scholarly journals Social Network: a Cytoscape app for visualizing co-authorship networks

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 481 ◽  
Author(s):  
Victor Kofia ◽  
Ruth Isserlin ◽  
Alison M.J. Buchan ◽  
Gary D. Bader

Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an edge linking two individuals represents a connection. The app focuses on creating visual summaries of individuals connected by co-authorship links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-authorship networks can be visualized and analyzed to better understand collaborative research networks or to communicate the extent of collaboration and publication productivity among a group of researchers, like in a grant application or departmental review report. It can also be useful as a research tool to identify important research topics, researchers and papers in a subject area.

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 481
Author(s):  
Victor Kofia ◽  
Ruth Isserlin ◽  
Alison M.J. Buchan ◽  
Gary D. Bader

Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an edge linking two individuals represents a connection. The app focuses on creating visual summaries of individuals connected by co-authorship links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-authorship networks can be visualized and analyzed to better understand collaborative research networks or to communicate the extent of collaboration and publication productivity among a group of researchers, like in a grant application or departmental review report. It can also be useful as a research tool to identify important research topics, researchers and papers in a subject area.


F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 481
Author(s):  
Victor Kofia ◽  
Ruth Isserlin ◽  
Alison M.J. Buchan ◽  
Gary D. Bader

Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an edge linking two individuals represents a connection. The app focuses on creating visual summaries of individuals connected by co-publication links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-publication networks can be visualized and analyzed to better understand collaborative research networks or to communicate the extent of collaboration and publication productivity among a group of researchers, like in a grant application or departmental review report. It can also be useful as a research tool to identify important research topics, researchers and papers in a subject area.


Author(s):  
Germano Maifreda

Economic knowledge and scientific method in the lombard enlightenment. Notes from «Il caffè». The connections, emerging between the 16th and the 18th century, between the evolution of economic knowledge and the rise of the scientific method, are important research topics for historians of economic ideas. However, further research on the application of the scientific method is still needed, especially when we come to the analysis of how economic principles took shape in Lombardy during the Enlightenment. The same need for further research concerns the debates on economic policy during the Age of Reforms in the latter half of the eighteenth century. This is even more necessary for Milanese Enlightenment scholars, who have been relatively neglected in comparison to the contemporary Neapolitan writers. A first aspect, enphasized in this paper, is the admiration expressed by the Lombard authors toward achievements coming from elsewhere, and particularly from outside Italy. Reading “Il Caffè”, together with the works and correspondence of Pietro and Alessandro Verri, Cesare Beccaria, Paolo Frisi and many other scholars, gives immediate and clear evidence of the Lombard attraction for the scientific tradition in mathematics, physics, astronomy, and, more generally, for the western tradition of epistemology and philosophy of science rooted in the works of Galileo, Bacon, Newton, Petty, Harvey and others. However, admiration and attraction never boil down to a passive acceptance of ready-made recipes, nor do they lead to mechanistic interpretations of the working of social and economic systems. It must be said that one of the original traits of the Lombard contribution during the enlightenment is the inclination to draw the appropriate epistemic distinction between the natural sciences on one side and the social and political sciences on the other side. The Lombard writers were precocious in keeping aloof from any acritical scientistic drift.


Author(s):  
Dimitrina Dimitrova ◽  
Emmanuel Koku

This paper explores how management practices shape the way dispersed communities of practice (CoPs) function. The analysis is a case study of a dispersed community engaged in conducting and managing collaborative research. The analysis uses data from a social network survey and semi-structured interviews to capture the management practices in the community and demonstrate how they are linked to the patterns of information flows and communication.This analysis is a test case for the broader issue of how distributed communities function. It shows that even highly distributed CoPs may have a dual life: they exist both online and offline, in both face-to-face meetings and email exchanges of their participants. The study examines a dispersed community engaged in conducting and managing collaborative research. The analysis uses data from a social network survey and interviews to examine its managerial practices, information exchanges and communication practices.


Author(s):  
Dimitrina Dimitrova ◽  
Emmanuel Koku

This analysis is a test case for the broader issue of how distributed communities function. It shows that even highly distributed CoPs may have a dual life: they exist both online and offline, in both face-to-face meetings and email exchanges of their participants. The study examines a dispersed community engaged in conducting and managing collaborative research. The analysis uses data from a social network survey and interviews to examine its managerial practices, information exchanges and communication practices.


2020 ◽  
Vol 10 (2) ◽  
pp. 248-264
Author(s):  
Meltem Yurtçu ◽  
Serpil Pekdogan

In this study, the social network structure of the studies conducted in the early childhood towards the concept of temperament was examined. The research was considered as a descriptive study since it examined the relation between the existing studies according to the citations. The concept of temperament in early childhood has taken its place in the literature as a concept that began to be studied in 1955. 1025 studies on this subject in the Web of Science database were examined. Studies conducted between 1975-2020 were analyzed. In this study, Cite Space program, one of the social network analysis programs, was used. Documents were examined in relation to co-citations by authors, journals, countries and sources. As a result of the examinations, it was concluded that the most cited country was the United States, the most cited author Mary K. Rothbart, and the most cited journal Child Development. As a result of examining the co-references in the documents, 18 clusters named using the LLR (log-likelihood) algorithm were obtained. The names of the clusters and the most cited articles were determined in accordance with the network structure. At the same time, it is possible to see which clusters are more active in which periods and when the co-citations are analyzed according to the references and which articles are referred to more frequently. The current studies on this subject have been included in child obesity risk, postnatal plasticity revisited and extended and dispositional negativity clusters. With the results of this research, a map of information is presented to the researchers who want to study on the subject of temperament in early childhood. It can direct the researchers according to their sub-fields. It gives information about important sources, authors, and journals about the subject of interest, according to the tendency of the researcher. In addition, the researcher could see current issues or what topics the literature lacks. Therefore, as with this topic, authors can obtain detailed information about the subject area with such bibliometric studies while choosing the field of study.


2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


Author(s):  
V. Kovpak ◽  
N. Trotsenko

<div><p><em>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</em></p></div><p><em>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).</em></p><p><strong><em>Key words:</em></strong><em> nativeness, native advertising, branded content, special project, communication strategy.</em></p>


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


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