### Abstract

We study a parameter of bipartite graphs called readability, introduced by Chikhi et al. (Discrete Applied Mathematics 2016) and motivated by applications of overlap graphs in bioinformatics. The behavior of the parameter is poorly understood. The complexity of computing it is open and it is not known whether the decision version of the problem is in NP. The only known upper bound on the readability of a bipartite graph (Braga and Meidanis, LATIN 2002) is exponential in the maximum degree of the graph. Graphs that arise in bioinformatic applications have low readability. In this paper we focus on graph families with readability o(n), where n is the number of vertices. We show that the readability of n-vertex bipartite chain graphs is between (Formula Presented) and (Formula Presented). We give an efficiently testable characterization of bipartite graphs of readability at most 2 and completely determine the readability of grids, showing in particular that their readability never exceeds 3. As a consequence, we obtain a polynomial-time algorithm to determine the readability of induced subgraphs of grids. One of the highlights of our techniques is the appearance of Euler’s totient function in the proof of the upper bound on the readability of bipartite chain graphs. We also develop a new technique for proving lower bounds on readability, which is applicable to dense graphs with a large number of distinct degrees.

Original language | English (US) |
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Title of host publication | Computing and Combinatorics - 24th International Conference, COCOON 2018, Proceedings |

Editors | Daming Zhu, Lusheng Wang |

Publisher | Springer Verlag |

Pages | 467-479 |

Number of pages | 13 |

ISBN (Print) | 9783319947754 |

DOIs | |

State | Published - Jan 1 2018 |

Event | 24th International Conference on Computing and Combinatorics Conference, COCOON 2018 - Qing Dao, China Duration: Jul 2 2018 → Jul 4 2018 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10976 LNCS |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Other

Other | 24th International Conference on Computing and Combinatorics Conference, COCOON 2018 |
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Country | China |

City | Qing Dao |

Period | 7/2/18 → 7/4/18 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Theoretical Computer Science
- Computer Science(all)

### Cite this

*Computing and Combinatorics - 24th International Conference, COCOON 2018, Proceedings*(pp. 467-479). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10976 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-94776-1_39

}

*Computing and Combinatorics - 24th International Conference, COCOON 2018, Proceedings.*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10976 LNCS, Springer Verlag, pp. 467-479, 24th International Conference on Computing and Combinatorics Conference, COCOON 2018, Qing Dao, China, 7/2/18. https://doi.org/10.1007/978-3-319-94776-1_39

**Bipartite graphs of small readability.** / Chikhi, Rayan; Jovičić, Vladan; Kratsch, Stefan; Medvedev, Paul; Milanič, Martin; Raskhodnikova, Sofya; Varma, Nithin.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Bipartite graphs of small readability

AU - Chikhi, Rayan

AU - Jovičić, Vladan

AU - Kratsch, Stefan

AU - Medvedev, Paul

AU - Milanič, Martin

AU - Raskhodnikova, Sofya

AU - Varma, Nithin

PY - 2018/1/1

Y1 - 2018/1/1

N2 - We study a parameter of bipartite graphs called readability, introduced by Chikhi et al. (Discrete Applied Mathematics 2016) and motivated by applications of overlap graphs in bioinformatics. The behavior of the parameter is poorly understood. The complexity of computing it is open and it is not known whether the decision version of the problem is in NP. The only known upper bound on the readability of a bipartite graph (Braga and Meidanis, LATIN 2002) is exponential in the maximum degree of the graph. Graphs that arise in bioinformatic applications have low readability. In this paper we focus on graph families with readability o(n), where n is the number of vertices. We show that the readability of n-vertex bipartite chain graphs is between (Formula Presented) and (Formula Presented). We give an efficiently testable characterization of bipartite graphs of readability at most 2 and completely determine the readability of grids, showing in particular that their readability never exceeds 3. As a consequence, we obtain a polynomial-time algorithm to determine the readability of induced subgraphs of grids. One of the highlights of our techniques is the appearance of Euler’s totient function in the proof of the upper bound on the readability of bipartite chain graphs. We also develop a new technique for proving lower bounds on readability, which is applicable to dense graphs with a large number of distinct degrees.

AB - We study a parameter of bipartite graphs called readability, introduced by Chikhi et al. (Discrete Applied Mathematics 2016) and motivated by applications of overlap graphs in bioinformatics. The behavior of the parameter is poorly understood. The complexity of computing it is open and it is not known whether the decision version of the problem is in NP. The only known upper bound on the readability of a bipartite graph (Braga and Meidanis, LATIN 2002) is exponential in the maximum degree of the graph. Graphs that arise in bioinformatic applications have low readability. In this paper we focus on graph families with readability o(n), where n is the number of vertices. We show that the readability of n-vertex bipartite chain graphs is between (Formula Presented) and (Formula Presented). We give an efficiently testable characterization of bipartite graphs of readability at most 2 and completely determine the readability of grids, showing in particular that their readability never exceeds 3. As a consequence, we obtain a polynomial-time algorithm to determine the readability of induced subgraphs of grids. One of the highlights of our techniques is the appearance of Euler’s totient function in the proof of the upper bound on the readability of bipartite chain graphs. We also develop a new technique for proving lower bounds on readability, which is applicable to dense graphs with a large number of distinct degrees.

UR - http://www.scopus.com/inward/record.url?scp=85049680844&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049680844&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-94776-1_39

DO - 10.1007/978-3-319-94776-1_39

M3 - Conference contribution

AN - SCOPUS:85049680844

SN - 9783319947754

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 467

EP - 479

BT - Computing and Combinatorics - 24th International Conference, COCOON 2018, Proceedings

A2 - Zhu, Daming

A2 - Wang, Lusheng

PB - Springer Verlag

ER -