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Proposal of Chance Index in Co‐occurrence Network

Electronics and Communications in Japan, 2015
SUMMARYThis paper proposes chance index that estimates whether a node is chance in a co‐occurrence network. Recently, chance discovery researches are attractive for several domains. By using chance discovery, we can develop new business or predict earthquake. However, there is a problem that chance discovery requires analysts’ inference from visualized
Yukihiro Takayama, Ryosuke Saga
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Material Culture Similarity and Co-occurrence Networks

2023
Abstract This chapter discusses critical considerations for the construction, analysis, and interpretation of material culture similarity and co-occurrence networks, particularly considering archaeological data and how such networks can be used to interpret past relational processes. Drawing on four different anthropological case studies,
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Analyzing Co-occurrence Networks of Emojis on Twitter

2021
Emojis have become an integral part of digital communication in recent years. They promote the expression of emotions and ideas through visual icons of people, animals, and symbols. Twitter provides a platform for discussion and commentary in real time with a diverse and global audience, making it a good candidate for studying the usage of emoji across
Hasan Alsaif, Phil Roesch, Salem Othman
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Co-occurrence network analysis of modern Chinese poems

Physica A: Statistical Mechanics and its Applications, 2015
Abstract A total of 606 co-occurrence networks of Chinese characters and words are constructed from rhymes, free verses, and prose poems. It is found that 98.5 % of networks have scale-free properties, while 19.8 % of networks do not have small-world features, especially the clustering coefficients in 5.6 % of networks are zero ...
Wei Liang   +3 more
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Associative face co-occurrence networks for recommending friends in social networks

Proceedings of second ACM SIGMM workshop on Social media, 2010
In social network services, which have become widely used as an important tool to share rich information, making new friends is the most basic functionality to enable users to take advantage of their social networks. However, in current social network services, making new friends still relies on manually browsing networks of current friends.
Heung-Nam Kim   +2 more
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Discovering Significant Co-Occurrences to Characterize Network Behaviors

2018
A key aspect of computer network defense and operations is the characterization of network behaviors. Several of these behaviors are a result of indirect interactions between various networked entities and are temporal in nature. Modeling them requires non-trivial and scalable approaches.
Kristine Arthur-Durett   +2 more
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Co-occurrence Network from Semantic Differential Data

2013
The aim of this paper is to propose a method to transform semantic differential data in a network structure, whose graph representation is interpreted as an empirical adjectival graph. The derived graph is constituted by the adjectives of the semantic differential task as nodes, two nodes are linked depending on the scoring assigned by the set of ...
GIORDANO, Giuseppe, PRIMERANO, ILARIA
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Co-occurrence Networks for Word Sense Induction

2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2023
Innokentiy S. Humonen, Ilya Makarov
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Spectra of English evolving word co-occurrence networks

Physica A: Statistical Mechanics and its Applications, 2017
Abstract Spectral analysis is a powerful tool that provides global measures of the network properties. In this paper, 200 English articles are collected. A word co-occurrence network is constructed from each single article (denoted by single network). Furthermore, 5 large English word co-occurrence networks are constructed (denoted by large network).
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microbetag: a microbial co-occurrence network annotator

2022
Zafeiropoulos, Haris, Faust, Karoline
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