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Events as platforms, networks, and communities

This introduction to the special issue on events as platforms, networks, and communities reviews recent research on these subjects. It outlines the previous work of the ATLAS Events Group in developing a “network approach to events,” as well as conceptualizing the differences between event networks and platforms.

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Zicht op informele kennis. Sociaal leerkapitaal van de organisatie in kaart gebracht

Hoe krijg je meer zicht op de informele kennisdeling in de organisatie, zodat je er beter op in kunt spelen en het kennisgebruik efficiënter kunt maken? Een onderzoeksexperiment laat zien hoe je de informele contacten die medewerkers hebben om kennis te delen, letterlijk in kaart kunt brengen.

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Zicht op informele kennis. Sociaal leerkapitaal van de organisatie in kaart gebracht

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The social visuality of distant suffering

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Machine Vision and Social Media Images: Why Hashtags Matter

Studying images in social media poses specific methodological challenges, which in turn have directed scholarly attention toward the computational interpretation of visual data. When analyzing large numbers of images, both traditional content analysis as well as cultural analytics have proven valuable. However, these techniques do not take into account the contextualization of images within a socio-technical environment. As the meaning of social media images is co-created by online publics, bound through networked practices, these visuals should be analyzed on the level of their networked contextualization. Although machine vision is increasingly adept at recognizing faces and features, its performance in grasping the meaning of social media images remains limited. Combining automated analyses of images with platform data opens up the possibility to study images in the context of their resonance within and across online discursive spaces. This article explores the capacities of hashtags and retweet counts to complement the automated assessment of social media images, doing justice to both the visual elements of an image and the contextual elements encoded through the hashtag practices of networked publics.

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Machine Vision and Social Media Images: Why Hashtags Matter

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The Annual Conference on the Human Factor in Cybercrime

The Annual Conference on the Human Factor in Cybercrime is a small and specialised scientific event that aims to bring together scholars from around the world to present their research advances to a select audience. Its dynamic and linear format favours group discussions since all contributions are heard by all the attendants. This, together with its tailored social scheme, promotes interaction between members, which—in turn—leads to new collaborations. However, it has not yet been analysed whether the design of the conference actually encourages varied participation and fosters collaborative networks among its participants. The purpose of this chapter is to assess participation in the 2018 and 2019 editions to determine whether this is the case. Using descriptive analyses, here we show how participation in the conference has varied and examine the composition of the collaboration networks among the participants. The results show an increased and more diverse participation in the 2019 meeting along with a greater presence of stakeholders. Furthermore, the findings reveal that members of previously established organisations play an important role in cohering the network. Yet few connections exist between academia and practice. A further analysis of the strengths and weaknesses identified in the two editions of the conference serves to elaborate a series of recommendations for future editions.

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Events in the network society : the role of pulsar and iterative events

This conceptual article argues for a broader view of the role of events in social systems. When analyzed as social phenomena, events can be seen as social actors that have the potential to both sustain and transform social systems. The maintenance of social systems is often reliant on iterative events, regularly occurring celebrations that tend to confirm social structures. In contrast, pulsar events have the potential to transform social structures. In this sense events can be seen as actors that have important influences on social systems, particularly in linking localized small world networks with the global space of flows. These ideas are explored through the case of Barcelona, which illustrates the interplay between these different types of events in their total portfolio, and how the extension of ritual in the sense of Collins can also contribute to the generation of new relationships and practices in the contemporary network society. Barcelona is examined as an eventful city in which the alternation of continuity through iterative events and change through pulsar events contributes to increasing the network effects of events.

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Implementation of an interprofessional collaboration in practice program

Background: Due to multimorbidity and geriatric problems, older people often require both psychosocial and medical care. Collaboration between medical and social professionals is a prerequisite to deliver high-quality care for community-living older people. Effective, safe, and person-centered care relies on skilled interprofessional collaboration and practice. Little is known about interprofessional education to increase interprofessional collaboration in practice (IPCP) in the context of community care for older people. This study examines the feasibility of the implementation of an IPCP program in three community districts and determines its potential to increase interprofessional collaboration between primary healthcare professionals caring for older people. Method: A feasibility study was conducted to determine the acceptability and feasibility of data collection and analysis regarding interprofessional collaboration in network development. A questionnaire was used to measure the learning experience and the acquisition of knowledge and skills regarding the program. Network development was assessed by distributing a social network survey among professionals attending the program as well as professionals not attending the program at baseline and 5.5 months after. Network development was determined by calculating the number, reciprocity, value, and diversity of contacts between professionals using social network analysis. Results: The IPCP program was found to be instructive and the knowledge and skills gained were applicable in practice. Social network analysis was feasible to conduct and revealed a spill-over effect regarding network development. Program participants, as well as non-program participants, had larger, more reciprocal, and more diverse interprofessional networks than they did before the program. Conclusions: This study showed the feasibility of implementing an IPCP program in terms of acceptability, feasibility of data collection, and social network analysis to measure network development, and indicated potential to increase interprofessional collaboration between primary healthcare professionals. Both program participants and non-program participants developed a larger, more collaborative, and diverse interprofessional network.

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Implementation of an interprofessional collaboration in practice program

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Radical networks and terrorist action: the importance of social relationships and network positions

In most models on terrorism, interaction with other radicals is a key factor. However, systematic empirical evidence that radical ties affect behaviour is scarce. Our access to detailed police information allows us to apply Social Network Analysis (SNA) on a Dutch Salafi-Jihadi network and analyse the social relationships and network positions of 80 actors, out of whom 20 turned to terrorist acts. The results suggest that ties to leaders and terrorist offenders, co-attendance of radicalising settings and greater structural embeddedness relate to the likelihood of individual actors turning to acts of terrorism. However, we also find some individual attributes that may offer competing explanations. In this paper we discuss our findings and address how future research may provide further insights into an important issue for agencies involved in countering terrorism: which radical actors, if any, are more likely to turn to acts of terrorism?

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Radical networks and terrorist action: the importance of social relationships and network positions

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Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review

Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.

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Events as platforms, networks, and communities

Zicht op informele kennis. Sociaal leerkapitaal van de organisatie in kaart gebracht

The social visuality of distant suffering

Machine Vision and Social Media Images: Why Hashtags Matter

The Annual Conference on the Human Factor in Cybercrime

Events in the network society : the role of pulsar and iterative events

Implementation of an interprofessional collaboration in practice program

Radical networks and terrorist action: the importance of social relationships and network positions

Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review

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Effectieve kennisdeling in robotiseringsprojecten

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Events as platforms, networks, and communities

Zicht op informele kennis. Sociaal leerkapitaal van de organisatie in kaart gebracht

The social visuality of distant suffering

Machine Vision and Social Media Images: Why Hashtags Matter

The Annual Conference on the Human Factor in Cybercrime

Events in the network society : the role of pulsar and iterative events

Implementation of an interprofessional collaboration in practice program

Radical networks and terrorist action: the importance of social relationships and network positions

Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review

Projects 1

Effectieve kennisdeling in robotiseringsprojecten