Skip to main content

On a DAG Partitioning Problem

  • Conference paper
Algorithms and Models for the Web Graph (WAW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7323))

Included in the following conference series:

Abstract

We study the following DAG Partitioning problem: given a directed acyclic graph with arc weights, delete a set of arcs of minimum total weight so that each of the resulting connected components has exactly one sink. We prove that the problem is hard to approximate in a strong sense: If \(\mathcal P\neq \mathcal{NP}\) then for every fixed ε > 0, there is no (n 1 − ε)-approximation algorithm, even if the input graph is restricted to have unit weight arcs, maximum out-degree three, and two sinks. We also present a polynomial time algorithm for solving the DAG Partitioning problem in graphs with bounded pathwidth.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adar, E., Adamic, L.A.: Tracking information epidemics in blogspace. In: Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005, pp. 207–214. IEEE Computer Society, Washington, DC (2005), http://dx.doi.org/10.1109/WI.2005.151

    Chapter  Google Scholar 

  2. Adar, E., Zhang, L., Adamic, L.A., Lukose, R.M.: Implicit Structure and the Dynamics of Blogspace. In: WWW 2004 Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics. ACM Press, New York (2004)

    Google Scholar 

  3. Berger, B., Shor, P.W.: Approximation alogorithms for the maximum acyclic subgraph problem. In: Proceedings of the First Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 1990, pp. 236–243. Society for Industrial and Applied Mathematics, Philadelphia (1990), http://dl.acm.org/citation.cfm?id=320176.320203

    Google Scholar 

  4. Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, ICML 2006, pp. 113–120. ACM, New York (2006), http://doi.acm.org/10.1145/1143844.1143859

    Chapter  Google Scholar 

  5. Courcelle, B.: The monadic second-order logic of graphs. i. recognizable sets of finite graphs. Inf. Comput. 85, 12–75 (1990), http://dl.acm.org/citation.cfm?id=81253.81255

    Article  MathSciNet  MATH  Google Scholar 

  6. Călinescu, G., Karloff, H., Rabani, Y.: An improved approximation algorithm for multiway cut. In: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, STOC 1998, pp. 48–52. ACM, New York (1998), http://doi.acm.org/10.1145/276698.276711

    Chapter  Google Scholar 

  7. Korach, E., Solel, N.: Tree-width, path-width, and cutwidth. Discrete Appl. Math. 43, 97–101 (1993), http://dl.acm.org/citation.cfm?id=153610.153618

    Article  MathSciNet  MATH  Google Scholar 

  8. Kwon, Y.S., Kim, S.W., Park, S., Lim, S.H., Lee, J.B.: The information diffusion model in the blog world. In: Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNA-KDD 2009, pp. 4:1–4:9. ACM, New York (2009), http://doi.acm.org/10.1145/1731011.1731015

  9. Leskovec, J., Backstrom, L., Kleinberg, J.: Meme-tracking and the dynamics of the news cycle. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, pp. 497–506. ACM, New York (2009), http://doi.acm.org/10.1145/1557019.1557077

    Chapter  Google Scholar 

  10. Leskovec, J., McGlohon, M., Faloutsos, C., Glance, N., Hurst, M.: Cascading behavior in large blog graphs: Patterns and a model. In: Society of Applied and Industrial Mathematics: Data Mining, SDM 2007 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alamdari, S., Mehrabian, A. (2012). On a DAG Partitioning Problem. In: Bonato, A., Janssen, J. (eds) Algorithms and Models for the Web Graph. WAW 2012. Lecture Notes in Computer Science, vol 7323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30541-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30541-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30540-5

  • Online ISBN: 978-3-642-30541-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics