Those wishing to use the R programming language for network analysis now have a plethora of choices when it comes to libraries. In this workshop, we survey the main packages used for network data management, analysis, and visualization. We will cover 1) importing network data (from actual files), 2) network objects and attributes, 3) computing basic descriptives (attribute distribution, mixing matrix, density, degrees, betweenness, closeness), and 4) visualization (layouts, node aesthetics). These will be done side by side for the different packages, as well as discussion of the strengths and weaknesses of each. We conclude with time for attendees to work either on toy datasets or with their own data with help from instructors. This workshop is a unification of workshops "Using R and 'igraph' for Social Network Analysis" and "Introduction to Social Network Analysis with R and statnet" that has been offered on Sunbelt and EUSN conferences since 2011. It will serve as an introduction for those wishing to take "An introduction to ERGM with Statnet", or other Statnet-related workshops on the program.

There have been calls for system-level interventions that target the redistribution of power within communities to achieve health equity. To develop and assess the effectiveness of these interventions, there is a need for approaches that engage multiple actors within the system to identify and evaluate who has different types of power, how power operates, and how power changes over time. Participatory social network mapping approaches can be used to map the landscape of power and social capital within communities while fostering reflections on how these dynamics shape opportunities to realize health equity. This workshop will review and provide demonstrations of two participatory social network mapping approaches applied within a community-based food systems change intervention and a coalition-based opioid fatality reduction intervention. The session will begin with an overview of the methods used to frame power dynamics within these two different interventions, including terminology applied to define different types of power influencing these two health equity interventions. Next, we will practice applying these methods using egocentric social network analysis to explore connections to different sources of power among local food justice leaders and opioid-focused coalitions. We will examine how these power networks can be understood based on their trustworthiness, collaboration, and influence and how these dimensions of power influence intervention pace, equity, and efficiency. Participants will create their own power maps and explore how these can be analyzed in R. Finally, we will explore how these methods were used to guide food system changes focused on promoting nutrition equity and to inform sustainability of opioid fatality reduction strategies within diverse community settings.

A brief description of your workshop (max. 500 words) This workshop provides a roadmap for understanding the concept of social capital with practical tools to help organize and understand the different conceptual and theoretical approaches. It is designed to rapidly introduce the concept and its use in research, helping avoid weeks or even months of reading. It will help you quickly navigate the different meanings and conceptual approaches, directing you to the best approach for your research or interest and giving you reference lists and readings. Social capital is a complex concept with many different meanings and conceptual approaches that can be difficult and complicated to understand and apply. The literature on the topic is incredibly broad and diverse, presenting an ongoing challenge for anyone interested in using the concept in research or practice. The concept has numerous theoretical foundations, making reading the literature challenging, even for experienced scholars. Most people reading the literature report feeling confused and uncertain, and everyone can benefit from a deeper understanding of the theories of social capital. Over the last 20 years of working on the concept of social capital, Tristan Claridge, the facilitator of this workshop, has developed numerous typologies for understanding the concept. His work has sought to identify the differences and similarities of different approaches to social capital, and he has constantly asked difficult questions to explore the deeper meanings and theoretical foundations. There are no “silver bullets” and no quick simple solutions that are appropriate for every discipline and every application. But this workshop guides and directs you. Ultimately, the goal of this workshop is to help you understand the concept better, apply it more effectively, and save you time in doing so. You will come away with a deeper understanding of the concept of social capital and how to apply it in research or practice. Names and contact information of all organizers Tristan Claridge Director, Institute for Social Capital President, International Social Capital Association Email tristan@socialcapitalresearch.com Phone +61 (0)493 175 542 Length of the workshop (3 or 6 hours) 3 hours Maximum number of attendees 50

A significant proportion of the population enters adulthood having already faced mental health challenges. These issues during adolescence have enduring effects on health, education, and socio-economic outcomes throughout life. Current approaches to adolescent mental health often fail to capture the intricate social and emotional contexts of young people. Traditional methods tend to focus on individuals in isolation, neglecting the broader social networks that play a crucial role in mental health. Unsituated social network analysis may fail to account for how relationships vary across time and space within social settings. This workshop will introduce the SOCially sITuated Systems (SOCITS) approach to measuring and modelling adolescent mental health. The methodology was developed with a focus on stress and loneliness in schools, but the approach can be applied to other constructs, behaviours and social settings. SOCITS integrates qualitative, systems thinking workshops, Agent Based Modelling and quantitative survey data; taking a co-production approach with young people and school staff. Qualitative and workshop data are used to inform the development of rules for an Agent Based Model, and also to develop situated survey items that are tailored to the places, interactions, and social situations that are relevant to specific schools and the topic of interest. The workshop will introduce participants to the conceptual integration of complexity theory and situated cognition theory; outline approaches for study design; and provide an overview of the range of analytical options, R packages, tutorial datasets and scripts available when analysing situated cognition and situated network data. Workshop learning objectives: 1. Introduce participants to relevant concepts and theories underpinning the SOCITS approach. 2. Explore qualitative methods that can be employed in identifying stressful situations in schools and ways that these can be improved. 3. Demonstrate how workshop methods can be applied to co-produce situated assessment and social network survey items. 4. Apply agent-based models to model social and spatial dynamics influencing wellbeing in schools.