• Thumbnail for Citation graph
    A citation graph (or citation network), in information science and bibliometrics, is a directed graph that describes the citations within a collection...
    16 KB (2,000 words) - 04:51, 10 October 2023
  • Thumbnail for Directed acyclic graph
    In mathematics, particularly graph theory, and computer science, a directed acyclic graph (DAG) is a directed graph with no directed cycles. That is, it...
    45 KB (5,628 words) - 07:48, 20 May 2024
  • Thumbnail for Citation
    metascience. Citation analysis is the examination of the frequency, patterns, and graphs of citations in documents. It uses the directed graph of citations — links...
    40 KB (6,485 words) - 05:39, 3 May 2024
  • Thumbnail for Graph theory
    mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context...
    52 KB (6,395 words) - 20:16, 27 March 2024
  • analysis of the citation graph. Clique Coercive citation Kojaku, Sadamori; Livan, Giacomo; Masuda, Naoki (2021-07-15). "Detecting anomalous citation groups in...
    2 KB (194 words) - 00:27, 11 May 2024
  • Citation analysis is the examination of the frequency, patterns, and graphs of citations in documents. It uses the directed graph of citations — links...
    24 KB (3,679 words) - 20:58, 16 January 2024
  • A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key...
    51 KB (4,646 words) - 15:11, 9 June 2024
  • Main path analysis, a method that traces the significant citation chains in a citation graph, can be used to trace the opinion changes over the years...
    9 KB (1,081 words) - 16:15, 29 May 2024
  • Thumbnail for Graph (abstract data type)
    science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within...
    15 KB (1,750 words) - 21:26, 28 May 2024
  • A graph neural network (GNN) belongs to a class of artificial neural networks for processing data that can be represented as graphs. In the more general...
    35 KB (3,972 words) - 17:58, 11 June 2024