Seungyoon Lee

TimeMatrix: Analyzing Temporal Social Networks Using Interactive Matrix-Based Visualizations

Visualization plays a crucial role in understanding dynamic social networks at many different levels (i.e., group, subgroup, and individual). Node-link-based visualization techniques are currently widely used for these tasks and have been demonstrated to be effective, but it was found that they also have limitations in representing temporal changes, particularly at the individual and subgroup levels. To overcome these limitations, this article presents a new network visualization technique, called “TimeMatrix,” based on a matrix representation. Interaction techniques, such as overlay controls, a temporal range slider, semantic zooming, and integrated network statistical measures, support analysts in studying temporal social networks. To validate the design, the article presents a user study involving three social scientists analyzing inter-organizational collaboration data. The study demonstrates how TimeMatrix may help analysts gain insights about the temporal aspects of network data that can be subsequently tested with network analytic methods.

Individuals' personal network characteristics and patterns of Facebook use: A social network approach

Using the theoretical framework of ego-centric networks, this study examines the associations between the characteristics of both Facebook-specific and pre-existing personal networks and patterns of Facebook use. With data from an ego-network survey of college students, the study discovered that various dimensions of Facebook-specific network characteristics, such as multiplexity, proximity, density, and heterogeneity in race, were positively associated with usage patterns, including time spent on Facebook, posting messages, posting photos, and lurking. In contrast, network characteristics of pre-existing relationships, such as density and heterogeneity in race, were negatively associated with Facebook usage patterns. Theoretical implications and limitations were discussed.

College Students' Motivations for Facebook Use and Psychological Outcomes

Based on the uses and gratifications framework, this study examined associations between motivations for using Facebook among college students, their concern for impression management, Facebook intensity, and psychological outcomes including sense of belonging and satisfaction with campus life. Using data from an online survey (N = 246), the study found that four motivations—entertainment, relationship maintenance, self-expression, and communication—together with impression management, were significantly associated with Facebook intensity. However, the impacts of Facebook intensity on psychological consequences were relatively limited. Theoretical implications of the study were discussed.

Advancing Research in Organizational Communication Through Quantitative Methodology

This article showcases current best practices in quantitative organizational communication research. We emphasize their value in exploring issues of the day and their relation to other research approaches. Materials are presented around four themes: systematic development and validation of measures, including the use of mixed methods; multiple levels of analysis; the study of change and development over time; and relationships among people, units, organizations, and meanings.

Midwives' Cell Phone Use and Health Knowledge in Rural Communities

This study developed and tested a theoretical model that explains the underlying process through which the use of cell phones can facilitate the capacity of community health care workers in developing regions. On the basis of a study conducted on 223 midwives in rural regions of Indonesia, the results showed that cell phone use was positively associated with midwives’ access to institutional and peer information resources. Access to institutional resources was positively associated with midwives’ health knowledge. Further, access to peer resources was associated with higher self-efficacy, which was positively associated with health knowledge. The study provides implications for technology intervention strategies targeted to community health workers in rural communities.

Visual Analytics for Multimodal Social Network Analysis: A Design Study with Social Scientists

Social network analysis (SNA) is becoming increasingly concerned not only with actors and their relations, but also with distinguishing between different types of such entities. For example, social scientists may want to investigate asymmetric relations in organizations with strict chains of command, or incorporate non-actors such as conferences and projects when analyzing coauthorship patterns. Multimodal social networks are those where actors and relations belong to different types, or modes, and multimodal social network analysis (mSNA) is accordingly SNA for such networks. In this paper, we present a design study that we conducted with several social scientist collaborators on how to support mSNA using visual analytics tools. Based on an openended, formative design process, we devised a visual representation called parallel node-link bands (PNLBs) that splits modes into separate bands and renders connections between adjacent ones, similar to the list view in Jigsaw. We then used the tool in a qualitative evaluation involving five social scientists whose feedback informed a second design phase that incorporated additional network metrics. Finally, we conducted a second qualitative evaluation with our social scientist collaborators that provided further insights on the utility of the PNLBs representation and the potential of visual analytics for mSNA.

Communication and Cybercoping: Coping With Chronic Illness Through Communicative Action in Online Support Networks

Computer-mediated communication, specifically blogs, has expanded the range of the communicative action of patients with chronic disease from information seeking to information forwarding. The authors examine the effects of these 2 types of communicative action on perceived affective and physical coping outcomes. Using a survey dataset of 254 chronic disease patients, the authors tested 2 models using structural equation modeling: first, the effects of communicative action about chronic illness on coping outcomes; and second, the mediating role of emotion-focused and problem-focused coping processes. Findings indicate overall positive effects of communicative action on coping processes and outcomes, yet with different magnitudes of effects depending on the dimensions of communication behavior, the coping process, and outcome. Implications for patients and health care providers are discussed.

Research Methods for Studying Evolutionary and Ecological Processes in Organizational Communication

In a previous MCQ article, Monge et al. overviewed the fundamental concepts and processes of evolutionary theory and their applications to key issues in organizational communication. This article extends that work by providing an overview of research tools for studying organizational ecology and evolution, including (a) the variation-selection-retention sequence, (b) the likelihood of events occurring over a period of time (event history analysis), (c) transition sequence of populations from one state to another (sequence analysis), (d) relationships among nodes in networks over time (network analysis), (e) simulation of complex relationships and interactions (computational modeling), (f) changes in populations’ fitness for survival (NKC models), and (g) competitive interdependence among populations over time (predator—prey models). We conclude with a brief review of graphical and qualitative methods.

Magazine exposure, tanned women stereotypes, and tanning attitudes☆

This study investigated whether magazine exposure is related to stereotypical beliefs about tanned women. A survey of White college women (n=205) assessed their exposure to beauty/fashion and health/fitness magazines. Outcome variables were the beliefs that tanned women are fashionable, fit, and shallow. Attention to the tanned womens images in health magazines positively predicted the belief that tanned women are fit and that tanned women are shallow; in contrast, attention to the images in beauty magazine negatively predicted the belief that tanned women are fit. Number of beauty magazines women read negatively predicted the belief that tanned women are shallow. The belief that tanned women are fit was unrelated, but the belief that tanned women are shallow was negatively related, with tanning attitudes.

Modeling Social Network Influence on Joint Trip Frequency for Regular Activity Travel Decisions

Interest in activity-based travel demand modeling has recently increased significantly because of the level of accuracy offered by this type of modeling and its applicability in travel behavior research. Understanding the linkage between social influence and travel behavior enables efficient characterization of discretionary activities that account for a major fraction of total urban trips. In particular, some recent studies looked at the social network structure of individuals and measured the influence that social network members have on the performance of social activities. However, it is expected that the process of taking joint trips (trips that individuals take with their network members) has an intrinsic social context for different activities in general (not only social activities). In this regard, this study used an egocentric (i.e., personal) network approach to explore empirically the influence of personal network characteristics on the frequency of weekly trips that individuals (egos) took part in with their personal network members (alters). With the help of zero-inflated Poisson models and egocentric social network data, the results of this study present a framework for predicting the number of joint trips for six types of activities: work, eating out, shopping, recreation, study, and extra curricular activities. Estimation findings suggest that personal network measures such as network density, homophily, heterogeneity, and ego–alter tie attributes have a significant impact on the joint trip-making process, that is, the number of weekly shared trips in which an individual participates. The findings of this study should help practitioners implement targeted policies such as car sharing for various user groups.