- Title
- Business Network Analytics: From Graphs to Supernetworks
- Creator
- Moscato, Pablo
- Relation
- Business and Consumer Analytics: New Ideas p. 307-400
- Publisher Link
- http://dx.doi.org/10.1007/978-3-030-06222-4
- Publisher
- Springer
- Resource Type
- book chapter
- Date
- 2019
- Description
- A large number of problems in business and consumer analytics have input graphs or networks. These mathematical entities have a long standing tradition in discrete applied mathematics and computer science. In many cases, they are the most natural means to represent some type of relationships in data. Consequently, a large number of solution methods based on heuristics and exact algorithms exist for problems that have graphs and/or networks as part of their input. While the number of possible applications of these techniques is not limited to problems in business and customer analytics, we have chosen to present some of them in a survey that would allow newcomers to the field of data science to create some familiarity with the key questions that motivate the area. We have also provided a survey on recent applications and new algorithmic approaches for data analytics. In addition we discuss issues related to the computational complexity of some problems associated with them. Other chapters of this section complement the discussion in this chapter with specific examples of interest or that could motivate new novel research direction and application.
- Description
- 1st ed.
- Subject
- data analytics; graph theory; marketing; network
- Identifier
- http://hdl.handle.net/1959.13/1446500
- Identifier
- uon:42888
- Identifier
- ISBN:9783030062224
- Language
- eng
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