Analysis of Regular Patterns in Un-Weighted Directed Graphs Article Swipe
Anand Gupta
,
Hardeo Kumar Thakur
,
Anmoll Kumar Jain
,
Prakhar Rustagi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4018/ijirr.289571
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4018/ijirr.289571
Time evolving networks tend to have an element of regularity. This regularity is characterized by existence of repetitive patterns in the data sequences of the graph metrics. As per our research, the relevance of such regular patterns to the network has not been adequately explored. Such patterns in certain data sequences are indicative of properties like popularity, activeness etc. which are of vital significance for any network. These properties are closely indicated by data sequences of graph metrics - degree prestige, degree centrality and occurrence. In this paper, (a) an improved mining algorithm has been used to extract regular patterns in these sequences, and (b) a methodology has been proposed to quantitatively analyse the behavior of the obtained patterns. To analyze this behavior, a quantification measure coined as "Sumscore" has been defined to compare the relative significance of such patterns. The patterns are ranked according to their Sumscores and insights are then drawn upon it. The efficacy of this method is demonstrated by experiments on two real world datasets.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4018/ijirr.289571
- https://www.igi-global.com/ViewTitle.aspx?TitleId=289571&isxn=9781683182085
- OA Status
- hybrid
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- 20
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- 10
- OpenAlex ID
- https://openalex.org/W3214350465
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3214350465Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4018/ijirr.289571Digital Object Identifier
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Analysis of Regular Patterns in Un-Weighted Directed GraphsWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-10-10Full publication date if available
- Authors
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Anand Gupta, Hardeo Kumar Thakur, Anmoll Kumar Jain, Prakhar RustagiList of authors in order
- Landing page
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https://doi.org/10.4018/ijirr.289571Publisher landing page
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https://www.igi-global.com/ViewTitle.aspx?TitleId=289571&isxn=9781683182085Direct link to full text PDF
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hybridOpen access status per OpenAlex
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https://www.igi-global.com/ViewTitle.aspx?TitleId=289571&isxn=9781683182085Direct OA link when available
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Centrality, Graph, Computer science, Popularity, Relevance (law), Degree (music), Data mining, Theoretical computer science, Measure (data warehouse), Mathematics, Statistics, Psychology, Acoustics, Social psychology, Political science, Law, PhysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.been | 42, 94, 108, 130 |
| abstract_inverted_index.data | 21, 49, 73 |
| abstract_inverted_index.etc. | 58 |
| abstract_inverted_index.have | 5 |
| abstract_inverted_index.like | 55 |
| abstract_inverted_index.real | 166 |
| abstract_inverted_index.such | 34, 138 |
| abstract_inverted_index.tend | 3 |
| abstract_inverted_index.then | 151 |
| abstract_inverted_index.this | 86, 121, 158 |
| abstract_inverted_index.upon | 153 |
| abstract_inverted_index.used | 95 |
| abstract_inverted_index.These | 67 |
| abstract_inverted_index.drawn | 152 |
| abstract_inverted_index.graph | 25, 76 |
| abstract_inverted_index.their | 146 |
| abstract_inverted_index.these | 101 |
| abstract_inverted_index.vital | 62 |
| abstract_inverted_index.which | 59 |
| abstract_inverted_index.world | 167 |
| abstract_inverted_index.coined | 126 |
| abstract_inverted_index.degree | 79, 81 |
| abstract_inverted_index.method | 159 |
| abstract_inverted_index.mining | 91 |
| abstract_inverted_index.paper, | 87 |
| abstract_inverted_index.ranked | 143 |
| abstract_inverted_index.analyse | 112 |
| abstract_inverted_index.analyze | 120 |
| abstract_inverted_index.certain | 48 |
| abstract_inverted_index.closely | 70 |
| abstract_inverted_index.compare | 133 |
| abstract_inverted_index.defined | 131 |
| abstract_inverted_index.element | 7 |
| abstract_inverted_index.extract | 97 |
| abstract_inverted_index.measure | 125 |
| abstract_inverted_index.metrics | 77 |
| abstract_inverted_index.network | 39 |
| abstract_inverted_index.regular | 35, 98 |
| abstract_inverted_index.behavior | 114 |
| abstract_inverted_index.efficacy | 156 |
| abstract_inverted_index.evolving | 1 |
| abstract_inverted_index.improved | 90 |
| abstract_inverted_index.insights | 149 |
| abstract_inverted_index.metrics. | 26 |
| abstract_inverted_index.network. | 66 |
| abstract_inverted_index.networks | 2 |
| abstract_inverted_index.obtained | 117 |
| abstract_inverted_index.patterns | 18, 36, 46, 99, 141 |
| abstract_inverted_index.proposed | 109 |
| abstract_inverted_index.relative | 135 |
| abstract_inverted_index.Sumscores | 147 |
| abstract_inverted_index.according | 144 |
| abstract_inverted_index.algorithm | 92 |
| abstract_inverted_index.behavior, | 122 |
| abstract_inverted_index.datasets. | 168 |
| abstract_inverted_index.existence | 15 |
| abstract_inverted_index.explored. | 44 |
| abstract_inverted_index.indicated | 71 |
| abstract_inverted_index.patterns. | 118, 139 |
| abstract_inverted_index.prestige, | 80 |
| abstract_inverted_index.relevance | 32 |
| abstract_inverted_index.research, | 30 |
| abstract_inverted_index.sequences | 22, 50, 74 |
| abstract_inverted_index."Sumscore" | 128 |
| abstract_inverted_index.activeness | 57 |
| abstract_inverted_index.adequately | 43 |
| abstract_inverted_index.centrality | 82 |
| abstract_inverted_index.indicative | 52 |
| abstract_inverted_index.properties | 54, 68 |
| abstract_inverted_index.regularity | 11 |
| abstract_inverted_index.repetitive | 17 |
| abstract_inverted_index.sequences, | 102 |
| abstract_inverted_index.experiments | 163 |
| abstract_inverted_index.methodology | 106 |
| abstract_inverted_index.occurrence. | 84 |
| abstract_inverted_index.popularity, | 56 |
| abstract_inverted_index.regularity. | 9 |
| abstract_inverted_index.demonstrated | 161 |
| abstract_inverted_index.significance | 63, 136 |
| abstract_inverted_index.characterized | 13 |
| abstract_inverted_index.quantification | 124 |
| abstract_inverted_index.quantitatively | 111 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.16706228 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |