Born to be Big: data, graphs, and their entangled complexity

  • Received: 01 May 2016 Revised: 01 July 2016 Published: 01 July 2016
  • Big Data and Big Graphs have become landmarks of current crossborder research, destined to remain so for long time. While we try to optimize the ability of assimilating both, novel methods continue to inspire new applications, and vice versa. Clearly these two big things, data and graphs, are connected, but can we ensure management of their complexities, computational efficiency, robust inference? Critical bridging features are addressed here to identify grand challenges and bottlenecks.

    Citation: Enrico Capobianco. Born to be Big: data, graphs, and their entangled complexity[J]. Big Data and Information Analytics, 2016, 1(2): 163-169. doi: 10.3934/bdia.2016002

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  • Big Data and Big Graphs have become landmarks of current crossborder research, destined to remain so for long time. While we try to optimize the ability of assimilating both, novel methods continue to inspire new applications, and vice versa. Clearly these two big things, data and graphs, are connected, but can we ensure management of their complexities, computational efficiency, robust inference? Critical bridging features are addressed here to identify grand challenges and bottlenecks.


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