k-Wiener index of a k-plex

Journal of Combinatorial Optimization - A k-plex is a hypergraph with the property that each subset of a hyperedge is also a hyperedge and each hyperedge contains at most $$k+1$$ vertices. We...     

机遇发现的超图建模及应用

应用超图理论,分析了机遇发现过程中的实体并提出了映射的超图模型;提出了基于超图模型的机遇发现过程原子操作以及认知算法,并以我国商业银行转型为例给出了模型的应用, 最后给出了模型的改进方向.     

Algebraic connectivity of an even uniform hypergraph

We generalize Laplacian matrices for graphs to Laplacian tensors for even uniform hypergraphs and set some foundations for the spectral hypergraph theory based upon Laplacian tensors. Especially, algebraic connectivity of an even uniform hypergraph based on Z-eigenvalues of the corresponding Laplacian tensor is introduced and its connections with edge connectivity and vertex connectivity are discussed.     

基于情境偏好知识超图的移动用户细分研究

构建了一个通用的用户细分模型,定义了用户情境偏好的概念和度量方式,采用情境偏好知识超图描述了用户间基于情境偏好相似性的多元弱关联,并基于超图分割实现用户细分,避免了一般聚类操作中用户间弱关联的丢失。应用该模型进一步构建了移动服务策略矩阵。最后通过实证验证了模型在用户细分和服务策略分析、制定上的适用性。     

Colorability of mixed hypergraphs and their chromatic inversions

We solve a long-standing open problem concerning a discrete mathematical model, which has various applications in computer science and several other fields, including frequency assignment and many other problems on resource allocation. A mixed hypergraph $\mathcal H $ is a triple $(X,\mathcal C ,\mathcal D )$ , where $X$ is the set of vertices, and $\mathcal C $ and $\mathcal D $ are two set systems over $X$ , the families of so-called C-edges and D-edges, respectively. A vertex coloring of a mixed hypergraph $\mathcal H $ is proper if every C-edge has two vertices with a common color and every D-edge has two vertices with different colors. A mixed hypergraph is colorable if it has at least one proper coloring; otherwise it is uncolorable. The chromatic inversion of a mixed hypergraph $\mathcal H =(X,\mathcal C ,\mathcal D )$ is defined as $\mathcal H ^c=(X,\mathcal D ,\mathcal C )$ . Since 1995, it was an open problem wether there is a correlation between the colorability properties of a hypergraph and its chromatic inversion. In this paper we answer this question in the negative, proving that there exists no polynomial-time algorithm (provided that $P \ne NP$ ) to decide whether both $\mathcal H $ and $\mathcal H ^c$ are colorable, or both are uncolorable. This theorem holds already for the restricted class of 3-uniform mixed hypergraphs (i.e., where every edge has exactly three vertices). The proof is based on a new polynomial-time algorithm for coloring a special subclass of 3-uniform mixed hypergraphs. Implementation in C++ programming language has been tested. Further related decision problems are investigated, too.     

A polynomial time approximation scheme for?embedding a directed hypergraph on a weighted ring

Given a directed hypergraph H=(V,E _H ), we consider the problem of embedding all directed hyperedges on a weighted ring. The objective is to minimize the maximum congestion which is equal to the maximum product of the weight of a link and the number of times that the link is passed by the embedding. In this paper, we design a polynomial time approximation scheme for this problem.     

Resource-sharing systems and hypergraph colorings

A resource-sharing system is modeled by a hypergraph H in which a vertex represents a process and an edge represents a resource consisting of all vertices (processes) that have access to it. A schedule of H=(V,E) is a mapping f:?→2 ^V , where f(i) is an independent set of H which consists of processes that operate at round i. The rate of f is defined as \({\rm rate}(f)=\limsup_{n\to\infty}\sum_{i=1}^{n}|f(i)|/(n|V|)\), which is the average fraction of operating processes at each round. The purpose of this paper is to study optimal rates for various classes of schedules under different fairness conditions. In particular, we give relations between these optimal rates and fractional/circular chromatic numbers. For the special case of the hypergraph is a connected graph, a new derivation for the previous result by Yeh and Zhu is also given.     

Subhypergraph counts in extremal and random hypergraphs and the fractional <Emphasis Type="Italic">q</Emphasis>-independence

We study the extremal parameter N(n,m,H) which is the largest number of copies of a hypergraph H that can be formed of at most n vertices and m edges. Generalizing previous work of Alon (Isr. J. Math. 38:116–130, 1981), Friedgut and Kahn (Isr. J. Math. 105:251–256, 1998) and Janson, Oleszkiewicz and the third author (Isr. J. Math. 142:61–92, 2004), we obtain an asymptotic formula for N(n,m,H) which is strongly related to the solution α _q (H) of a linear programming problem, called here the fractional q-independence number of H. We observe that α _q (H) is a piecewise linear function of q and determine it explicitly for some ranges of q and some classes of H. As an application, we derive exponential bounds on the upper tail of the distribution of the number of copies of H in a random hypergraph.     

Multiple hypernode hitting sets and smallest two-cores with targets

The multiple weighted hitting set problem is to find a subset of nodes in a hypergraph that hits every hyperedge in at least m nodes. We extend the problem to a notion of hypergraphs with so-called hypernodes and show that, for m=2, it remains fixed-parameter tractable (FPT), parameterized by the number of hyperedges. This is accomplished by a nontrivial extension of the dynamic programming algorithm for hypergraphs. The algorithm might be interesting for certain assignment problems, but here we need it as a tool to solve another problem motivated by network analysis: A d-core of a graph is a subgraph in which every vertex has at least d neighbors. We give an FPT algorithm that computes a smallest 2-core including a given set of target vertices, where the number of targets is the parameter. This FPT result is best possible in the sense that no FPT algorithm for 3-cores can be expected.     

Some Motzkin–Straus type results for non-uniform hypergraphs

A remarkable connection between the order of a maximum clique and the Lagrangian of a graph was established by Motzkin and Straus in 1965. This connection and its extensions were applied in Turán problems of graphs and uniform hypergraphs. Very recently, the study of Turán densities of non-uniform hypergraphs has been motivated by extremal poset problems. Peng et al. showed a generalization of Motzkin–Straus result for \(\{1,2\}\)-graphs. In this paper, we attempt to explore the relationship between the Lagrangian of a non-uniform hypergraph and the order of its maximum cliques. We give a Motzkin–Straus type result for \(\{1,r\}\)-graphs. Moreover, we also give an extension of Motzkin–Straus theorem for \(\{1, r_2, \cdots , r_l\}\)-graphs.     

An improved approximation algorithm for the shortest link scheduling in wireless networks under SINR and hypergraph models

Link scheduling is a fundamental problem in wireless ad hoc and sensor networks. In this paper, we focus on the shortest link scheduling (SLS) under Signal-to-Interference-plus-Noise-Ratio and hypergraph models, and propose an approximation algorithm \(SLS_{pc}\) (A link scheduling algorithm with oblivious power assignment for the shortest link scheduling) with oblivious power assignment for better performance than GOW* proposed by Blough et al. [IEEE/ACM Trans Netw 18(6):1701–1712, 2010]. For the average scheduling length of \(SLS_{pc}\) is 1 / m of GOW*, where \(m=\lfloor \varDelta _{max}\cdot p \rfloor \) is the expected number of the links in the set V returned by the algorithm HyperMaxLS (Maximal links schedule under hypergraph model) and \(0<p<1\) is the constant. In the worst, ideal and average cases, the ratios of time complexity of our algorithm \(SLS_{pc}\) to that of GOW* are \(O(\varDelta _{max}/\overline{k})\), \(O(1/(\overline{k}\cdot \varDelta _{max}))\) and \(O(\varDelta _{max}/(\overline{k}\cdot m))\), respectively. Where \(\overline{k}\) (\(1<\overline{k}<\varDelta _{max}\)) is a constant called the SNR diversity of an instance G.     

Simple Approximation Algorithms for MAXNAESP and Hypergraph 2-colorability

Hypergraph 2-colorability, also known as set splitting, is a widely studied problem in graph theory. In this paper we study the maximization version of the same. We recast the problem as a special type of satisfiability problem and give approximation algorithms for it. Our results are valid for hypergraph 2-colorability, set splitting and MAX-CUT (which is a special case of hypergraph 2-colorability) because the reductions are approximation preserving. Here we study the MAXNAESP problem, the optimal solution to which is a truth assignment of the literals that maximizes the number of clauses satisfied. As a main result of the paper, we show that any locally optimal solution (a solution is locally optimal if its value cannot be increased by complementing assignments to literals and pairs of literals) is guaranteed a performance ratio of . This is an improvement over the ratio of attributed to another local improvement heuristic for MAX-CUT (C. Papadimitriou, Computational Complexity, Addison Wesley, 1994). In fact we provide a bound of for this problem, where k 3 is the minimum number of literals in a clause. Such locally optimal algorithms appear to subsume typical greedy algorithms that have been suggested for problems in the general domain of satisfiability. It should be noted that the NAESP problem where each clause has exactly two literals, is equivalent to MAX-CUT. However, obtaining good approximation ratios using semi-definite programming techniques (M. Goemans and D.P. Williamson, in Proceedings of the 26th Annual ACM Symposium on Theory of Computing, 1994a, pp. 422–431) appears difficult. Also, the randomized rounding algorithm as well as the simple randomized algorithm both (M. Goemans and D.P. Williamson, SIAM J. Disc. Math, vol. 7, pp. 656–666, 1994b) yield a bound of for the MAXNAESP problem. In contrast to this, the algorithm proposed in this paper obtains a bound of for this problem.     

Partitioning dense uniform hypergraphs

Let \(r\ge 3\) and \(k\ge 2\) be fixed integers, and let H be an r-uniform hypergraph with n vertices and m edges. In 1997, Bollobás and Scott conjectured that H has a vertex-partition into k sets with at most \(m/k^r+o(m)\) edges in each set. So far, this conjecture was confirmed when \(r=3\) or \(m=\Omega (n^{r-1+o(1)})\). In this paper, we show that it holds for \(m=\Omega (n^{r-3+\epsilon })\) for any \(\epsilon >0\).     

The extremal spectral radii of $$$$-uniform supertrees

In this paper, we study some extremal problems of three kinds of spectral radii of \(k\)-uniform hypergraphs (the adjacency spectral radius, the signless Laplacian spectral radius and the incidence \(Q\)-spectral radius). We call a connected and acyclic \(k\)-uniform hypergraph a supertree. We introduce the operation of “moving edges” for hypergraphs, together with the two special cases of this operation: the edge-releasing operation and the total grafting operation. By studying the perturbation of these kinds of spectral radii of hypergraphs under these operations, we prove that for all these three kinds of spectral radii, the hyperstar \(\mathcal {S}_{n,k}\) attains uniquely the maximum spectral radius among all \(k\)-uniform supertrees on \(n\) vertices. We also determine the unique \(k\)-uniform supertree on \(n\) vertices with the second largest spectral radius (for these three kinds of spectral radii). We also prove that for all these three kinds of spectral radii, the loose path \(\mathcal {P}_{n,k}\) attains uniquely the minimum spectral radius among all \(k\)-th power hypertrees of \(n\) vertices. Some bounds on the incidence \(Q\)-spectral radius are given. The relation between the incidence \(Q\)-spectral radius and the spectral radius of the matrix product of the incidence matrix and its transpose is discussed.     

Two extremal problems related to orders

We consider two extremal problems related to total orders on all subsets of \({\mathbb N}\). The first one is to maximize the Lagrangian of hypergraphs among all hypergraphs with m edges for a given positive integer m. In 1980’s, Frankl and Füredi conjectured that for a given positive integer m, the r-uniform hypergraph with m edges formed by taking the first m r-subsets of \({\mathbb N}\) in the colex order has the largest Lagrangian among all r-uniform hypergraphs with m edges. We provide some partial results for 4-uniform hypergraphs to this conjecture. The second one is for a given positive integer m, how to minimize the cardinality of the union closure families generated by edge sets of the r-uniform hypergraphs with m edges. Leck, Roberts and Simpson conjectured that the union closure family generated by the first m r-subsets of \({\mathbb N}\) in order U has the minimum cardinality among all the union closure families generated by edge sets of the r-uniform hypergraphs with m edges. They showed that the conjecture is true for graphs. We show that a similar result holds for non-uniform hypergraphs whose edges contain 1 or 2 vertices.     

Constant factor approximation for the weighted partial degree bounded edge packing problem

In the partial degree bounded edge packing problem (PDBEP), the input is an undirected graph \(G=(V,E)\) with capacity \(c_v\in {\mathbb {N}}\) on each vertex v. The objective is to find a feasible subgraph \(G'=(V,E')\) maximizing \(|E'|\), where \(G'\) is said to be feasible if for each \(e=\{u,v\}\in E'\), \(\deg _{G'}(u)\le c_u\) or \(\deg _{G'}(v)\le c_v\). In the weighted version of the problem, additionally each edge \(e\in E\) has a weight w(e) and we want to find a feasible subgraph \(G'=(V,E')\) maximizing \(\sum _{e\in E'} w(e)\). The problem is already NP-hard if \(c_v = 1\) for all \(v\in V\) (Zhang in: Proceedings of the joint international conference on frontiers in algorithmics and algorithmic aspects in information and management, FAW-AAIM 2012, Beijing, China, May 14–16, pp 359–367, 2012). In this paper, we introduce a generalization of the PDBEP problem. We let the edges have weights as well as demands, and we present the first constant-factor approximation algorithms for this problem. Our results imply the first constant-factor approximation algorithm for the weighted PDBEP problem, improving the result of Aurora et al. (FAW-AAIM 2013) who presented an \(O(\log n)\)-approximation for the weighted case. We also study the weighted PDBEP problem on hypergraphs and present a constant factor approximation if the maximum degree of the hypergraph is bounded above by a constant. We study a generalization of the weighted PDBEP problem with demands where each edge additionally specifies whether it requires at least one, or both its end-points to not exceed the capacity. The objective is to pick a maximum weight subset of edges. We give a constant factor approximation for this problem. We also present a PTAS for the weighted PDBEP problem with demands on H-minor free graphs, if the demands on the edges are bounded by polynomial. We show that the PDBEP problem is APX-hard even for bipartite graphs with \(c_v = 1, \; \forall v\in V\) and having degree at most 3.     

Estimation When a Parameter is on a Boundary

This paper establishes the asymptotic distribution of an extremum estimator when the true parameter lies on the boundary of the parameter space. The boundary may be linear, curved, and/or kinked. Typically the asymptotic distribution is a function of a multivariate normal distribution in models without stochastic trends and a function of a multivariate Brownian motion in models with stochastic trends. The results apply to a wide variety of estimators and models. Examples treated in the paper are: (i) quasi-ML estimation of a random coefficients regression model with some coefficient variances equal to zero and (ii) LS estimation of an augmented Dickey-Fuller regression with unit root and time trend parameters on the boundary of the parameter space.     

Toward a Framework for Achieving a Sustainable Globalization

Widespread trade liberalization and economic integration characterize the current era of globalization. While this approach has resulted in significant job creation, improved living standards, and a wider variety of cheaper consumer goods and services, opponents question if globalization's benefits outweigh the dislocations and downsides that it causes. Protestors are intent on stalling or rolling back globalization's progression and our review of the history of globalization reveals that a backlash is not without precedent. The article carefully examines the myth and reality of these two opposing positions on four key areas of the globalization debate: jobs; inequality and poverty; national sovereignty and cultural diversity; and the natural environment. This information is then utilized to derive a broad set of feasible policy recommendations that could help bring about a more sustainable form of globalization.     

Choosing a diversification project in a regulated economy

Choosing a diversification project in a regulated economy involves consideration of a large number of micro and macro issues. In order to make an optimal choice of strategy, a formal approach to diversification planning is necessary. This article develops an approach which aims at breaking up the problem of identification and selection of projects into manageable components. The approach involves three steps: identification of broad industry groups: identification of specific projects within each broad industry group; and comprehensive feasibility study. The major benefit of this approach lies in providing a systematic mechanism for reducing the number of alternatives and in recognizing the link between the internal management processes of strategy formulation with the political and administrative processes in government and regulatory bodies. The article is based largely on the Indian experience.