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The structure and evolution of story networksThe Role of Temporal Trends in Growing NetworksPAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex NetworksTail-scope: Using friends to estimate heavy tails of degree distributions in large-scale complex networksThe Matthew effect in empirical dataCharacterizing and modeling the dynamics of activity and popularityMeasuring the value of research data: a citation analysis of oceanographic data setsUncovering the role of elementary processes in network evolution.Science and Facebook: The same popularity law!Generalized friendship paradox in complex networks: the case of scientific collaborationReputation and impact in academic careers.Network effects on scientific collaborationsOn a heuristic point of view concerning the citation distribution: introducing the Wakeby distribution.Entropy and gravity concepts as new methodological indexes to investigate technological convergence: patent network-based approach.Modeling the citation network by network cosmologyA framework to explore the knowledge structure of multidisciplinary research fields.Anatomy of scientific evolution.Quantifying the consistency of scientific databasesUniversality of Citation Distributions for Academic Institutions and JournalsGenealogical Trees of Scientific Papers.Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level.Towards a simple mathematical theory of citation distributions.Waves of novelties in the expansion into the adjacent possibleGoogle matrix of the citation network of Physical Review.Network-based statistical comparison of citation topology of bibliographic databases.Model-based evaluation of scientific impact indicators.Power laws in citation distributions: evidence from Scopus.A Preferential Attachment Paradox: How Preferential Attachment Combines with Growth to Produce Networks with Log-normal In-degree Distributions.Science of scienceEvaluating the impact of interdisciplinary research: A multilayer network approachInterpreting correlations between citation counts and other indicatorsTracking online topics over time: understanding dynamic hashtag communities
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011 թուականին հրատարակուած գիտական յօդուած
@hyw
2011 թվականին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Characterizing and modeling citation dynamics
@ast
Characterizing and modeling citation dynamics
@en
Characterizing and modeling citation dynamics
@nl
type
label
Characterizing and modeling citation dynamics
@ast
Characterizing and modeling citation dynamics
@en
Characterizing and modeling citation dynamics
@nl
prefLabel
Characterizing and modeling citation dynamics
@ast
Characterizing and modeling citation dynamics
@en
Characterizing and modeling citation dynamics
@nl
P2860
P3181
P1433
P1476
Characterizing and modeling citation dynamics
@en
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0024926
P407
P577
2011-01-01T00:00:00Z