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Other ORP type . 2018
License: CC BY NC
Data sources: Datacite
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Other ORP type . 2018
License: CC BY NC
Data sources: Datacite
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Selection Of Detailed Results Of The Analysis Done In "Stochastic Block Model Reveals Maps Of Citation Patterns And Their Evolution In Time"

Authors: Hric, Darko; Kaski, Kimmo; Kivelä, Mikko;

Selection Of Detailed Results Of The Analysis Done In "Stochastic Block Model Reveals Maps Of Citation Patterns And Their Evolution In Time"

Abstract

Introduction Selection of the detailed results of the analysis done in the article Darko Hric, Kimmo Kaski, Mikko Kivelä: "Stochastic Block Model Reveals Maps of Citation Patterns and Their Evolution in Time". The results consist of aggregated networks of citations between scientific journals and their blocks inferred using a stochastic block model. See the article for details on the methods and data sources. Network construction The article contains a detailed description of the network and block construction. The full citation data is split into 10-year (1900s-1970s) and 5-year windows (after 1970s), and networks are constructed using only the data inside these windows. In each time window, a node corresponds to an active journal that has publications in the given time period. The connections between the journals are constructed using outgoing citations from these journals such that there is a directed link from journal a to journal b if an article in journal a cites an article in journal b, and the weight of this link is taken to be the number of such citations. For each time window only the contemporary citations satisfying the following two criteria are used: (1) the cited article is published in a journal that is active in the time window, and (2) the time difference between the citing and the cited article is shorter than the length of the window. The results of this procedure are found in files named "edgelist_level_0.txt" and "blocks_level_0.txt". Higher levels are the results of fitting a hierarchical, degree-corrected stochastic blockmodel (as implemented in python package graph-tool, version 2.19dev) onto the networks at level_0. Data format Data for each time window is placed in a separate directory. Files with filenames starting with 'edgelist_' contain one edge per line, in the format: source target weight source and target are zero-indexed numbers, representing blocks whose content can be found in files with filenames starting with 'blocks_'. Each line in 'blocks_' files contains a space-separated list of journals belonging to a block, and the line number they are at corresponds to the serial number of the block (note: since blocks are zero-indexed, line Nr 1 corresponds to block Nr 0, etc.). Field assignments of each journal is given in files named 'blocks_fields.txt', in the same format as other 'blocks_' files. The names of fields are given in files 'blocks_fields.txt.names', with line numbers matching those in the corresponding 'blocks_' files. Citing When using or refering to these results, please cite: Stochastic Block Model Reveals Maps of Citation Patterns and Their Evolution in Time, D. Hric, K. Kaski, M. Kivelä

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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