5,468 research outputs found
The Algorithmic Complexity of Bondage and Reinforcement Problems in bipartite graphs
Let be a graph. A subset is a dominating set if
every vertex not in is adjacent to a vertex in . The domination number
of , denoted by , is the smallest cardinality of a dominating set
of . The bondage number of a nonempty graph is the smallest number of
edges whose removal from results in a graph with domination number larger
than . The reinforcement number of is the smallest number of
edges whose addition to results in a graph with smaller domination number
than . In 2012, Hu and Xu proved that the decision problems for the
bondage, the total bondage, the reinforcement and the total reinforcement
numbers are all NP-hard in general graphs. In this paper, we improve these
results to bipartite graphs.Comment: 13 pages, 4 figures. arXiv admin note: substantial text overlap with
arXiv:1109.1657; and text overlap with arXiv:1204.4010 by other author
Bondage number of grid graphs
The bondage number of a nonempty graph is the cardinality of a
smallest set of edges whose removal from results in a graph with domination
number greater than the domination number of . Here we study the bondage
number of some grid-like graphs. In this sense, we obtain some bounds or exact
values of the bondage number of some strong product and direct product of two
paths.Comment: 13 pages. Discrete Applied Mathematics, 201
The bondage number of random graphs
A dominating set of a graph is a subset of its vertices such that every
vertex not in is adjacent to at least one member of . The domination
number of a graph is the number of vertices in a smallest dominating set of
. The bondage number of a nonempty graph is the size of a smallest set
of edges whose removal from results in a graph with domination number
greater than the domination number of . In this note, we study the bondage
number of binomial random graph . We obtain a lower bound that matches
the order of the trivial upper bound. As a side product, we give a one-point
concentration result for the domination number of under certain
restrictions
Trafficking of Migrant Workers from Romania: Issues of Labor and Sexual Exploitation
Part of a major research project on the forms of forced labor today developed by the ILO Special Action Programme to Combat Forced Labour (SAP-FL), this paper argues that trafficking for labor exploitation is an emerging issue in Europe and in particular in Romania. Features a detailed comparison of living conditions prior to the emergence of immigration, trafficking, and/or forced labor
Slavery is bad for business: analyzing the impact of slavery on national economies
Public discourse on human trafficking and modern-day slavery is reaching a tipping point -- it is coming to be understood as a global problem with economic and policy implications far beyond simple reports of cross-border human trafficking. A decade ago most educated citizens considered slavery a phenomenon of the past, relegated to history textbooks. Today a strong narrative has reached global proportions: activists, epistemic communities, NGOs, IGOs, and governments are acknowledging the scope and extent of slavery in the twenty-first century. One need only point to Nicholas Kristof and Sheryl Wu Dunn’s bestseller Half the Sky, President Barack Obama’s 2012 speech at the Clinton Global Intiative, or the awareness that celebrities such as Mira Sorvino and Jada Pinkett Smith are raising about the subject to illustrate how far the antislavery movement has progressed.1 Yet despite such civic mindedness, surprisingly little data and empirically driven research exist on slavery today. Although some headway has been made in estimating its prevalence -- most notably in the form of contributions by Kevin Bales and by the International Labor Organization (ILO) -- apart from a rough estimate of how many slaves exist in the world today (21 to 27 million), scholars and policy makers know little about the risk factors -- let alone the business impact -- that contemporary slavery has on the global community.2 Indeed, most extant research, although useful, is qualitative, not allowing for statistical models.3 To what extent is slavery empirically bad for business? For whom is the business of slavery profitable, and for whom is it economically burdensome
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