What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

Intergenerational Learning in Stockholm County in Sweden

Abstract

This article investigates a practical implementation of strategies for augmenting social capital, as they are being used within the Granddad Project, an intergenerational learning initiative conducted in schools in the Stockholm county area. Indicators for measuring social capital were constructed on the basis of questionnaire data. Responses from a total of 580 pupils, 19 granddads and 27 teachers in 17 schools were collected. Additionally, for the granddads, a qualitative analysis was also carried out using a set of narrative data, reflecting their perceptions and experiences of their work in the schools. The results indicate that the granddads' work itself is forming part of the social capital between individual granddads and the pupils. The pupil responses indicate that boys and girls feel secure in school and that the granddad supports and assists everyone. The responses from the granddads demonstrate that they find their work demanding, but nonetheless rewarding because of the social network it has established for them with the staff and the positive response from the pupils. These results support the assumption that interaction that occurs in the classrooms in schools where there is granddad intervention provides opportunities for increased social capital to be generated on the part of both the younger and the older generation.     

Evaluation of strategies to mitigate contagion spread using social network characteristics

Computer simulation is an effective tool for assessing mitigation strategies, with recent trends concentrating on agent-based techniques. These methods require high computational efforts in order to simulate enough scenarios for statistical significance. The population individuals and their contacts determined by agent-based simulations form a social network. For some network structures it is possible to gain high accuracy estimates of contagion spread based on the connection structure of the network, an idea that is utilized in this work. A representative social network constructed from the 2006 census of the Greater Toronto Area (Ontario, Canada) of 5 million individuals in 1.8 million households is used to demonstrate the efficacy of our approach. We examine the effects of six mitigation strategies with respect to their ability to contain disease spread as indicated by pre- and post-vaccination reproduction numbers, mean local clustering coefficients and degree distributions. One outcome of the analysis provides evidence supporting the design of mitigation strategies that aim to fragment the population into similarly sized components. While our analysis is framed in the context of pandemic disease spread, the approach is applicable to any contagion such as computer viruses, rumours, social trends, and so on.     

Norm formation in social influence networks

I propose a mechanism of norm formation and maintenance that combines classical theory in social psychology on attitudes and social comparisons with a formal network theory of social influence. Underlying the formation of norms is the ubiquitous belief that there is a correct response for every situation and an abiding interest for persons to base their responses on these correct foundations. Given such a belief, a normative evaluation of a feeling, thought or action is likely to arise when persons perceive that their positive or negative attitudinal evaluation is shared by one or more influential others. If interpersonal agreements validate attitudes and transform attitudes into norms, then the development of a theory of norm formation may draw on extant “combinatorial” theories of consensus production that describe how shared attitudes are produced and maintained in groups. The network theory of social influence that I employ is one such combinatorial approach. An important sociological implication of this network theory is that the content of norms must be consistent with the social stratification (or more general pattern of inequality) of interpersonal influences in a group. I illustrate the theory with an analysis of Roethlisberger and Dickson’s (1939) classic observations on the Bank Wiring Observation Room.     

Network analysis in the study of gender differences

This article aims at evaluating how network analysis can contribute to studies on gender differences as also considered in different ethnic contexts. The article shows how the concept of network can be used in new ways and discusses the theoretical foundations of the two main research traditions in this field: (1) on one hand, the anthropological development of social networks within the framework of a situational and processual analytical interpretation; (2) on the other hand, the development of the mathematical and quantitative analysis of the relations between the individual units of the social system, within the framework of a structural analytical interpretation. The paper analyses some of the most interesting contributions of each tradition to show their differences with regard to theoretical elaboration, investigation perspectives and objects, and methods and techniques. It ends by identifying the areas in gender research to which each research tradition can be most appropriately applied.     

Multilevel meta network analysis with application to studying network dynamics of network interventions

In this paper, I introduce new methods for multilevel meta network analysis. The new methods can combine results from multiple network models, assess the effects of predictors at network or higher levels and account for both within- and cross-network correlations of the parameters in the network models. To demonstrate the new methods, I studied network dynamics of a smoking prevention intervention that was implemented in 76 classes of six middle schools in China. The results show that as compared to random intervention (i.e., that targets random students), smokers’ popularity was significantly reduced in the classes with network interventions (i.e., those target central students or students with their friends together). The findings highlight the importance of examining network outcomes in evaluating social and health interventions, the role of social selection in managing social influence, and the potential of using network methods to design more effective interventions.     

Social Support: A Mixed Blessing for Women in Substance Abuse Treatment

Using a personal social network framework, this qualitative study sought to understand how women in substance abuse treatment describe their network members' supportive and unsupportive behaviors related to recovery. Eighty-six women were interviewed from residential and outpatient substance abuse treatment programs. Positive and negative aspects of women's social networks were assessed via open-ended questions. Analysis was guided by grounded theory techniques using three coders. The findings extend classic social support concepts such as emotional, tangible, and informational support. Practice implications are presented in light of the potential roles network members may play in substance use and recovery.     

Exploring nonprofit-business partnerships on Twitter from a network perspective

This exploratory study attempts to understand the role of nonprofits and their position in corporate social responsibility (CSR) partnership communication. Employing social network analysis, the study identifies and interprets the network strategies used by top U.S. nonprofits in communicating about their CSR partnerships on Twitter. The results show that although all the nonprofit issue sectors disclosed extensive business partnerships, they selectively mobilize communication with certain business partners. The present study extends the network approach in a CSR context. Theoretical and practical implications were discussed.     

REPRESENTING GANGS IN THE NEWS: MEDIA CONSTRUCTIONS OF CRIMINAL GANGS

This research, based on a content analysis of 4,445 newspaper articles, examines the images that emerge from stories of criminal gangs and societys responses to them. Eight recurrent themes were identifed. It was discovered that articles devoted to the coverage of gang crimes were outnumbered by stories dealing with various community responses. Articles reporting the results of scientifc research on gangs constituted the smallest category. The results are discussed in light of their importance in the construction of social problems discourse and the maintenance of symbolic power and social control.     

Microsimulation as a tool for evaluating redistribution policies

During the last 20 years, microsimulation models have been increasingly applied in qualitative and quantitative analysis of public policies. This paper discusses microsimulation techniques and their theoretical background as a tool for the analysis of public policies. It next analyses basic principles for using microsimulation models and interpreting their results, with emphasis on tax incidence, redistribution and poverty analysis. It then discusses social welfare analysis permitted by microsimulation techniques and points to the limits of present approaches and some directions for future developments.     

Health and the structure of adolescent social networks

Much research has explored the role of social networks in promoting health through the provision of social support. However, little work has examined how social networks themselves may be structured by health. This article investigates the link between individuals' health and the characteristics of their social network positions. We first develop theoretical predictions for how health may influence the structure of adolescent networks. We then test these predictions using longitudinal analysis of the National Longitudinal Study of Adolescent Health (Add Health). We find important relationships between the health status of adolescents and the characteristics of the social network positions within which they are embedded. Overall we find that adolescents in poor health form smaller local networks and occupy less central global positions than their healthy peers. These results also have implications for social network research, expanding the scope of factors responsible for the network positions individuals occupy.     

The Social Relationships and Social Support of Aging Mothers Whose Adult Daughters Are Mentally Ill

Guided by a conceptual framework highlighting multiple facets of social relationships and social support, this study examined the extent to which aging mothers of adult daughters with a serious mental illness were socially integrated with members of their network. It further examined the relational content of these mothers’ social ties as tangible or intangible support and the nature of their supportive exchanges with network members, particularly their adult daughters with mental illness. A structured face-to-face interview was conducted with 22 aging mothers of these adult daughters. Two methods of analysis were used to analyze data: counting and content analysis. Findings showed aging mothers of daughters with mental illness were socially integrated with relatives and nonrelatives, evidenced relational content of tangible and intangible support in their social ties and engaged in bidirectional and asymmetrical support exchanges with network members, including their daughters with mental illness. These findings suggest that social resources in the form of social relationships and support are embedded in the networks of aging mothers who have adult daughters with serious mental illness. Practitioners should assess support contributions to the aging mothers of adult daughters with serious mental illness from a wide range of social relationships including their daughters.     

A reassessment of the sociability of long-term skid row residents: A social network approach

Despite more than one hundred and fifty empirical studies completed on the subject of skid row, no issue remains so completely muddled than that of the sociability of skid row men. Utilizing network analysis techniques developed in previous work with inner-city populations, the authors interviewed 48 elderly residents of the Bowery. The data dispelled the notion that skid rowers are completely isolated, incapable of intimacy and complex social formation, and unable to enlist the support of their compeers in response to deteriorating health. Nonetheless, as contrasted with other urban populations, they had markedly constricted social worlds. A reinterpretation of the literature is proffered based on these findings.     

Network range and health.

The inclusion of network concepts in the stress-distress model of health represents a major theoretical advance. Most researchers use the dyadic approach of social network analysis to construct network measures of social support. Working from the argument that network structure and social support are conceptually and empirically distinct, we extend the stress-distress model to include measures of network structure (network range) as predictors of exposure to stress, access to social support, and distress. We find that the density, diversity, and size dimensions of network range affect exposure to stress, access to social support, and distress differentially and that, in each case, their effects are gender-specific.     

Longitudinal non-euclidean networks: Applying Galileo

This article discusses the theoretical utility of using a non-Euclidean spatial manifold when describing social networks. It proposes that a variant of metric MDS, the Galileo System, can be particularly useful in analyzing social networks and their changes over time, partially because it does not impose Euclidean assumptions on the data. Two sets of longitudinal network data are examined with Galileo. One is the American air traffic network from 1968–1981. The other is ten groups engaged in a computer conference over a 24 month period. In both cases, the results indicate that a Riemannian spatial manifold is required to describe the network structure. Consistent theoretically valid results based upon the non-Euclidean components of spatial manifold are obtained. Further, they could be readily explained by exogenous factors. The implications of these results for network analysis are discussed.     

Student Acceptance of a Multicultural Education

Abstract

While the virtues of a multicultural education are debated in the general US populace, most social work educators and organizations have embraced such an approach. Subsequently, social work journals have offered numerous essays on multicultural teaching techniques. Yet, these same journals have rarely explored the multicultural attitudes of social work students. To fill this gap, this paper empirically explores the ways in which BSW students accept or reject some multicultural goals. To do so, close-ended surveys were distributed to 437 undergraduates. After describing their responses to the authors' multicultural index, the project explores the survey results via demographic, social-psychological, and educational variables. With the assistance of a multiple regression, this project suggests that student acceptance of multiculturalism is swayed by the matters of gender and their stances on White privilege and institutional racism. However, student perceptions do not seem static since students become more positive toward a multicultural education after they have initiated interracial exchanges and completed a social diversity class.     

Evaluation of social network measurement instruments

This paper evaluates the reliability and validity of network measurement instruments for measuring social support. The authors present and discuss the results from eight experiments which were designed to analyze the quality of four measurement scales: (1) binary, (2) categorical, (3) categorical with labels, and (4) line production, as well as two measurement techniques for listing alters (free recall and recognition). Reliability and validity were estimated by the true score multitrait–multimethod (MTMM) approach. Meta-analysis of factors affecting the reliability and the validity of network measurement was done by multiple classification analysis (MCA). The results show that the binary scale and the first presentation of measurement instruments are the least reliable. Surprisingly, the two data collection techniques (free recall and recognition) yield equally reliable data.     

An Exploratory Needs Analysis of Parents Diagnosed with Cancer

The purpose of this study was to explore the experiences of parents and co-parents where one parent was diagnosed with cancer with specific interest in the impact of the disease on their role as a parent and the supports that were found to be useful in managing the ongoing care of their children. A qualitative research method using semi-structured interviews and thematic network analysis techniques was used. Participants included adult English-speaking parents receiving treatment for a new diagnosis of cancer at a major tertiary oncology research and treatment centre, with prior social work involvement. Participants reported multiple, complex layers of need. Four salient themes were evident: (a) emotional impact of a cancer diagnosis on the patient, (b) accessing professional supports, (c) children’s understanding, and (d) meeting children’s needs. Parents described difficulties in managing emotionally, physically, and existentially. Accessing supports within the healthcare service and community was paramount, as was guidance around communicating with children. Receiving a proactive service from a social worker was highly regarded. The results demonstrate that it is essential to respond to the needs of parents with cancer in order to minimise prolonged emotional distress.     

The world according to iTunes: mapping urban networks of music production

In this article, I present a social network analysis that explores and maps relational urban networks of production within the global recorded music industry. Within the analysis, recorded music albums are viewed as temporary market‐based projects that bring together teams of skilled creative workers in recording studios across the globe. New tools and techniques for networking studios in geographically distant locations give mobile musically creative workers the ability to coordinate musical recordings on a global scale, resulting in new relational geographies of music production. An innovative approach is taken to the social network analysis to assess the connectedness of cities and determine the centrality and power of cities within networks of production for three major Anglophone digital music markets. The result is a mapping of the relational urban networks of music production as indicated through the interdependencies between projects, studios and local urban agglomerations.     

African ape social structure: Is there strength in weak ties?

Prominent hypotheses on the structure of African ape social organization are examined from a network perspective. Data on chimpanzee and gorilla social ties are summarized and assessed with respect to the hypotheses. Contrary to most of the literature on African apes, a network analysis of social ties reveals that chimpanzees and gorillas have similar structural arrangements in their respective patterns of social organization. Granovetter's weak tie mode of integration of a population at the macro level is used to explain the data.