***** To join INSNA, visit http://www.insna.org ***** *What*: Two 3-hour workshops on ego-network analysis with R *Where*: XXXV Sunbelt Conference of the International Network for Social Network Analysis (INSNA) – June 23 to June 28, 2015 – Brighton, UK - http://sunbelt2015.org *When*: Tuesday June 23, 8am – 11am; 11:30am – 14:30pm *Length*: Two 3-hour workshops. The two workshops are consecutive, however attendants can register for either one separately. *Technology*: Attendants will need a laptop with R (http://cran.r-project.org) and R-Studio (www.rstudio.com) installed. The workshop will introduce the R package egonetR for ego-network data import and analysis. *Background*: No previous familiarity with ego-network research is required. Some familiarity with R is an advantage, but not necessary. *Cost*: Details on regular and student rates are available at http://insna.org/sunbelt2015/?page_id=831 More information is available at http://rego.tillt.net. *1. Introduction to ego-network analysis with R (data collection and management)* ==================================================================== /Raffaele Vacca/, University of Florida [log in to unmask] Full abstract: http://insna.org/sunbelt2015/?page_id=746 This workshop will introduce attendants to ego-network research, with a special emphasis on research design and ego-network data types. We will cover the usage of R for the management of ego-network data, network visualization, and basic procedures to analyze the composition and structure of ego-networks. We will focus on the main facilities available in R to manage ego-network data and run ego-network analyses in batch: loops (for, while, repeat), the “apply” family of functions (apply, lapply, sapply, tapply, mapply), and the plyr package for the “Split-Apply-Combine” analysis strategy. We will use “igraph” and “network”, the two main packages for network analysis in R. The workshop is divided in two parts. A shorter introductory part will discuss ego-network research design and data, particularly as opposed to socio-centered network research. A subsequent, longer part will be a hands-on lab where participants will run R code on real-world data. This second part will use data and R code from actual ego-network research projects. *2. Advanced ego-network analysis with R (analytical procedures)* ================================================================= /Till Krenz/, Otto-von-Guericke University [log in to unmask] /Andreas Herz/, University of Hildesheim [log in to unmask] Full abstract: http://insna.org/sunbelt2015/?page_id=228 Ego-network analysis can be conducted at two different levels: the alter level (ego-alter-relationships) and the network level (structure of the overall ego-centered network). The first part of the workshop will introduce SNA measures at the alter level (e.g. multiplexity) and the network level (size, density, EI-Index, diversity, proportions of ties with specific attributes). A second part will treat multivariate analyses, both at the network level and the alter level. At the network level we focus on standard regression and cluster analysis. In standard regression analysis, network measures can be used as dependent or independent variables, just as any other characteristic of ego. With regression we can analyze if networks differ by gender or age, or we can ask if network characteristics explain differences in egos’ attributes. With cluster analysis we introduce a way to find groups of ego-networks with similar patterns in their network-level information. At the level of the analysis of ego-alter dyads we give an introduction to multilevel analysis. Multilevel analysis accommodates for the nested nature of alter-level data and enables an overall view on the statistical association among dyad attributes. -- * Raffaele Vacca * Research Assistant Professor College of Nursing ∙ Clinical and Translational Science Institute ∙ Bureau of Economic and Business Research University of Florida ✎ Ayers Medical Plaza, 720 SW 2nd Ave #150 ∙ Gainesville ∙ FL 32601 ✆ +1 (352) 392-2908 x221 ∙ +1 (352) 273-6010 ☞ florida.academia.edu/raffaelevacca ✉ [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.