Urban migrant networks and everyday belonging in urban marketplaces

Thesis Abstract

Urban migrant communities in metropolitan marketplaces constitute dynamic social ecologies where belonging emerges from everyday practices, reciprocity networks, and reciprocal informal economies. This study addresses the problem of how migrant networks shape everyday belonging, social capital, and inclusion/exclusion dynamics within bustling urban marketplaces that function as liminal spaces of transit, entrepreneurship, and cultural exchange. The aim is to illuminate the mechanisms through which migrant actors cultivate sense of place, trust, and mutual aid amid regulatory uncertainty, language barriers, and differentiated urban geographies. Specific objectives are (1) to map the structure and reach of migrant networks operating within three major market precincts; (2) to examine how daily interactions, sharing of information, and informal credit practices contribute to feelings of belonging and perceived security; (3) to assess how gender, age, and migrant status (recent arrival vs. established resident) mediate network utilization and belonging; (4) to analyze the impact of market governance and state-by-market policies on network resilience and inclusion; and (5) to develop a theoretically informed model linking social networks, ordinariness of daily routines, and belonging outcomes. The study adopts a mixed-methods research design, triangulating qualitative ethnography and quantitative social network analysis (SNA) with a cross-sectional survey. The population comprises migrant stallholders, traders, and informal workers in three diversified urban marketplaces within a large metropolitan city. A purposive and snowball sampling approach will recruit 250 survey respondents, supplemented by 40 in-depth interviews and 12 focus groups stratified by migrant status and gender. Data collection instruments include a structured questionnaire measuring social network size, tie strength, trust, perceived safety, and belonging scales; semi-structured interview guides exploring networks, reciprocity, and everyday practices; and observation checklists documenting market routines, crowding, governance interactions, and informal lending. Validity and reliability will be established through pilot testing (n=30) and Cronbach’s alpha for multi-item scales (aiming for ? ? .70). Data analysis employs social network analysis (degree centrality, betweenness, clustering, and multiplex ties) using UCINET and Gephi, alongside thematic analysis of interview and focus group transcripts with NVivo. Regression modeling will test hypotheses linking network characteristics to belonging outcomes, controlling for demographic variables; a structural equation model will assess the mediating role of trust and reciprocity in the network-belonging relationship. An iterative coding framework grounded in Social Capital Theory and the Theory of Migrant Belonging will guide interpretation, with triangulation across methods to enhance construct validity. Expected findings indicate that large, dense, multiplex networks with strong kinship and co-ethnic ties correlate positively with higher belonging scores, perceived social support, and lower perceived threat from authorities. Informal financial practices, information sharing, and joint problem-solving are anticipated to significantly mediate belonging, particularly for women and recent arrivals who rely on trusted intergenerational brokers. Conversely, market governance forms that restrict movement, impose rigid stalls, or reframe informal lending as illegitimate are expected to dampen network resilience and belonging. The study is poised to reveal how everyday routines—shared meals, mutual aid in times of supply shocks, and collective risk management—constitute a practical ethics of belonging that operates independently of formal recognition. Contribution to knowledge includes refining the conceptualization of belonging within urban informal economies, integrating Social Capital Theory with urban anthropology perspectives on everyday life, and offering a context-sensitive empirical model of migrant belonging in market spaces. The analysis will extend theory on translocal networks by detailing how local marketplaces function as incubators of social cohesion and cultural adaptation for migrant populations, while also highlighting policy implications for inclusive urban governance, licensing practices, and support services designed to enhance legitimate integration without eroding informal social infrastructures. The study concludes with recommendations for market authorities and civil society organizations to foster inclusive networks formal recognition of trusted intermediaries, inclusive access policies for stalls, language-support services, and community-led trust-building initiatives that leverage existing relational capital to promote safety, belonging, and economic resilience among migrant traders.