Applications of Combinatorics and Graph Theory to the Biological and Social Sciences

Contents: Applications of Combinatorics and Graph Theory to the Biological and Social Sciences: Seven Fundamental Ideas; Social Welfare and Aggregation Procedures: Combinatorial and Algorithmic Aspects; Consecutive One's Properties for Matrices and Graphs Including Variable Diagonal Entries; Probabilistic Knowledge Spaces: A Review; Uniqueness in Finite Measurement; Conceptual Scaling; The Micro-Macro Connection: Exact Structure and Process; Sign-Patterns and Stability; Food Webs, Competition Graphs, Competition-Common Enemy Graphs and Niche Graphs; Qualitatively Stable Matrices and Convergent Matrices; Tree Structures in Immunology; Meaningless Statements, Matching Experiments, and Colored Digraphs; Combinatorial Aspects of Enzyme Kinetics; Spatial Modes of Power and Voting Outcomes; Some Mathematics for DNA Restriction Mapping.