Given a graph G, its triangular line graph is the graph T (G) with vertex set consisting of the edges of G and adjacencies between edges that are incident in G as well as being within a common triangle. Graphs with a representation as the triangular line graph of some graph G are triangular line graphs, which have been studied under many names including anti-Gallai graphs, 2-in-3 graphs, and link graphs. While closely related to line graphs, triangular line graphs have been difficult to understand and characterize. Van Bang Le asked if recognizing triangular line graphs has an efficient algorithm or is computationally complex. We answer this question by proving that the complexity of recognizing triangular line graphs is NP-complete via a reduction from 3-SAT. *

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Due to the increasing discovery and implementation of networks within all disciplines of life, the study of subgraph connectivity has become increasingly important. Motivated by the idea of community (or sub-graph) detection within a network/graph, we focused on finding characterizations of k-dense communities. For each edge uv ∈ E(G), the edge multiplicity of uv in G is given byFor an integer k with k ≥ 2, a k-dense community of a graph G, denoted by DC k (G), is a maximal connected subgraph of G induced by the vertex setIn this research, we characterize which graphs are k-dense but not (k + 1)-dense for some values of k and study the minimum and maximum number of edges such graphs can have. A better understanding of k-dense sub-graphs (or communities) helps in the study of the connectivity of large complex graphs (or networks) in the real world.

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