Empirical study on sufficient numbers of minimum cuts in strongly connected directed random graphs

Eric Chang; C. K. Cheng; Anushka Gupta; Po‐Ya Hsu; Amanda Moffitt; Alissa Ren; Irene Tsaur; Samuel Wang

doi:10.1002/net.21943

Empirical study on sufficient numbers of minimum cuts in strongly connected directed random graphs

Networks ◽

10.1002/net.21943 ◽

2020 ◽

Vol 76 (1) ◽

pp. 106-121

Author(s):

Eric Chang ◽

C. K. Cheng ◽

Anushka Gupta ◽

Po‐Ya Hsu ◽

Amanda Moffitt ◽

...

Keyword(s):

Empirical Study ◽

Random Graphs ◽

Minimum Cuts ◽

Strongly Connected

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Empirical Study of Phase Transition of Hamiltonian Cycle Problem in Random Graphs with Degrees Greater Than One

Frontiers in Algorithmics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39817-4_19 ◽

2016 ◽

pp. 194-204

Author(s):

Wei Peng ◽

Dongxia Wang ◽

Xinwen Jiang

Keyword(s):

Phase Transition ◽

Empirical Study ◽

Random Graphs ◽

Hamiltonian Cycle ◽

Hamiltonian Cycle Problem

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Job Satisfaction and Attitude of Remaining in Workplace – Most Strongly Correlated Factors in Poland and Italy

Kwartalnik Ekonomistów i Menedżerów ◽

10.5604/01.3001.0009.5783 ◽

2011 ◽

Vol 22 (4) ◽

pp. 0-0

Author(s):

Magdalena Kaczkowska-Serafińska

Keyword(s):

Job Satisfaction ◽

Human Capital ◽

Empirical Study ◽

Statistical Methods ◽

The State ◽

Staff Turnover ◽

Strongly Correlated ◽

Strongly Connected ◽

Correlated Factors

Staff turnover significantly influences companies, as it is largely the state and structure of human capital available to a particular company that testifies the competitiveness of modern economies and individual enterprises . For the owners and executives of the SME sector it is particularly important to have data on the factors that influence their subordinates’ decision to remain in the workplace or leave it . This article presents the results of this author’s empirical study conducted in Poland (The Mazovia Province) and in Italy (region of Lombardy) in 2010–2011 . It comprises a presentation of a model that verifies the influence of job satisfaction on the employee’s decision to remain in the workplace . Through applying statistical methods the factors most strongly connected with job satisfaction and their relation to the attitude of remaining in the workplace were identified . This article shows certain regularities and indicates courses of action for Italian and Polish SME executives .

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