Complexity of Word Collocation Networks: A Preliminary Structural Analysis
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Abstract (arXiv)
In this paper, we explore complex network properties of word collocation networks (Ferret, 2002) from four different genres. Each document of a particular genre was converted into a network of words with word collocations as edges. We analyzed graphically and statistically how the global properties of these networks varied across different genres, and among different network types within the same genre. Our results indicate that the distributions of network properties are visually similar but statistically apart across different genres, and interesting variations emerge when we consider different network types within a single genre. We further investigate how the global properties change as we add more and more collocation edges to the graph of one particular genre, and observe that except for the number of vertices and the size of the largest connected component, network properties change in phases, via jumps and drops.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Oct 2013.
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Citing papers per year: 2020: 1; 2021: 8; 2022: 0; 2023: 3; 2024: 2; 2025: 0; 2026: 3.
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12 most cited of 14 All 14 (JSON)
- 2026GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment19 May 2026
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- 2023Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model27 Mar 2023
- 2021BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning8 Nov 2021
- 2021PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation31 Oct 2021
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12 newest of 14 All 14 (JSON)