711 research outputs found
Improving information centrality of a node in complex networks by adding edges
The problem of increasing the centrality of a network node arises in many
practical applications. In this paper, we study the optimization problem of
maximizing the information centrality of a given node in a network
with nodes and edges, by creating new edges incident to . Since
is the reciprocal of the sum of resistance distance
between and all nodes, we alternatively consider the problem of minimizing
by adding new edges linked to . We show that the
objective function is monotone and supermodular. We provide a simple greedy
algorithm with an approximation factor and
running time. To speed up the computation, we also present an
algorithm to compute -approximate
resistance distance after iteratively adding edges, the
running time of which is for any
, where the notation suppresses the factors. We experimentally demonstrate the effectiveness and
efficiency of our proposed algorithms.Comment: 7 pages, 2 figures, ijcai-201
An investigation on Senior Students’ Behavioral Intention to Use Tencent Meeting for Legal Course in Chengdu, China
Purpose: This research aims to investigate senior students’ behavioral intention to use Tencent meeting for the legal course in Chengdu, China. The key variables are developed from previous literature, including perceived usefulness, attitude, social influence, perceived behavioral control, subjective norm, behavioral intention, and use behavior. Research design, data, and methodology: The target population is 500 fourth-year students at three selected universities who have experience using the Tencent platform for the law course. Probability and nonprobability are used, including judgmental, stratified random, and convenience sampling. Before the data collection, the Item Objective Congruence (IOC) Index and the pilot test (n=30) by Cronbach’s Alpha were assessed to ensure content validity and reliability. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were used as statistical tools to confirm validity, reliability, and hypotheses testing. Results: The results show that all hypotheses are supported. Perceived usefulness significantly impacts attitude. Attitude, social influence, perceived behavioral control, and subjective norm significantly impacts behavioral intention. Furthermore, behavioral intention significantly impacts use behavior. Conclusions: Tencent meeting developers, college administrators, or practitioners should focus on improving students’ Tencent meeting use behavior. The developer of Tencent Meeting and the college’s top management should concentrate on making students’ perceptions of the app’s usefulness, social influence, and attitude
Constacyclic Codes over Finite Fields
An equivalence relation called isometry is introduced to classify
constacyclic codes over a finite field; the polynomial generators of
constacyclic codes of length are characterized, where is the
characteristic of the finite field and is a prime different from
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