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Connectivity in evolving graph with geometric properties

Published: 01 October 2004 Publication History

Abstract

The evolving graph model was developed to capture the information on the topology of dynamic networks in a compact and efficient manner [5]. It is known that to find the size of the maximum strongly connected component in evolving graphs is NP-hard [1]. In this paper we study the strongly connected component in evolving graphs with geometric properties. We show that SCC is still NP-hard in the case the nodes are placed on a grid and two points are connected if the Euclidean distance is equal or less than 2. On the other hand we show that if the underlying graph is tree this problem can be solved in polynomial time.

References

[1]
S. Bhadra and A. Ferreira. Complexity of connected components in evolving graphs and the computation of multicast trees in dynamic networks. In S. Pierre, M. Barbeau, and E. Kranakis, editors, Proceedings of Adhoc-Now'03, volume 2865 of Lecture Notes in Computer Science, pages 259--270, Montreal, October 2003. Springer Verlag.
[2]
A. Borodin and R. El-Yaniv. Online computation and competitive analysis. Cambridge University Press, 1998.
[3]
A. Faragò and V.R. Syrotiuk. A unified framework for routing protocol. Proceedings ACM Mobicom 01, pages 53--60, 2001.
[4]
A. Ferreira and A. Jarry. Complexity of minimum spanning tree in evolving graphs and the minimum-energy broadcast routing problem. In Proceedings of WiOpt'04: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, University of Cambridge, UK, March 2004.
[5]
Afonso Ferreira. Building a reference combinatorial model for dynamic networks: Initial results on evolving graphs. Technical Report RR-5041, INRIA, 2003.
[6]
B. Bui Xuan, A. Ferreira, and A. Jarry. Computing shortest, fastest and foremost journeys in wireless dynamic networks. WiOpt'03, 2003.

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  • (2024)On Computing Large Temporal (Unilateral) Connected ComponentsJournal of Computer and System Sciences10.1016/j.jcss.2024.103548(103548)Online publication date: May-2024
  • (2022)A study of connectivity on dynamic graphs: computing persistent connected components4OR10.1007/s10288-022-00507-321:2(205-233)Online publication date: 19-Apr-2022
  • (2021)The Influence of Self-organizing Teams on the Structure of the Social GraphTools and Methods of Program Analysis10.1007/978-3-030-71472-7_11(130-141)Online publication date: 17-Mar-2021
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    cover image ACM Conferences
    DIALM-POMC '04: Proceedings of the 2004 joint workshop on Foundations of mobile computing
    October 2004
    118 pages
    ISBN:1581139217
    DOI:10.1145/1022630
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 October 2004

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    Author Tags

    1. connectivity
    2. disc graphs
    3. dynamic networks
    4. evolving graphs
    5. trees

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    Cited By

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    • (2024)On Computing Large Temporal (Unilateral) Connected ComponentsJournal of Computer and System Sciences10.1016/j.jcss.2024.103548(103548)Online publication date: May-2024
    • (2022)A study of connectivity on dynamic graphs: computing persistent connected components4OR10.1007/s10288-022-00507-321:2(205-233)Online publication date: 19-Apr-2022
    • (2021)The Influence of Self-organizing Teams on the Structure of the Social GraphTools and Methods of Program Analysis10.1007/978-3-030-71472-7_11(130-141)Online publication date: 17-Mar-2021
    • (2017)Cover time and mixing time of random walks on dynamic graphsRandom Structures & Algorithms10.1002/rsa.2075252:4(576-596)Online publication date: 26-Dec-2017
    • (2016)Information Spreading in Dynamic Networks Under Oblivious AdversariesDistributed Computing10.1007/978-3-662-53426-7_29(399-413)Online publication date: 4-Sep-2016
    • (2014)Mining most frequently changing component in evolving graphsWorld Wide Web10.1007/s11280-013-0204-x17:3(351-376)Online publication date: 1-May-2014
    • (2012)Broadcast analysis in dense duty-cycle sensor networksProceedings of the 6th International Conference on Ubiquitous Information Management and Communication10.1145/2184751.2184771(1-8)Online publication date: 20-Feb-2012
    • (2011)Capturing the Evolving Properties of Disconnected Mobile P2P NetworksProceedings of the 2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering10.1109/MUE.2011.15(22-27)Online publication date: 28-Jun-2011
    • (2009)Relocation Analysis of Stabilizing MAC Algorithms for Large-Scale Mobile Ad Hoc NetworksAlgorithmic Aspects of Wireless Sensor Networks10.1007/978-3-642-05434-1_21(203-217)Online publication date: 2-Dec-2009
    • (2009)Routing on Delay Tolerant Sensor NetworksAlgorithmic Aspects of Wireless Sensor Networks10.1007/978-3-642-05434-1_17(155-166)Online publication date: 2-Dec-2009
    • Show More Cited By

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