External resources

  • Benedek Rozemberczki and Rik Sarkar: Fast Sequence-Based Embedding with Diffusion Graphs Paper

  • Lada A. Adamic, Rajan M. Lukose, Amit R. Puniyani, Bernardo A. Huberman: Search in Power-Law Networks Paper

  • Michael P. H. Stumpf, Carsten Wiuf, and Robert M. May: SubNets of Scale-Free Networks Are Not Scale-Free: Sampling Properties of Networks Paper

  • Jure Leskovec, Christos Faloutsos: Sampling From Large Graphs Paper

  • Vaishnavi Krishnamurthy, Michalis Faloutsos, Marek Chrobak, Li Lao, Jun-Hong Cui, Allon G. Percus: Reducing Large Internet Topologies for Faster Simulations Paper

  • Nesreen K. Ahmed, Jennifer L. Neville: Network Sampling: From Static to Streaming Graphs Paper

  • Jure Leskovec, Jon Kleinberg, Christos Faloutsos: Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations Paper

  • Christian Hübler, Hans-Peter Kriegel, Karsten Borgwardt, Zoubin Ghahramani: Metropolis Algorithms for Representative Subgraph Sampling Paper

  • Minas Gjoka, Maciej Kurant, Carter T. Butts, Athina Markopoulou: Walking in Facebook: A Case Study of Unbiased Sampling of OSNs Paper

  • Bruno Ribeiro, Don Towsley: Estimating and Sampling Graphs with Multidimensional Random Walks Paper

  • Arun Maiya, Tanya-Berger Wolf: Sampling Community Structure Paper

  • Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin: On Random Walk Based Graph Sampling Paper

  • Zhuojie Zhou, Nan Zhang, Gautam Das: Leveraging History for Faster Sampling of Online Social Networks Paper

  • Alireza Rezvanian, Mohammad Reza Meybodi: Sampling Social Networks Using Shortest Paths Paper

  • Yongkun Li, Zhiyong Wu, Shuai Lin, Hong Xie, Min Lv, Yinlong Xu, John C.S. Lui: Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness Paper

  • Chul-Ho Lee, Xin Xu, Do Young Eun: Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling Paper

  • David Bruce Wilson: Generating Random Spanning Trees More Quickly Than the Cover Time Paper

  • Christian Doerr, Norbert Blenn: Metric Convergence in Social Network Sampling Paper

  • Leo Goodman: Snowball Sampling Paper

  • Benjamin Ricaud, Nicolas Aspert, Volodymyr Miz: Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion Paper