Mathematical Models in the Social Sciences

TL;DR: The analysis is extended to consider several important factors which have previously been neglected--a more generalized approach to the job search process, the possibility of underemployment in the so-called urban "murky sector," preferential treatment by employers of the better educated, and consideration of labor turnover--and demonstrate that the resulting framework gives predictions closer to actual experience.

TL;DR: In this article, a simple and intuitively appealing eigenvector based method was proposed to intrinsically determine the weightages for group members using their own subjective opinions, which is the most commonly used method for combining individual opinions to form a group opinion.

TL;DR: A ‘decision science’ can only be rooted in the path of realism, which implies accepting postulates and hypotheses which have proved unusable in the practice of OR-DA, and how by shifting the object of the quest for knowledge it nonetheless appears possible to speak in terms of a decision-aid science.

TL;DR: A mathematical framework is described that allows us to calculate centrality in multilayer networks and rank nodes accordingly, finding the ones that play the most central roles in the cohesion of the whole structure, bridging together different types of relations.

TL;DR: An interactive procedure for solving a multiple attribute group decision making (MAGDM) problem with incomplete information, and theoretic models for establishing group's pairwise dominance relations with group's utility range by using a separable linear programming technique.

TL;DR: A list of all publications over the period 1956-2005, as reported in the Rotterdam Econometric Institute Reprint series during 1957-2005 can be found in this article.

TL;DR: In the first two decades of the Cold War, a new kind of academic figure became prominent in American public life: the credentialed social scientist or expert in the sciences of administration who was also, to use the parlance of the time, a man of affairs as discussed by the authors.

TL;DR: A novel distance named Unequal Singleton Pair (USP) distance is proposed, able to discriminate specific singletons from others when measuring the dissimilarity, and shows that USP distance effectively improves the quality of decision results.