everything Elseand What it Means for Business, Science, and Everyday Life (New York: Plume, 2003).

13.
Mark Newman, Networks: An Introduction (Oxford: Oxford University Press,2010).

14.
Alfred Renyi and Paul Erdos, “On Random Graphs,” Publicationes Mathematicae 6,no. 5 (1959): 290-97.

15.
Reka Albert, Hawoong Jeong, and Albert-Laszlo Barabasi, “Error and Attack Toleranceof Complex Networks,” Nature 406, no. 6794 (2000): 378-82. crossref(new window)

16.
Jennifer A. Dunne, Richard J. Williams, and Neo D. Martinez, “Food-Web Structureand Network Theory: The Role of Connectance and Size,” Proceedings of the NationalAcademy of Science 99, no. 20 (2002): 12917-22. crossref(new window)

17.
Albert-Laszlo Barabasi and Reka Albert, “Emergence of Scaling in Random Networks,”Science 286, no. 5439 (1999): 509-12. crossref(new window)

18.
Stanley Milgram, “The Small World Problem,” Psychology Today 2, no. 1 (1967):60-67.

19.
Duncan J. Watts and Steven H. Strogatz, “Collective Dynamics of 'Small-World'Networks,” Nature 393, no. 6684 (1998): 440-42. crossref(new window)

20.
Agata Fronczak, Piotr Fronczak, and Janusz A. Holyst, “Average Path Length inRandom Networks,” Physical Review E 70, no. 5 (2004): 056110. crossref(new window)

21.
Reuven Cohen and Shlomo Havlin, “Scale-Free Networks are Ultrasmall,” PhysicalReview Letters 90, no. 5 (2003): 058701. crossref(new window)

22.
Andrea Lancichinetti, and Santo Fortunato, “Community Detection Algorithms: AComparative Analysis,” Physical Review E 80, no. 5 (2009): 056117. crossref(new window)

23.
Duncan S. Callaway, Mark Newman, Steven H. Strogatz, and Duncan J. Watts,“Network Robustness and Fragility: Percolation on Random Graphs,” Physical Review Letters85, no. 25 (2000): 5468. crossref(new window)

24.
Petter Holme and Jari Saramaki eds. Temporal Networks, (Berlin Heidelberg:Springer, 2013).

25.
Corina E. Tarnita, Tibor Antal, Hisashi Ohtsuki, and Martin A. Nowak, “EvolutionaryDynamics in Set Structured Populations,” Proceedings of the National Academy ofSciences 106, no. 21 (2009): 8601-04. crossref(new window)

26.
Romualdo Pastor-Satorras and Alessandro Vespignani, “Epidemic Spreading InScale-Free Networks,” Physical Review Letters 86, no. 14 (2001: 3200. crossref(new window)

27.
Mark Newman, “Assortative Mixing in Networks,” Physical Review Letters 89, no.20 (2002): 208701. crossref(new window)

28.
Han Xin Yang, Zhi-Xi Wu, Changsong Zhou, Tao Zhou, and Bing-Hong Wang,“Effects of Social Diversity on the Emergence of Global Consensus in Opinion Dynamics,”Physical Review E 80, no. 4 (2009): 046108. crossref(new window)

29.
Yang-Yu Liu, Jean-Jacques Slotine, and Albert-Laszlo Barabasi, “Controllability ofComplex Networks,” Nature 473, no. 7346 (2011): 167-73. crossref(new window)

30.
Rick Quax, Andrea Apolloni, and Peter M. Sloot, “The Diminishing Role of Hubsin Dynamical Processes on Complex Networks,” Journal of The Royal Society Interface 10,no. 88 (2013): 20130568. crossref(new window)

31.
Erlend Nier, Jing Yang, Tanju Yorulmazer, and Amadeo Alentorn, “Network Modelsand Financial Stability,” Journal of Economic Dynamics and Control 31, no. 6 (2007):2033-60. crossref(new window)

32.
Stefano Battiston, Michelangelo Puliga, Rahul Kaushik, Paolo Tasca, and GuidoCaldarelli, “DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk,”Scientific Reports 2, no. 541 (2012).

33.
Ryota Zamami, Hiroshi Sato, and Akira Namatame, “Least Susceptible Networksto Systemic Risk,” Artificial Economics and Self Organization 669 (2014): 245-56. crossref(new window)

34.
Seung-Woo Son, Golnoosh Bizhani, Claire Christensen, Peter Grassberger, andMaya Paczuski, “Percolation Theory on Interdependent Networks Based on EpidemicSpreading,” Europhysics Letters 97, no. 1 (2012): 16006. crossref(new window)

35.
Ling Feng, Christopher Pineda Monterola, and Yanqing Hu, “The Simplified Self-Consistent Probabilities Method for Percolation and Its Application to Interdependent Networks,”New Journal of Physics 17, no. 6 (2015): 063025. crossref(new window)

36.
Jianxi Gao, Sergey V. Buldyrev, Shlomo Havlin, and H. Eugene Stanley, “Robustnessof a Network of Networks,” Physical Review Letters 107, no. 19 (2011): 195701. crossref(new window)

37.
Albert Merono-Penuela, Ashkan Ashkpour, Marieke Van Erp,Kees Mandemakers, Leen Breure, Andrea Scharnhorst, Stefan Schlobach, and Frank VanHarmelen, “Semantic Technologies for Historical Research: A Survey,” Semantic Web 6, no.6 (2014): 539-64 crossref(new window)

38.
Jiri Novak, Isabel Micheel, Lars Wieneke, Marten Düring, Mark Melenhorst, JavierGarcia Moron, Chiara Pasini, Marco Tagliasacchi, and Piero Fraternali, “HistoGraph--A VisualizationTool for Collaborative Analysis of Networks from Historical Social MultimediaCollections,” in Information Visualisation (IV), 2014 18th International Conference on(2014): 241-50.

39.
Marten During, Lars Wieneke, and Vincenzo Croce, “Interactive Networks for DigitalCultural Heritage Collections-Scoping the Future of HistoGraph,” in Engineering theWeb in the Big Data Era (2015): 613-16.

40.
Iris Hendrickx, Marten During, Kalliopi Zervanou, and Antal Van Den Bosch,“Searching and Finding Strikes in the New York Times,” in Proceedings of the 3rd Workshopon Annotation of Corpora for Research in the Humanities (ACRH-3). The Institute ofInformation and Communication Technologies, Bulgarian Academy of Sciences, Sofia (2013):25-36.

41.
Kalliopi Zervanou, Marten Düring, Iris Hendrickx, and Antal van den Bosch,“Documenting Social Unrest: Detecting Strikes in Historical Daily Newspapers,” in SocialInformatics (2013): 120-33.

42.
Mike Kestemont, Folgert Karsdorp, and Marten During, “Mining the TwentiethCentury's History from the Time Magazine Corpus”, in Proceedings of the 8th Workshop onLanguage Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH),(2014): 62-70.

43.
John Law, and John Hassard, Actor Network Theory and After, (Wiley, 1999).

44.
Bruno Latour, Reassembling the Social: An Introduction to Actor-Network Theory,(Oxford University Press, 2007).

45.
Russell L. Ackoff, “From Data to Wisdom,” Journal of Applied Systems Analysis16 (2010): 3-9.

46.
Gene Bellinger, Durval Castro, and Anthony Mills, “Data, Information, Knowledgeand Wisdom,” Available at http://www.systems-thinking.org/dikw/dikw.htm, 2004.

47.
Jennifer E. Rowley, “The Wisdom Hierarchy: Representations of the DIKW Hierarchy,”Journal of Information Science 33, no. 2 (2007): 163-80. crossref(new window)

48.
John N. Miksic, “Recent Archaeological Excavations in Singapore: A Comparisonof Three Fourteenth-Century Sites,” Bulletin of the Indo-Pacific Prehistory Association 20(2000): 56-61.

49.
Chris Dixon, South East Asia in the World-Economy (Cambridge, MA: CambridgeUniversity Press, 1991).

50.
Chee-Beng Tan, Chinese Peranakan Heritage in Malaysia and Singapore (Pakistan:Oxford University Press, 1993).