Kronecker Graphs

  • Krishna Raj P. M.Email author
  • Ankith Mohan
  • K. G. Srinivasa
Part of the Computer Communications and Networks book series (CCN)


The graphs models we have discussed upto this point cater to specific network properties. In this chapter, we will discuss Kronecker graphs which are capable of generating a wide-array of properties. Kronecker graphs are generated by successively multiplying an initiator graph. This chapter looks at the properties of these Kronecker graphs. The chapter will look at stochastic Kronecker graphs (SKG), which eliminates features such as the “staircase effect”. Several techniques used to generate these SKGs will also be covered. However, SKGs are unable to generate the required power-law or lognormal distribution. To enable this, noisy stochastic Kronecker graphs (NSKG) will be discussed. We will then look at distance-dependent Kronecker graphs that enable searchability and several algorithms that can generate these Kronecker graphs.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Krishna Raj P. M.
    • 1
    Email author
  • Ankith Mohan
    • 1
  • K. G. Srinivasa
    • 2
  1. 1.Department of ISERamaiah Institute of TechnologyBangaloreIndia
  2. 2.Department of Information TechnologyC.B.P. Government Engineering CollegeJaffarpurIndia

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