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The source-item coverage of the exponential function

Thierry Lafouge
2007 Journal of Informetrics  
In this article, we recall some results of basic theory of Lotkaian informetrics, then we transpose methods (Theorem1) applied to Lotkaian distributions by Leo Egghe (Theorem 2) to the exponential distributions  ...  Statistical distributions in the production of information are most often studied in the framework of Lotkaian informetrics.  ...  In practice, when one determines a best-fitting curve, we must truncate the distribution because for high frequencies the number of items produced is very low.  ... 
doi:10.1016/j.joi.2006.09.004 fatcat:q7o2deheyjh63ivfynculqoy4q

Studying the source code of scientific research

Graham Cormode, S. Muthukrishnan, Jinyun Yan
2013 SIGKDD Explorations  
Just as inspecting the source code of programs tells us a lot about the process of programming, inspecting the "source code" of scientific papers informs on the process of scientific writing.  ...  We report on our study of the source of tens of thousands of papers from Computer Science and Mathematics.  ...  with a strongly positive connotation.  ... 
doi:10.1145/2481244.2481254 fatcat:62qwuo5ucbeonb7h35dszm3ydi

Scienceography: The Study of How Science Is Written [chapter]

Graham Cormode, S. Muthukrishnan, Jinyun Yan
2012 Lecture Notes in Computer Science  
However, most prior work has focused on extracting and analyzing citation and stylistic patterns. In this work, we introduce the notion of 'scienceography', which focuses on the writing of science.  ...  We provide a first large scale study using data derived from the arXiv e-print repository.  ...  Here, the size of each word scales with to the frequency of the word in the input.  ... 
doi:10.1007/978-3-642-30347-0_37 fatcat:nst25lixcrgwph33f3wab7kg7u

Scienceography: the study of how science is written [article]

Graham Cormode, S. Muthukrishnan, Jinyun Yan
2013 arXiv   pre-print
However, most prior work has focused on extracting and analyzing citation and stylistic patterns. In this work, we introduce the notion of 'scienceography', which focuses on the writing of science.  ...  We provide a first large scale study using data derived from the arXiv e-print repository.  ...  Here, the size of each word scales with to the frequency of the word in the input.  ... 
arXiv:1202.2638v4 fatcat:7ouiareepncklo7cjidihftpsm

A network approach to topic models

Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann
2018 Science Advances  
Topic models are one popular machine-learning approach which infers the latent topical structure of a collection of documents.  ...  Here we obtain a fresh view on the problem of identifying topical structures by relating it to the problem of finding communities in complex networks.  ...  The LDA description length S LDA does not depend strongly on the considered prior (true or noninformative) as the size of the corpora increases (Fig. 4B) .  ... 
doi:10.1126/sciadv.aaq1360 pmid:30035215 pmcid:PMC6051742 fatcat:hb3mjafz7fdnvhw6whre6g2i6y

A survey of Web metrics

Devanshu Dhyani, Wee Keong Ng, Sourav S. Bhowmick
2002 ACM Computing Surveys  
In this paper, we examine this issue by classifying and discussing a wide ranging set of Web metrics.  ...  Is Web informetrics any different, or is it just an application of classical informetrics to a new medium?  ...  The shape parameter can be varied to change the shape peaked distribution to an exponential to a unimodal distribution. The scale parameter adjust the mean of the distribution.  ... 
doi:10.1145/592642.592645 fatcat:4ftsoval3fazthmg5aed6o3fsu

Mapping the Evolution of 'Clusters': A Meta-Analysis

Mario A. Maggioni, Francesca Gambarotto, Teodora Erika Uberti
2009 Social Science Research Network  
We measure the extent of a convergence process of the vocabulary of scientists working on clusters.  ...  We measure the extent of a convergence process of the vocabulary of scientist working on clusters.  ...  To identify these words, we used a hypergeometric model, asymptotically approximated to a Gaussian distribution, by which a probability of frequency of each word-type in each historical period is calculated  ... 
doi:10.2139/ssrn.1489308 fatcat:57bqtg7iwrdknlrykkiupr4vwm

Quantifying the impact of weak, strong, and super ties in scientific careers

Alexander Michael Petersen
2015 Proceedings of the National Academy of Sciences of the United States of America  
From more than 166,000 collaboration records, we quantify the frequency distributions of collaboration duration and tie-strength, showing that collaboration networks are dominated by weak ties characterized  ...  as career age, prestige, team size, and prior group experience.  ...  The author also acknowledges feedback from participants in the European Union Cooperation in Science and Technology (COST) Action TD1210 (KnowEscape) workshop on "Quantifying scientific impact: Networks  ... 
doi:10.1073/pnas.1501444112 pmid:26261301 pmcid:PMC4553788 fatcat:em2qo434mbfldhqrjvzkh6lbce

4D Monitoring of Active Sinkholes with a Terrestrial Laser Scanner (TLS): A Case Study in the Evaporite Karst of the Ebro Valley, NE Spain

Alfonso Benito-Calvo, Francisco Gutiérrez, Adrián Martínez-Fernández, Domingo Carbonel, Theodoros Karampaglidis, Gloria Desir, Jorge Sevil, Jesús Guerrero, Ivan Fabregat, Ángel García-Arnay
2018 Remote Sensing  
This work explores, for the first time, the application of a Terrestrial Laser Scanner (TLS) and a comparison of point clouds in the 4D monitoring of active sinkholes.  ...  The 3D displacement models derived from the comparison of point clouds with exceptionally high spatial resolution allow complex spatial and temporal subsidence patterns within one of the sinkholes to be  ...  Surface displacement within this subsidence area shows a unimodal distribution with a main peak at −7.5 cm (−14.9 cm/year), and a maximum value of −25 cm (−49.8 cm/year) ( Figure 6A3 ).  ... 
doi:10.3390/rs10040571 fatcat:57rqylz5k5g35ew75roe74i23q

Probability Distribution of Causal Linguistic Features

Hong Ma, Haitao Liu
2019 Glottometrics  
Glottometrics is a scientific journal for the quantitative research on language and text published at irregular intervals (2-3 times a year).  ...  Contributions in English or German written with a common text processing system (preferably WORD) should be sent to one of the editors.  ...  One point to note here is that we use the frequency-per-million to make the results comparable considering different sizes in different years.  ... 
dblp:journals/glottometrics/MaL19 fatcat:lajghwduvnak5ot6od4f33vjeq

Institutional Collaboration Recommendation: An expertise-based framework using NLP and Network Analysis

Hiran H Lathabai, Abhirup Nandy, Vivek Kumar Singh
2022 Expert systems with applications  
The framework, based on NLP and network analysis techniques, is capable of determining the strengths of an institution in different thematic areas within a field and thereby determining the core competency  ...  A major advantage of the system is that it can help to determine and improve the research portfolio of an institution within a field through suitable collaboration, which may lead to the overall improvement  ...  Acknowledgements The authors would like to acknowledge the support provided by the DST-NSTMIS funded project-'Design of a Computational Framework for Discipline-wise and Thematic Mapping of Research Performance  ... 
doi:10.1016/j.eswa.2022.118317 fatcat:lhaxmriwvfd5daf344ycdoidem

Mapping collective behavior – beware of looping

Markus Christen, Peter Brugger
2014 Behavioral and Brain Sciences  
We outline how this can be understood as a dimension of "height" in the map of Bentley et al.  ...  This self-reflection is a variant of the "looping effect" which denotes that, in social research, the product of investigation influences the object of investigation.  ...  Note that the distribution of word frequencies is log-normal but the turnover within the most popular keywords has been minimal.  ... 
doi:10.1017/s0140525x13001696 pmid:24572221 fatcat:qsfmoow6zvb6xb3u57tgvfwada

Big data in the new media environment

Matthew Brook O'Donnell, Emily B. Falk, Sara Konrath
2014 Behavioral and Brain Sciences  
AbstractBentley et al. argue for the social scientific contextualization of "big data" by proposing a four-quadrant model.  ...  We outline a method that leverages linguistic tools to connect insights across fields that address the individuals underlying big-data media streams.  ...  Note that the distribution of word frequencies is log-normal but the turnover within the most popular keywords has been minimal.  ... 
doi:10.1017/s0140525x13001672 pmid:24572235 fatcat:hrck375xfvcirb5qt5uifx766y

Adding network structure onto the map of collective behavior

Santo Fortunato, Jari Saramäki, Jukka-Pekka Onnela
2014 Behavioral and Brain Sciences  
This dimension, which captures a feature of network community structure, is known both from theory and from experiments to be relevant for decision-making processes.  ...  Note that the distribution of word frequencies is log-normal but the turnover within the most popular keywords has been minimal.  ...  it is not strongly affected by population size (Eriksson et al. 2010; Evans & Giometto 2011) .  ... 
doi:10.1017/s0140525x13001726 pmid:24572224 fatcat:bgko434cvng4lnrayuitysm6om

"Big data" needs an analysis of decision processes

Pantelis P. Analytis, Mehdi Moussaïd, Florian Artinger, Juliane E. Kämmer, Gerd Gigerenzer
2014 Behavioral and Brain Sciences  
AbstractWe demonstrate by means of a simulation that the conceptual map presented by Bentley et al. is incomplete without taking into account people's decision processes.  ...  Within the same environment, two decision processes can generate strikingly different collective behavior; in two environments that fundamentally differ in transparency, a single process gives rise to  ...  Note that the distribution of word frequencies is log-normal but the turnover within the most popular keywords has been minimal.  ... 
doi:10.1017/s0140525x13001659 pmid:24572218 fatcat:hia3dthrdzdk5ig2ggqwxtbt4e
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