We review some static and temporal 'laws', and we describe the “Kronecker” graph generator, which naturally matches all of the known properties of real graphs.
How do graphs look like? How do they evolve over time? How can we generate realistic-looking graphs? We review some static and temporal 'laws', ...
In this paper, we describe research and application of relational graph mining in IRS investigations. One key scenario in this domain is the iterative ...
Open source system for mining huge graphs: PEGASUS project (PEta GrAph mining. System). • www.cs.cmu.edu/~pegasus. • code and papers. WIN'11. Page 4. CMU SCS. C ...
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– Generator and Analysis: We propose a local, efficient propagation mechanism that simulates an influence graph on top of existing social network datasets ( ...
The objective of this work is to rank interest-based communities using influence propagation. The contribution of this work is threefold.
All the matrices reflect a community structure that is inferred by both he action log and the graph: blocks are clearly visible in both the adjacency and the ...
In this work, we explore how influence propagation and the decay in the cascading effect of influence from influential users can be leveraged to generate social ...
Compressing graphs without losing information. ▫ Finding complex structures fast. ▫ Recognizing communities and social patterns. ▫ Study the propagation of ...
Will the enthusiasm drop exponentially with time, or oscillate? What other patterns emerge? Here we answer these questions using data from the Polly telephone- ...