Distance Matters to Weak Ties

Workers tend to make inferences about one another's commitment and dedication to work depending on what cues are available to them, affecting worker relationships and collaboration outcomes. In this work, we investigate how remote work affects workers' perceptions of their colleagues with different levels of social connectivity, commonly referred to as strong ties and weak ties. When working remotely, workers' perceptions of weak ties may suffer due to the lack of in-person interaction. On the other hand, workers' inferences about their strong ties may also be impacted by losing richer communication cues, even though they had more connections with their strong ties than weak ties. This study explores how remote workers make inferences about engagement levels of and willingness to collaborate with weak ties compared to strong ties. We used a mixed-methods approach involving survey data, experience sampling, and in-depth interviews with 20 workers from different companies in Taiwan. Results showed that workers depended on one-on-one synchronous tools to infer the engagement level of strong ties but used group-based communication tools to infer the engagement level of weak ties. Interestingly, the absence of cues in remote workplaces exacerbated prior impressions formed in the physical office. Furthermore, remote work led workers to develop polarized perceptions of their respective ties. We discuss how characteristics of computer-mediated communication tools and interaction types interplay to affect workers' perceptions of remote colleagues and identify design opportunities for helping remote workers maintain awareness of weak ties.

Parents’ economic migration and the psychological well-being of their Polish children

Aim: The aim of the study was to analyze mental well-being, especially anxiety and a sense of loneliness of Polish children temporarily separated from their parent or parents who are migrating for economic reasons, and children who went abroad with their parents. Methods: Explicit Anxiety Scale was used to measure anxiety “Jaki Jesteś?” (“What are you like?” by Skrzypek and Choynowski) (textbook by Zwierzyńska, Matuszewski, 2007) and the Polish versions of the UCLA Loneliness Scale were used to measure loneliness (by Russell, Peplau, & Cutrona, adapted by Rembowski, 1992). Test results were supplemented with an interview with children. 320 children from different types of migrant families participated in the study. Results: the highest level of anxiety is felt by children temporarily separated from their mother, and children who, together with their parents, went abroad and find it difficult to adapt to the new environment. The duration of emigration was an important factor. Most children in the sample ‒ regardless of the type of migratory family ‒ feel lonely, do not feel strong ties with close relatives, do not feel understood by them, do not feel associated with a peer group. Conclusion: The results of the research indicate the necessity to take actions in the area of institutional and legal as well as psychological support for families and children both in the situation of going abroad and returning from migration. The most important directions of activities concerning the creation of environmental forms of separation compensation and the environmental assistance system for the migration family are indicated at the stage of prevention related to people planning trips.

The effect of retirement on social relationships

We analyze the causal effect of retirement on individual social relationships using data from the Survey of Health, Ageing and Retirement in Europe. We find that retirement changes the composition of the individual’s social network, inducing a substitution between weak (friends or colleagues) and strong ties (family), along with an increase in the intensity of the surviving ties, and there is no effect on the network’s size. These changes in the social network’s composition are associated with a higher satisfaction and stronger relationships. Interestingly, females reduce the share of friends while males that of colleagues.

Relations between Brazil and Spain under the Bolsonaro’s government

In this article the author examines in detail the bilateral relations between Spain and Brazil during the presidency of Jair Bolsonaro. In addition, the subject of this article is the opposition of EU governments to the environmental policies of the South American country and the disastrous policies of the Brazilian authorities in the fight against the COVID-19 pandemic. President Bolsonaro’s negligence of climate change and Amazon deforestation has prompted European governments to openly oppose the ratification of the Mercosur – EU Free Trade Agreement, which was signed in 2019 after 20 years of negotiations. In May 2016, the parties agreed on reciprocal terms, resulting in signing of the agreement. It also included the exchange of goods and services, essential investments and public procurements. All this was done in the context of a global policy of protectionism amid a weakening role of the WTO as a supporter of the trade liberalization process. Despite its success, countries such as France, Austria and the Netherlands stand against the Mercosur – EU trade deal, which can halt its ratification. The Spanish government, on the contrary, is lobbying for ratification of the agreement. Madrid, interested in benefiting from the Bolsonaro government’s liberal economic policies, maintains strong ties with its South American partner. The author analyzes the transformation of Spain from a relatively irrelevant partner of Brazil in the 20th century to one of the main investors directing significant resources to the Brazilian economy. We also assess the results and challenges of the Brazil – Spain strategic partnership in a broader context of the Brazil – EU relations.

Weak and strong ties and its connection to experts' problem-solving styles in scaffolding students' PBL activities on social media

Background: Studies have acknowledged that social media enables students to connect with and learn from experts from different ties available in the students’ personal learning environment (PLE). Incorporating experts into formal learning activities such as scaffolding problem-solving tasks through social media, allows students to understand how experts solve real-world problems. However, studies that evaluate experts’ problem-solving styles on social media in relation to the tie strength of the experts with the students are scarce in the extant literature. This study aimed to explore the problem-solving styles that the experts portrayed based on their ties with the students in problem-based learning (PBL) on Facebook. Methods: This study employed a simultaneous within-subject experimental design which was conducted in three closed Facebook groups with 12 final year management students, six business experts, and one instructor as the participants. The experts were invited by the students from the weak and strong ties in their PLE. Hinging on the Strength of Weak Ties Theory (Granovetter, 1973) and problem-solving styles (Selby et al., 2004), this study employed thematic analysis using the ATLAS.ti qualitative data analysis software to map the experts’ comments on Facebook. Results: The experts from strong and weak ties who had a prior relationship with the students showed people preference style by being more sensitive to the students' learning needs and demonstrating firmer scaffolding compared to the weak ties' experts who had no prior relationship with the students. Regardless of the types of ties, all experts applied all manner of processing information and orientation to change but the degree of its applications are correlated with the working experience of the experts. Conclusion: The use of weak or strong ties benefited the students as it expedited their problem-solving tasks since the experts have unique expertise to offer depending on the problem-solving styles that they exhibited.

Conflicting Experiences With Welcoming Encounters: Narratives of Newly Arrived Refugees in the Netherlands

Personal networks can be both enabling and constraining in inclusion practices. This study focuses on the contribution of a particular neighborhood initiative for refugees in Amsterdam. Earlier studies have shown that in the specific context of the Netherlands’ welfare state, institutional or citizen initiatives can constrain the actual inclusion of refugees. These studies argue that good intentions do not necessarily lead to inclusion because hierarchal relations reproduce subtle exclusionary structures that limit refugees’ inclusion as equals. Yet, building social contacts with locals is essential for inclusion. This article shows the simultaneous presence of inclusion and exclusion by engaging with narratives from Syrian refugees participating in a six‐month housing project initiated in an Amsterdam neighborhood. Residents and volunteers shared responsibilities for organizing daily life in the project. The result was an unexpected combination of Granovetter’s weak and strong ties, what we call “hybrid ties,” that were embedded within neighborhood dynamics and networks. Despite occasional clashes in expectations, this community‐based housing project enabled specific forms of personal relationships (through hybrid ties) that were essential in refugee participants’ later inclusion in the Netherlands.

ALF-Score++ - Transferability of a Predictive Network-Based Walkability Scoring System

Walkability is an important measure with strong ties to our health. However, there are existing gaps in the literature. Our previous work proposed new approaches to address existing limitations. This paper explores new ways of applying transferability using transfer-learning. Road networks, POIs, and road-related characteristics grow/change over time. Moreover, calculating walkability for all locations in all cities is very time-consuming. Transferability enables reuse of already-learned knowledge for continued learning, reduce training time, resource consumption, training labels and improve prediction accuracy. We propose ALF-Score++, that reuses trained models to generate transferable models capable of predicting walkability score for cities not seen in the process. We trained transfer-learned models for St. John's NL and Montréal QC and used them to predict walkability scores for Kingston ON and Vancouver BC. MAE error of 13.87 units (ranging 0-100) was achieved for transfer-learning using MLP and 4.56 units for direct-training (random forest) on personalized clusters.

ALF-Score++ - Transferability of a Predictive Network-Based Walkability Scoring System

Walkability is an important measure with strong ties to our health. However, there are existing gaps in the literature. Our previous work proposed new approaches to address existing limitations. This paper explores new ways of applying transferability using transfer-learning. Road networks, POIs, and road-related characteristics grow/change over time. Moreover, calculating walkability for all locations in all cities is very time-consuming. Transferability enables reuse of already-learned knowledge for continued learning, reduce training time, resource consumption, training labels and improve prediction accuracy. We propose ALF-Score++, that reuses trained models to generate transferable models capable of predicting walkability score for cities not seen in the process. We trained transfer-learned models for St. John's NL and Montréal QC and used them to predict walkability scores for Kingston ON and Vancouver BC. MAE error of 13.87 units (ranging 0-100) was achieved for transfer-learning using MLP and 4.56 units for direct-training (random forest) on personalized clusters.