Descriptive vs. inferential community detection in networks : : pitfalls, myths and half-truths / / Tiago P. Peixoto.
Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with the automated division of a network into fundamental building blocks, with the objective of providing a...
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Superior document: | Cambridge elements. Elements in the structure and dynamics of complex networks, |
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Place / Publishing House: | Cambridge : : Cambridge University Press,, 2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. |
Language: | English |
Series: | Cambridge elements. Elements in the structure and dynamics of complex networks,
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Physical Description: | 1 online resource (75 pages) :; illustrations (black and white, and colour), digital, PDF file(s). |
Notes: | Also issued in print: 2023. |
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Peixoto, Tiago, author. Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / Tiago P. Peixoto. 1st ed. Cambridge : Cambridge University Press, 2023. 1 online resource (75 pages) : illustrations (black and white, and colour), digital, PDF file(s). text txt rdacontent still image sti rdacontent computer c rdamedia online resource cr rdacarrier Cambridge elements. Elements in the structure and dynamics of complex networks, 2516-5763 1. Introduction; 2. Descriptive vs. inferential community detection; 3. Modularity maximization considered harmful; 4. Myths, pitfalls, and half-truths; 5. Conclusion; References. Specialized. Open Access. Unrestricted online access star Also issued in print: 2023. Includes bibliographical references. Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with the automated division of a network into fundamental building blocks, with the objective of providing a summary of its large-scale structure. Despite its importance and widespread adoption, there is a noticeable gap between what is arguably the state-of-the-art and the methods which are actually used in practice in a variety of fields. The Elements attempts to address this discrepancy by dividing existing methods according to whether they have a 'descriptive' or an 'inferential' goal. While descriptive methods find patterns in networks based on context-dependent notions of community structure, inferential methods articulate a precise generative model, and attempt to fit it to data. In this way, they are able to provide insights into formation mechanisms and separate structure from noise. This title is also available as open access on Cambridge Core. Description based on online resource; title from PDF title page (viewed on July 24, 2023). Social networks Research Methodology. 9781009113007 Cambridge elements. Elements in the structure and dynamics of complex networks, 2516-5763. |
language |
English |
format |
eBook |
author |
Peixoto, Tiago, |
spellingShingle |
Peixoto, Tiago, Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / Cambridge elements. Elements in the structure and dynamics of complex networks, 1. Introduction; 2. Descriptive vs. inferential community detection; 3. Modularity maximization considered harmful; 4. Myths, pitfalls, and half-truths; 5. Conclusion; References. |
author_facet |
Peixoto, Tiago, |
author_variant |
t p tp |
author_role |
VerfasserIn |
author_sort |
Peixoto, Tiago, |
title |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / |
title_sub |
pitfalls, myths and half-truths / |
title_full |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / Tiago P. Peixoto. |
title_fullStr |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / Tiago P. Peixoto. |
title_full_unstemmed |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / Tiago P. Peixoto. |
title_auth |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / |
title_new |
Descriptive vs. inferential community detection in networks : |
title_sort |
descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / |
series |
Cambridge elements. Elements in the structure and dynamics of complex networks, |
series2 |
Cambridge elements. Elements in the structure and dynamics of complex networks, |
publisher |
Cambridge University Press, |
publishDate |
2023 |
physical |
1 online resource (75 pages) : illustrations (black and white, and colour), digital, PDF file(s). |
edition |
1st ed. |
contents |
1. Introduction; 2. Descriptive vs. inferential community detection; 3. Modularity maximization considered harmful; 4. Myths, pitfalls, and half-truths; 5. Conclusion; References. |
isbn |
1-009-11889-7 9781009113007 |
issn |
2516-5763 |
callnumber-first |
H - Social Science |
callnumber-subject |
HM - Sociology |
callnumber-label |
HM741 |
callnumber-sort |
HM 3741 P4 42023 |
illustrated |
Illustrated |
dewey-hundreds |
300 - Social sciences |
dewey-tens |
300 - Social sciences, sociology & anthropology |
dewey-ones |
302 - Social interaction |
dewey-full |
302.011 |
dewey-sort |
3302.011 |
dewey-raw |
302.011 |
dewey-search |
302.011 |
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AT peixototiago descriptivevsinferentialcommunitydetectioninnetworkspitfallsmythsandhalftruths |
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cr |
hierarchy_parent_title |
Cambridge elements. Elements in the structure and dynamics of complex networks, |
is_hierarchy_title |
Descriptive vs. inferential community detection in networks : pitfalls, myths and half-truths / |
container_title |
Cambridge elements. Elements in the structure and dynamics of complex networks, |
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