The Evolution of Your Success Lies at the Centre of Your Co-Authorship Network

Servia-Rodríguez, Sandra; Noulas, Anastasios; Mascolo, Cecilia; Vilas, Ana Fernández; Redondo, Rebeca P. Díaz

doi:10.1371/journal.pone.0114302

Cited by 20 publications

(17 citation statements)

References 25 publications

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“…In the course of a collaboration, new ideas shape and eventually result in new discoveries and scientific publications [36]. As a result, collaborations impact researchers' scientific careers and their academic success [44,43,51,52]. For example, the centrality of a scientist in a collaboration network is associated with her success [51,52] and co-authorship strength is related to high productivity and citations [43,44].…”

mentioning

confidence: 99%

Gender Disparities in Science? Dropout, Productivity, Collaborations and Success of Male and Female Computer Scientists

Jadidi

Karimi

Lietz

et al. 2018

Advs. Complex Syst.

107

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Scienti¯c collaborations shape ideas as well as innovations and are both the substrate for, and the outcome of, academic careers. Recent studies show that gender inequality is still present in many scienti¯c practices ranging from hiring to peer-review processes and grant applications. In this work, we investigate gender-speci¯c di®erences in collaboration patterns of more than one million computer scientists over the course of 47 years. We explore how these patterns change over years and career ages and how they impact scienti¯c success. Our results highlight that successful male and female scientists reveal the same collaboration patterns: compared to scientists in the same career age, they tend to collaborate with more colleagues than other scientists, seek innovations as brokers and establish longer-lasting and more repetitive collaborations. However, women are on average less likely to adopt the collaboration patterns that are related with success, more likely to embed into ego networks devoid of structural holes, and they exhibit stronger gender homophily as well as a consistently higher dropout rate than men in all career ages.

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mentioning

confidence: 99%

Gender Disparities in Science? Dropout, Productivity, Collaborations and Success of Male and Female Computer Scientists

Jadidi

Karimi

Lietz

et al. 2018

Advs. Complex Syst.

107

View full text Add to dashboard Cite

show abstract

“…This, however, cannot be obtained in the real world for the same technology and the same users in a common time window. Recent work has addressed a somewhat comparable question by asking how the success of a scientific author depends on his/her position in the co-authorship network [ 30 ]. For such work an extensive mining of the author databases, which is beyond the aim of the current work, is necessary.…”

Section: Discussionmentioning

confidence: 99%

The Underlying Social Dynamics of Paradigm Shifts

et al. 2015

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We develop here a multi-agent model of the creation of knowledge (scientific progress or technological evolution) within a community of researchers devoted to such endeavors. In the proposed model, agents learn in a physical-technological landscape, and weight is attached to both individual search and social influence. We find that the combination of these two forces together with random experimentation can account for both i) marginal change, that is, periods of normal science or refinements on the performance of a given technology (and in which the community stays in the neighborhood of the current paradigm); and ii) radical change, which takes the form of scientific paradigm shifts (or discontinuities in the structure of performance of a technology) that is observed as a swift migration of the knowledge community towards the new and superior paradigm. The efficiency of the search process is heavily dependent on the weight that agents posit on social influence. The occurrence of a paradigm shift becomes more likely when each member of the community attaches a small but positive weight to the experience of his/her peers. For this parameter region, nevertheless, a conservative force is exerted by the representatives of the current paradigm. However, social influence is not strong enough to seriously hamper individual discovery, and can act so as to empower successful individual pioneers who have conquered the new and superior paradigm.

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“…Our work is inspired by a previous research work developed in [ 10 ], where they introduced a predictive model that maps social media data to tie strength concept. This approach was also used in [ 27 ] to assess how the co-authorship network is related to the research performance over time. In this section, we will summarize briefly some of the basic ideas built up to be applied in this new field of study.…”

Section: Tie Strength Applied To Manetsmentioning

confidence: 99%

QSMVM: QoS-Aware and Social-Aware Multimetric Routing Protocol for Video-Streaming Services over MANETS

Jara

Mezher

Igartua

et al. 2021

Sensors

Self Cite

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A mobile ad hoc network (MANET) is a set of autonomous mobile devices connected by wireless links in a distributed manner and without a fixed infrastructure. Real-time multimedia services, such as video-streaming over MANETs, offers very promising applications, e.g., two members of a group of tourists who want to share a video transmitted through the MANET they form, a video-streaming service deployed over a MANET where users watch a film, among other examples. On the other hand, social web technologies, where people actively interact online with others through social networks, are leading to a socialization of networks. Information of interaction among users is being used to provide socially-enhanced software. To achieve this, we need to know the strength of the relationship between a given user and each user they interact with. This strength of the relationship can be measured through a concept called tie strength (TS), first introduced by Mark Granovetter in 1973. In this article, we modify our previous proposal named multipath multimedia dynamic source routing (MMDSR) protocol to include a social metric TS in the decisions taken by the forwarding algorithm. We find a trade-off between the quality of service (QoS) and the trust level between users who form the forwarding path in the MANET. Our goal is to increase the trust metric while the QoS is not affected significantly.

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The Evolution of Your Success Lies at the Centre of Your Co-Authorship Network

Cited by 20 publications

References 25 publications

Gender Disparities in Science? Dropout, Productivity, Collaborations and Success of Male and Female Computer Scientists

Gender Disparities in Science? Dropout, Productivity, Collaborations and Success of Male and Female Computer Scientists

The Underlying Social Dynamics of Paradigm Shifts

QSMVM: QoS-Aware and Social-Aware Multimetric Routing Protocol for Video-Streaming Services over MANETS

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