The visual sociogram in qualitative and mixed-methods research

The paper investigates the place of visual tools in mixed-methods research on social networks, arguing that they can not only improve the communicability of results, but also support research at the data gathering and analysis stages. Three examples from the authors’ own research experience illustrate how sociograms can be integrated in multiple ways with other analytical tools, both quantitative and qualitative, positioning visualization at the intersection of varied methods and channelling substantive ideas as well as network insight in a coherent way. Visualization also facilitates the participation of a broad range of stakeholders, including among others, study participants and non-specialist researchers. It can support the capacity of qualitative and mixed-methods research to reach out to areas of the social that are difficult to circumscribe, such as hidden populations and informal organisations. On this basis, visualization appears as a unique opportunity for mixing methods in the study of social networks, emphasizing both structure and process at the same time

Learners on the periphery: lurkers as invisible learners

Lurkers, who are also known as silent learners, observers, browsers, read-only participants, vicarious learners, free-riders, witness learners, or legitimate peripheral participants (our preferred term), tend to be hard to track in a course because of their near invisibility. We decided to address this issue and to examine the perceptions that lurkers have of their behaviour by looking at one specific online learning course: CLMOOC. In order to do this, we used a mixed methods approach and collected our data via social network analysis, online questionnaires, and observations, including definitions from the lurkers of what they thought lurking was. We then analysed the data by using social network and content analyses and interpreted the research findings using the concept Community of Practice, with the Pareto Principle used to delimit types of learner. Our research findings revealed that lurking is a complex behaviour, or set of behaviours, and there isn’t one sole reason why lurkers act the ways that they do in their respective communities. We concluded that for a more participatory community the more active, experienced or visible community members could develop strategies to encourage lurkers to become more active and to make the journey from the periphery to the core of the community

Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis

Although scholars have argued that people actively shape and reshape their social networks (e.g., Parks, 2016), this aspect of relational development has received little attention. This study sought to determine if people’s self-perceptions of interpersonal communication skills translated into behavior that led to relationship formation in a new network. A 9-month longitudinal social network analysis (N = 94) of the residents of a first-year university residence hall using Facebook tie data was conducted to assess network changes. Results indicate that both self-perceived network centrality in a hypothetical friendship sociogram (Smith & Fink, 2015) and self-reported connector scores (Boster et al., 2011) are good longitudinal predictors of relationship development. Those who began by self-identifying as central, became central

Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors

While visual comparison of directed acyclic graphs (DAGs) is commonly encountered in various disciplines (e.g., finance, biology), knowledge about humans' perception of graph similarity is currently quite limited. By graph similarity perception we mean how humans perceive commonalities and differences in graphs and herewith come to a similarity judgment. As a step toward filling this gap the study reported in this paper strives to identify factors which influence the similarity perception of DAGs. In particular, we conducted a card-sorting study employing a qualitative and quantitative analysis approach to identify 1) groups of DAGs that are perceived as similar by the participants and 2) the reasons behind their choice of groups. Our results suggest that similarity is mainly influenced by the number of levels, the number of nodes on a level, and the overall shape of the graph.Comment: Graph Drawing 2017 - arXiv Version; Keywords: Graphs, Perception, Similarity, Comparison, Visualizatio

Proximity, Communities, and Attributes in Social Network Visualisation

The identification of groups in social networks drawn as graphs is an important task for social scientists whowish to know how a population divides with respect to relationships or attributes. Community detection algorithms identify communities (groups) in social networks by finding clusters in the graph: that is, sets of people (nodes) where the relationships (edges) between them are more numerous than their relationships with other nodes. This approach to determining communities is naturally based on the underlying structure of the network, rather than on attributes associated with nodes. In this paper, we report on an experiment that (a) compares the effectiveness of several force-directed graph layout algorithms for visually identifying communities, and (b) investigates their usefulness when group membership is based not on structure, but on attributes associated with the people in the network. We find algorithms that clearly separate communities with large distances to be most effective, while using colour to represent community membership is more successful than reliance on structural layout

Telling network stories: researching migrants’ changing social relations in places over time

This article is situated at the nexus of migration research and qualitative social network analysis (SNA). While migration scholars often engage with networks simply as metaphors, I go further by examining how a thorough engagement with qualitative SNA can contribute to migration research in at least three key ways. First, exploring changing relational ties over time and across different places, including transnationally, I demonstrate that qualitative SNA offers new insights into how migrants make sense of these dynamic relationships. Second, following Dahinden (2016), I examine how using networks as a data collection method can help to unsettle the a priori ethnic lens in researching migration. Moreover, building on the pioneering work of network scholars such as Mische and White, I aim to make a methodological contribution by analysing how social networks are co-constructed as stories and pictures in research encounters

Active learning: strategies that help first graders transition and build literacy skills

The purpose of this research inquiry was to investigate what happens when first grade students that have not had the benefits of Preschool or Kindergarten education engage in active learning activities. The study was aimed at looking into how such activities can help with the transition into formal education, as well as with building the grounding literacy skills necessary for success in elementary education. The study was conducted in a first grade classroom with 31 students. The qualitative research paradigm was followed and data collected included student surveys, a Sociogram, student work, teacher observations, student interviews, and observational field notes. The classroom environment (in regards to setup, arrangement, and displays) as well as the effects of setting a safe and comfortable learning community were also importantly observed during this study. Findings indicate that: 1. Active learning had positive effects on student self-perception, 2. active learning had a positive impact on students\u27 perception of literacy, 3. active learning strategies and activities helped improve literacy scores, and 4. active learning helped create an effective learning community

Leadership Characteristics and Team Outcomes in the Development of a Marketing Web Page

Team structures are changing under the pressures of e-commerce and globalization. Today teams have to manage the challenges of working across functional boundaries, such as marketing and web development. In such an environment, research in the disciplines of management and psychology have found that shared leadership among team members may be superior to traditional leadership by a single team member, but this notion has not been tested in the contexts of marketing and web development. This paper presents the results of an empirical study showing that teams with shared leadership exhibited better performance and greater member satisfaction than teams with clear leaders. In addition, no relationship was found between the education, experience, Internet self-efficacy, or personal style of leaders and team outcomes of structure, performance, or satisfaction. This research suggests that the superiority of shared leadership found in the areas of management and psychology is applicable to teams in technical areas, such as web development and marketing. The reported study confirms previous research and applies it in an under-research context, marketing web page development