Shift in the paradigm towards next-generation microbiology.

In this work, the position of contemporary microbiology is considered from the perspective of scientific success, and a list of historical points and lessons learned from the fields of medical microbiology, microbial ecology and systems biology is presented. In addition, patterns in the development of top-down research topics that emerged over time as well as overlapping ideas and personnel, which are the first signs of trans-domain research activities in the fields of metagenomics, metaproteomics, metatranscriptomics and metabolomics, are explored through analysis of the publication networks of 28 654 papers using the computer programme Pajek. The current state of affairs is defined, and the need for meta-analyses to leverage publication biases in the field of microbiology is put forward as a very important emerging field of microbiology, especially since microbiology is progressively dealing with multi-scale systems. Consequently, the need for cross-fertilisation with other fields/disciplines instead of 'more microbiology' is needed to advance the field of microbiology as such. The reader is directed to consider how novel technologies, the introduction of big data approaches and artificial intelligence have transformed microbiology into a multi-scale field and initiated a shift away from its history of mostly manual work and towards a largely technology-, data- and statistics-driven discipline that is often coupled with automation and modelling.

With whom do researchers collaborate and why?

Although research collaboration has been studied extensively, we still lack understanding regarding the factors stimulating researchers to collaborate with different kinds of research partners including members of the same research center or group, researchers from the same organization, researchers from other academic and non-academic organizations as well as international partners. Here, we provide an explanation of the emergence of diverse collaborative ties. The theoretical framework used for understanding research collaboration couples scientific and technical human capital embodied in the individual with the social organization and cognitive characteristics of the research field. We analyze survey data collected from Slovenian scientists in four scientific disciplines: mathematics; physics; biotechnology; and sociology. The results show that while individual characteristics and resources are among the strongest predictors of collaboration, very different mechanisms underlie collaboration with different kinds of partners. International collaboration is particularly important for the researchers in small national science systems. Collaboration with colleagues from various domestic organizations presents a vehicle for resource mobilization. Within organizations collaboration reflects the elaborated division of labor in the laboratories and high level of competition between different research groups. These results hold practical implications for policymakers interested in promoting quality research.

The stability of co-authorship structures.

This article examines the structure of co-authorship networks' stability in time. The goal of the article is to analyse differences in the stability and size of groups of researchers that co-author with each other (core research groups) formed in disciplines from the natural and technical sciences on one hand and the social sciences and humanities on the other. The cores were obtained by a pre-specified blockmodeling procedure assuming a multi-core-semi-periphery-periphery structure. The stability of the obtained cores was measured with the Modified Adjusted Rand Index. The assumed structure was confirmed in all analysed disciplines. The average size of the cores obtained is higher in the second time period and the average core size is greater in the natural and technical sciences than in the social sciences and humanities. There are no differences in average core stability between the natural and technical sciences and the social sciences and humanities. However, if the stability of cores is defined by the splitting of cores and not also by the percentage of researchers who left the cores, the average stability of the cores is higher in disciplines from the scientific fields of Engineering sciences and technologies and Medical sciences than in disciplines of the Humanities, if controlling for the networks' and disciplines' characteristics. The analysis was performed on disciplinary co-authorship networks of Slovenian researchers in two time periods (1991-2000 and 2001-2010).

The evolution of research collaboration within and across disciplines in Italian Academia.

In sociology of science much attention is dedicated to the study of scientific networks, especially to co-authorship and citations in publications. Other trends of research have investigated the advantages, limits, performances and difficulties of interdisciplinary research, which is increasingly advocated by the main lines of public research funding. This paper explores the dynamics of interdisciplinary research in Italy over 10 years of scientific collaboration on research projects. Instead of looking at the output of research, i.e. publications, we analyse the original research proposals that have been funded by the Ministry of University and Research for a specific line of funding, the Research Projects of National Interest. In particular, we want to see how much interdisciplinary research has been conducted during the period under analysis and how changes in the overall amount of public funding might have affected disciplinary and interdisciplinary collaboration. We also want to cluster the similarities and differences of the amount of disciplinary and interdisciplinary collaboration across scientific disciplines, and see if it changes over time. Finally, we want to see if interdisciplinary projects receive an increasing share of funding compared to their disciplinary bounded counterparts. Our results indicate that while interdisciplinary research diminishes along the years, potentially responding to the contraction of public funding, research that cut across disciplinary boundaries overall receives more funding than research confined within disciplinary boundaries. Furthermore, the clustering procedure do not indicate clear and stable distinction between disciplines, but similar patterns of disciplinary and interdisciplinary collaboration are shown by discipline with common epistemological frameworks, which share compatible epistemologies of scientific investigations. We conclude by reflecting upon the implications of our findings for research policies and practices and by discussing future research in this area.

Scientific collaboration dynamics in a national scientific system.

This paper examines the collaboration structures and dynamics of the co-authorship network of all Slovenian researchers. Its goal is to identify the key factors driving collaboration and the main differences in collaboration behavior across scientific fields and disciplines. Two approaches to modelling network dynamics are combined in this paper: the small-world model and the mechanism of preferential attachment, also known as the process of cumulative advantage. Stochastic-actor-based modelling of co-authorship network dynamics uses data for the complete longitudinal co-authorship networks for the entire Slovenian scientific community from 1996 to 2010. We confirmed the presence of clustering in all fields and disciplines. Preferential attachment is far more complex than a single global mechanism. There were two clear distinctions regarding collaboration within scientific fields and disciplines. One was that some fields had an internal national saturation inhibiting further collaboration. The second concerned the differential impact of collaboration with scientists from abroad on domestic collaboration. In the natural, technical, medical, and biotechnical sciences, this promotes collaboration within the Slovenian scientific community while in the social sciences and humanities this inhibits internal collaboration.

Influence of the friends’ network in drug use and violent behaviour among young people in the nightlife recreational context / Influencia de la red de amigos en el comportamiento violento de jóvenes que frecuentan contextos recreativos nocturnos

Party networks of young people are important for socialization, but can also influence their involvement in risk behaviours. We explored the individual-centred networks (7.360 friends) of 1.363 recreational nightlife users in 9 European cities in 2006, through 22 friend characteristics. As expected, deviant networks are related to violence, smoking, illegal drug use and drunkenness. However, socializing and helping networks are also associated with fighting, smoking, use of illegal drugs -except for cannabis- and getting drunk. Not having a deviant network and not having a helping/socializing network can be protective against smoking, violence and illegal drug use, as well as protecting ex-users from relapse. Closeness to friends is also a network protective factor. A possible reason why socializing networks are related to fighting, illegal drugs and drunkenness is that these behaviours are somehow desired, adaptive and prosocial in recreational contexts (AU)

Las redes de amigos de los jóvenes cuando salen a divertirse son importantes para la socialización, pero también influyen en sus conductas de riesgo. Se exploran dichas redes (7.360 amigos) en 1.363 jóvenes de 9 ciudades europeas en 2006, a través de 22 características de los amigos. Las redes desviantes están relacionadas, como se esperaba, a la violencia, el tabaquismo, el consumo de drogas ilegales y la embriaguez. Sin embargo, las redes que facilitan la socialización y proporcionan ayuda también están asociadas con una mayor facilidad en la participación en peleas, tabaquismo, uso de drogas ilegales -excepto cannabis- y emborracharse. No tener una red desviada y no tener una red que facilite la ayuda / socialización puede tener un efecto protector contra el tabaquismo, la violencia y el consumo de drogas ilegales, así como la protección de ex usuarios de la recaída. La cercanía a los amigos es también un factor de protección de la red. Una de las posibles razones por las que las redes que facilitan la socialización se relacionan con las peleas, drogas ilegales y la embriaguez es que estos comportamientos dentro de los contextos recreativos nocturnos son bien vistos, son en parte adaptativos y pro-sociales (AU)

Influence of the friends' network in drug use and violent behaviour among young people in the nightlife recreational context.

Party networks of young people are important for socialization, but can also influence their involvement in risk behaviours. We explored the individual-centred networks (7.360 friends) of 1.363 recreational nightlife users in 9 European cities in 2006, through 22 friend characteristics. As expected, deviant networks are related to violence, smoking, illegal drug use and drunkenness. However, socializing and helping networks are also associated with fighting, smoking, use of illegal drugs--except for cannabis--and getting drunk. Not having a deviant network and not having a helping/socializing network can be protective against smoking, violence and illegal drug use, as well as protecting ex-users from relapse. Closeness to friends is also a network protective factor. A possible reason why socializing networks are related to fighting, illegal drugs and drunkenness is that these behaviours are somehow desired, adaptive and prosocial in recreational contexts.