An Exploratory Social Network Analysis of Academic Research Networks

Toral, S. L.; Bessis, Nik; Torres, María del Rocío Martínez; Franc, Florian; Barrero, F.; Xhafa, Fatos

doi:10.1109/incos.2011.49

Cited by 14 publications

(8 citation statements)

References 24 publications

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“…This list is, of course, far from exhaustive and authors dealing with this issue rarely use the same typology. The relative importance they attribute to various typologies usually depends on their theoretical perspective and the level at which they perform the analysis (Hara et al 2003, Katz et al 1997, Toral et al 2011, Melin 2000, Presser 1980).…”

Section: Theoretical Framework: Factors Affecting Scientific Collabormentioning

confidence: 99%

“…National and transnational R&D policy decisions have a big impact on SC at the macro level (Katz et al 1997, Sonnenwald 2007, Maglaughlin et al 2005. The various institutional mechanisms for funding and encouraging various types of SC, such as mobility programs, common international use of large research facilities etc., could be seen as the most important macro external factors affecting SC (Langfeldt et al 2012, Toral et al 2011.…”

Section: Introductionmentioning

confidence: 99%

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The personal factors in scientific collaboration: views held by Slovenian researchers

Mali

Pustovrh

Cugmas

et al. 2018

CJSSP

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Scientific collaboration (SC) has become a widespread feature of modern research work. While many social network studies address various aspects of SC, little attention has so far been given to the specific factors that motivate researchers to engage in SC at the individual level. In our article, we focus on the types and practices of SC that researchers in Slovenia engage in. We consider this topic by adopting a quantitative and qualitative methodological approach. The former was conducted through a web survey among active researchers, and the latter through in-depth interviews with a selected group of top researchers, i.e. intellectual leaders. Results show the extent of individual SC depends on the perceptions of researchers of the benefits of SC. Qualitative interviews additionally provide broader reflections on certain policy mechanisms that could better motivate Slovenian scientists to scientifically collaborate in the international arena.

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Section: Theoretical Framework: Factors Affecting Scientific Collabormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The personal factors in scientific collaboration: views held by Slovenian researchers

Mali

Pustovrh

Cugmas

et al. 2018

CJSSP

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“…A typical example of a social network analysis application is illustrated in figure 1. Here, authors [26] have applied social network analysis to demonstrate how academic collaborative networks are developing in practice.…”

Section: Applications Of Social Networkmentioning

confidence: 99%

“…COLLABORATIVE NETWORKS [26] Within this context, we herein propose the use of social networking analysis to extract IoT objects based on their interlinking.…”

Section: Figure 1: a Social Networking Analysis In Academicmentioning

confidence: 99%

Interconnectedness of Complex Systems of Internet of Things through Social Network Analysis for Disaster Management

Zelenkauskaite

Bessis

Sotiriadis

et al. 2012

2012 Fourth International Conference on Intelligent Networking and Collaborative Systems

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This visionary paper presents the Internet of Things paradigm in terms of interdependent dynamic dimensions of objects and their properties. Given that in its current state Internet of Things (IoT) has been viewed as a paradigm based on hierarchical distribution of objects, evaluation of the dynamic nature of the hierarchical structures faces challenges in its evaluation and analysis. Within this in mind, our focus is on the area of complex social networks and the dynamic social network construction within the context of IoT. This is by highlighting and addressing the tagging issues of the objects to the real-world domain such as in disaster management; these are in relation to their hierarchies and interrelation within the context of social network analysis. Specifically, we suggest to investigate and deepen the understanding of the IoT paradigm through the application of social network analysis as a method for interlinking objectsand thus, propose ways in which IoT could be subsequently interlinked and analyzed through social network analysis approach -which provides possibilities for linking of the objects, while extends it into real-world domain. With this in mind, we present few applications and key characteristics of disaster management and the social networking analysis approach, as well as, foreseen benefits of its application in the IoT domain.

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“…El incremento de la multidisciplinariedad en el ámbito de la colaboración científicadentro de las ciencias cognitivas se observa la interrelación entre la Antropología, la Inteligencia Artificial, la Lingüística, la Filosofía, la Psicología y la Neurociencia entre otras disciplinas-conlleva la aparición de nuevas disciplinas (Fields, 2015). La creciente complejidad y especialización que van adquiriendo los temas de investigación, hace necesaria la creación de equipos de carácter multidisciplinar que permitan afrontar retos difícilmente abordables por un único investigador o una sola área de conocimiento (Toral et al, 2011;C. S. Wagner & Leydesdorff, 2005;Wu & Duan, 2015).…”

Section: Introductionunclassified

Análisis de la colaboración científica en el Instituto de Neurociencias de la Universidad de Barcelona (2011-2016)

Armengol¹

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The sample was then analysed using SPSS to calculate statistics on the production of papers and Pajek to identify social networks and analyse the position researchers held in these. Average Journal Impact Factor Percentile (AJIFP) of the Journal Citation Reports was used to analyse the prestige of the journals in which the INUB researchers published. Of the 1,916 papers selected in WoSCC, 53.65% (n=1.028) were published in journals positioned between the 75th and 100th percentiles, and 79.33% (n=1.520) appeared in journals positioned between the 50th and 100th percentiles. The average number of co-authored papers per year was 319. The collaboration index ranged between 7.41 and 9.92 authors per paper and was influenced by the dispersion observed in the number of researchers who authored the different papers selected. When examining the social networks, the study only considered those researchers who had authored a minimum of five papers, analysing a total of 37 networks whose composition ranged between 3 and 36 nodes. The findings reflect a substantial degree of scientific collaboration between INUB researchers and researchers from other institutes and units associated with the Universitat de Barcelona and other organizations at both national and international levels. The social networks which the INUB researchers formed part of were mainly characterized by their scalefree and small-world properties.

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An Exploratory Social Network Analysis of Academic Research Networks

Cited by 14 publications

References 24 publications

The personal factors in scientific collaboration: views held by Slovenian researchers

The personal factors in scientific collaboration: views held by Slovenian researchers

Interconnectedness of Complex Systems of Internet of Things through Social Network Analysis for Disaster Management

Análisis de la colaboración científica en el Instituto de Neurociencias de la Universidad de Barcelona (2011-2016)

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