• Title/Summary/Keyword: Bipartite Matrix

Search Result 19, Processing Time 0.022 seconds

ON BIPARTITE TOURNAMENT MATRICES

  • Koh, Youngmee;Ree, Sangwook
    • Korean Journal of Mathematics
    • /
    • v.7 no.1
    • /
    • pp.53-60
    • /
    • 1999
  • We find bounds of eigenvalues of bipartite tournament matrices. We see when bipartite matrices exist and how players and teams of the matrices are evenly ranked. Also, we show that a bipartite tournament matrix can be both regular and normal when and only when it has the same team size.

  • PDF

THE ORDER OF CYCLICITY OF BIPARTITE TOURNAMENTS AND (0, 1) MATRICES

  • Berman, Abraham;Kotzig, Anton
    • Kyungpook Mathematical Journal
    • /
    • v.19 no.1
    • /
    • pp.127-134
    • /
    • 1979
  • A (0,1) matrix is acyclic if it does not have a permutation matrix of order 2 as a submatrix. A bipartite tournament is acyclic if and only if its adjacency matrix is acyclic. The concepts of (maximal) order of cyclicity of a matrix and a bipartite tournament are introduced and studied.

  • PDF

A Role-Performer Bipartite Matrix Generation Algorithm for Human Resource Affiliations (인적 자원 소속성 분석을 위한 역할-수행자 이분 행렬 생성 알고리즘)

  • Kim, Hak-Sung
    • Journal of Digital Contents Society
    • /
    • v.19 no.1
    • /
    • pp.149-155
    • /
    • 2018
  • In this paper we propose an algorithm for generating role-performer bipartite matrix for analyzing BPM-based human resource affiliations. Firstly, the proposed algorithm conducts the extraction of role-performer affiliation relationships from ICN(Infromation Contorl Net) based business process models. Then, the role-performer bipartite matrix is constructed in the final step of the algorithm. Conclusively, the bipartite matrix generated through the proposed algorithm ought to be used as the fundamental data structure for discovering the role-performer affiliation networking knowledge, and by using a variety of social network analysis techniques it enables us to acquire valuable analysis results about BPM-based human resource affiliations.

SPECTRAL PROPERTIES OF BIPARTITE TOURNAMENT MATRICES

  • Koh, Young-Mee;Ree, Sang-Wook
    • Bulletin of the Korean Mathematical Society
    • /
    • v.38 no.1
    • /
    • pp.183-190
    • /
    • 2001
  • In this paper, we look at the spectral bounds of a bipartite tournament matrix M with arbitrary team size. Also we find the condition for the variance of the Perron vector of M to vanish.

  • PDF

THE RIGIDITY OF RECTANGULAR FRAMEWORKS AND THE LAPLACIAN MATRICES

  • KEUNBAE CHOI;HOSOO LEE
    • Journal of Applied and Pure Mathematics
    • /
    • v.5 no.3_4
    • /
    • pp.255-263
    • /
    • 2023
  • In general, the rigidity problem of braced rectangular frameworks is determined by the connectivity of the bipartite graph induced by given rectangular framework. In this paper, we study how to solve the rigidity problem of the braced rectangular framework using the Laplacian matrix of the matrix induced by a braced rectangular framework.

An Activity-Performer Bipartite Matrix Generation Algorithm for Analyzing Workflow-supported Human-Resource Affiliations (워크플로우 기반 인적 자원 소속성 분석을 위한 업무-수행자 이분 행렬 생성 알고리즘)

  • Ahn, Hyun;Kim, Kwanghoon
    • Journal of Internet Computing and Services
    • /
    • v.14 no.2
    • /
    • pp.25-34
    • /
    • 2013
  • In this paper, we propose an activity-performer bipartite matrix generation algorithm for analyzing workflow-supported human-resource affiliations in a workflow model. The workflow-supported human-resource means that all performers of the organization managed by a workflow management system have to be affiliated with a certain set of activities in enacting the corresponding workflow model. We define an activity-performer affiliation network model that is a special type of social networks representing affiliation relationships between a group of performers and a group of activities in workflow models. The algorithm proposed in this paper generates a bipartite matrix from the activity-performer affiliation network model(APANM). Eventually, the generated activity-performer bipartite matrix can be used to analyze social network properties such as, centrality, density, and correlation, and to enable the organization to obtain the workflow-supported human-resource affiliations knowledge.

An Improved Rectangular Decomposition Algorithm for Data Mining (데이터 마이닝을 위한 개선된 직사각형 분해 알고리즘)

  • Song, Ji-Young;Im, Young-Hee;Park, Dai-Hee
    • The KIPS Transactions:PartB
    • /
    • v.10B no.3
    • /
    • pp.265-272
    • /
    • 2003
  • In this paper, we propose a novel improved algorithm for the rectangular decomposition technique for the purpose of performing data mining from large scaled database in a dynamic environment. The proposed algorithm performs the rectangular decompositions by transforming a binary matrix to bipartite graph and finding bicliques from the transformed bipartite graph. To demonstrate its effectiveness, we compare the proposed one which is based on the newly derived mathematical properties with those of other methods with respect to the classification rate, the number of rules, and complexity analysis.

ON KRAMER-MESNER MATRIX PARTITIONING CONJECTURE

  • Rho, Yoo-Mi
    • Journal of the Korean Mathematical Society
    • /
    • v.42 no.4
    • /
    • pp.871-881
    • /
    • 2005
  • In 1977, Ganter and Teirlinck proved that any $2t\;\times\;2t$ matrix with 2t nonzero elements can be partitioned into four sub-matrices of order t of which at most two contain nonzero elements. In 1978, Kramer and Mesner conjectured that any $mt{\times}nt$ matrix with kt nonzero elements can be partitioned into mn submatrices of order t of which at most k contain nonzero elements. In 1995, Brualdi et al. showed that this conjecture is true if $m = 2,\;k\;\leq\;3\;or\;k\geq\;mn-2$. They also found a counterexample of this conjecture when m = 4, n = 4, k = 6 and t = 2. When t = 2, we show that this conjecture is true if $k{\leq}5$.

Generalization of Tanner′s Minimum Distance Bounds for LDPC Codes (LDPC 부호 적용을 위한 Tanner의 최소 거리 바운드의 일반화)

  • Shin Min Ho;Kim Joon Sung;Song Hong Yeop
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.29 no.10C
    • /
    • pp.1363-1369
    • /
    • 2004
  • LDPC(Low Density Parity Check) codes are described by bipartite graphs with bit nodes and parity-check nodes. Tanner derived minimum distance bounds of the regular LDPC code in terms of the eigenvalues of the associated adjacency matrix. In this paper we generalize the Tanner's results. We derive minimum distance bounds applicable to both regular and blockwise-irregular LDPC codes. The first bound considers the relation between bit nodes in a minimum-weight codeword, and the second one considers the connectivity between parity nodes adjacent to a minimum-weight codeword. The derived bounds make it possible to describe the distance property of the code in terms of the eigenvalues of the associated matrix.