Investment communities: Behavioral attitudes and economic dynamics

Using a real-world data set encompassing the daily portfolio holdings and exposures of complex investment funds, we derive a set of quantitative attributes to capture essential behavioral features of fund managers. We find the existence and stability of three investment attitudes, namely the conservative, the reactive, and the pro-active profiles, defining communities that respond differently when facing external shocks. The conservative community has behavioral similarities that tend to decrease due to external shocks, the reactive community members greatly increase their activity level especially during turmoil phases, while delegated investors in the pro-active community are more resilient to turbulence and counterbalance the impact of the events by adjusting their portfolio exposures in advance. We show that exogenous shocks only temporarily perturb the behavioral traits of the communities which then go back to their original states once the distress is embedded.     

The Decline of the US and the Flatenization of International Order

Based on the current global financial crisis, the article introduces two recent typical perspectives on international order from the angle of discussion on the decline of the US, pointing out that the real trend of the development of international political economic order is flatenization. International power will be distributed in a flat model. In this kind of order big powers, main regional nation groups and important international organizations and institutions will share power in an increasingly equal way. The demands for reform of the international financial system against this financial crisis also reflect the trend of flatenization of the international political economic order.

Return on investment (ROI) of international public relations: A country-level analysis

The purpose of this study is to examine the relationship between economic outcome and international public relations investment by other countries in the U.S. Based on country-level data analysis, this study found that the number of international public relations contracts by other countries in the U.S. was positively related to (1) U.S. imports from those countries, (2) U.S. direct investment to those countries, and (3) the number of U.S. tourists visiting those countries, after controlling for economic size.     

A network analysis of international migration: Longitudinal trends and antecedent factors predicting migration

Building on previous research, this study investigates the international migration network and its changes from 1990 to 2017. The findings suggest that certain core countries play pivotal roles in shaping global migration by providing economic opportunities or political refuge. Community detection identified nine groups of nations in 2017, indicating regionalization. The study also examined the networks of antecedent factors that reflect both structural factors, such as geography, language, colonial history, political stability and economic differences, as well as transnational interactions, including student flow, trade, Internet flow and remittance, in relation to the international migration network. Applying multiple regression quadratic assignment procedure, it was found that these networks constituted approximately 11% of the migration network's distribution when chain migration was excluded, and 16.5% when it was included.     

An analysis of other countries’ international public relations in the U.S.

The purpose of this study was to examine the various aspects of international public relations by other countries in the U.S. Based on the Foreign Agency Registration Act (FARA) report in 2002, this study analyzed client, activity types, purpose of activity, and key U.S. partners for activity. This study found that (1) business organizations and central governments were major clients of international public relations in the U.S., (2) meeting with governmental officials and congressional leaders was the primary type of activity followed by information dissemination, and (3) economic purpose led by trade promotion was the primary motive for these activities.     

A new scalable leader-community detection approach for community detection in social networks

Studying social influence in networks is crucial to understand how behavior spreads. An interesting number of theories were elaborated to analyze how innovations and trends get adopted. The traditional view assumes that a minority of members in a society possess qualities that make them exceptionally persuasive in spreading ideas to others. These exceptional individuals drive trends on behalf of the majority of ordinary people. They are loosely described as being informed, respected, and well connected. The leaders or influential are responsible for the dissemination of information and the propagation of influence. In this paper, we propose a new scalable and a deterministic approach for the detection of communities using leaders nodes named Leader-Community Detection Approach LCDA. The proposed approach has two main steps. The first step is the leaders’ retrieval. The second step is the community detection using similarity between nodes. Our algorithms provide good results compared to ground truth membership community.     

Role analysis using the ego-ERGM: A look at environmental interest group coalitions

Interest groups coordinate to achieve political goals. However, these groups are heterogeneous, and the division of labor within these coalitions varies. We explore the presence of distinct roles in coalitions of environmental interest groups, and analyse which factors predict if an organization takes on a particular role. To model these latent dynamics, we introduce the ego-ERGM. We find that a group's budget, member size, staff size, and degree centrality are influential in distinguishing between three role assignments. These results provide insight into the roles adopted in carrying out coalition tasks. This approach shows promise for understanding a host of networks.     

A content analysis of BP's press releases dealing with crisis

This study aims to analyze what kinds of frames have been used in British Petroleum's (BP's) press releases, which dealt with the Gulf oil spill crisis that occurred in April 2010. A content analysis was conducted to explore the different frames used by BP in its press releases to deal with the crisis. The main and sub themes are also analyzed through a content analysis of press releases. This study attempts to examine BP's crisis communication strategy through press release usage by closely analyzing the frames and themes that were used. This study found that BP attempted to update the public on what the company was doing to resolve the oil spill crisis, and that they made every effort to manage the crisis by using the company's official update frame. In addition, by using the social responsibility frame, BP aimed to show the public that they had intentions of taking responsibility for the oil spill. Finally, BP used a minimal number of defensive frames as a way of showing the public that they did not want to flee from the responsibility of the oil spill crisis.     

A quick reference guide to mental health on university campus: a brief rhetorical analysis of fear

I was teaching rhetoric at the University of Victoria when I received the ‘Quick Reference Guide: Assisting Students in Distress’, part of the university’s initiative to address the increasing problem of mental illness on university campuses. I immediately read a rhetoric that presented mental health as Madness, as something to be feared, a threat to the university, class and the individual. This short article is a brief rhetorical analysis of this Guide, and suggests that we must move beyond fear if we are to begin to address the mental health crisis on university campuses.     

Personal support networks of immigrants to Spain: A multilevel analysis

Immigrant flows to Spain have increased greatly in the last decade, but little is known about the composition and role of their personal support networks. Our research questions are: (1) Which factors are associated with ties between immigrants and ‘Spaniards’ (the more settled resident Spanish population), compared with immigrants and non-Spaniards (other immigrants)? (2) Do the support roles of Spaniards and non-Spaniards differ? We analyse personal network (ego-net) survey data. Multilevel logistic regression models are applied, in which the unit of analysis is the undirected tie between an immigrant (ego) and an alter and the dependent variable is whether this tie is to a Spaniard alter, as opposed to a non-Spaniard. We determine the characteristics that are most strongly associated with the probability of a tie between an immigrant and a Spaniard, compared with a non-Spaniard, and consider characteristics of the immigrants (ego), the alters, the relative characteristics of ego-alter, support roles, and local geographical factors. We find a tie to a Spaniard alter is more likely if the immigrant’s country of birth is Portugal or Eastern Europe; if the alter is a work colleague or neighbour; if alter is older than ego. There is geographical variation in the probability of ties to Spaniards, partly explained by the local area presence of co-nationals from the same country of origin as the immigrant. A tie to a Spaniard alter is less likely for immigrants from North Africa (Maghreb); those with no previous contact with Spain; those who are not the first of their peer group/family to immigrate; if ego and alter both work in agriculture. Material help is more likely to be exchanged with a Spaniard alter. Non-Spaniard alters are more likely to exchange help with accommodation and information. ‘Finding a job’ is equally associated with Spaniard and non-Spaniard alters. A tentative conclusion is that some combinations of these characteristics, where a tie to a Spaniard is less likely, may be associated with higher levels of prejudice. Conversely, those characteristics that are positively associated with a tie to a Spaniard may indicate situations where integration of the immigrant population with Spaniards is successfully taking place, and where prejudices are lower, or non-existent. These findings may therefore be helpful for targeting resources to reduce such prejudices. The different types of support exchanged between immigrants and Spaniards and immigrants and non-Spaniards, may indicate current shortfalls in this process, as well as indicating where this support is successfully being exchanged.     

A behavior genetic analysis of the tendency for youth to associate according to GPA

Behavior genetic research has revealed that many “environmental” variables are partially influenced by genetic factors. Known as gene–environment correlation (rGE), this line of scholarship provides insight on how and why individuals select into certain environments. Juxtaposing this body of evidence with research on peer group homophily—the tendency for peers to resemble one another on certain traits such as academic ability—raised two research hypotheses: (1) youth will associate with peers who receive grades similar to themselves (i.e., homophily for GPA); and (2) a portion of the variance in peer group GPA (i.e., the peer network average GPA) will be explained by individuals’ genetic self-selection into the peer group (rGE). The results supported both hypotheses by showing a strong predictive relationship between the target individual's GPA and that of his/her peers and by revealing that 72% of the variance in peer group GPA was explained by genetic influences.     

Finding the path beyond reputation repair: A structural topic modeling analysis of the crisis communication paradigm in public relations

This research utilizes computational methods to examine crisis communication scholarship from 2010 to 2020 in two studies with a census of all articles in Public Relations Review and the Journal of Public Relations Research (n = 1293 articles, 7400,685 words). Results indicate crisis scholarship has expanded beyond its prior focus on reputation repair. Situational crisis communication theory and image repair are compared in volume of scholarship and methodological affinity. Social media, SCCT, and media relations are identified as central topics within crisis communication scholarship.     

The importance of networking in development co‐operation: A social network analysis‐based evaluation of an international development programme

This article aims to demonstrate that networking activities, if properly planned, applied and monitored, can help increase the long‐term impact of development co‐operation actions. We demonstrate the added value of networking within development actions, focusing on dynamics of trust and reciprocity and on the rationales beyond different collaboration patterns, demonstrating the impact of networking on program effectiveness, intercultural learning and sustainability. Using social network analysis coupled with participant observation, it was possible to trace the development of a large multi‐stakeholder development programme and to understand a number of dynamics not considered by the donor when evaluating the action, thereby reaching a better understanding of the challenges and success of the programme.     

A mixed-methods evaluation using effectiveness perception surveys,social network analysis,and county-level health statistics: A pilot study of eight rural Indiana community health coalitions

Community health coalitions (CHCs) are a promising approach for addressing disparities in rural health statistics. However, their effectiveness has been variable, and evaluation methods have been insufficient and inconsistent. Thus, we propose a mixed-methods evaluation framework and discuss pilot study findings. CHCs in our pilot study partnered with Purdue Extension. Extension links communities and land grant universities, providing programming and support for community-engaged research. We conducted social network analysis and effectiveness perception surveys in CHCs in 8 rural Indiana counties during summer 2017 and accessed county-level health statistics from 2015-16. We compared calculated variables (i.e., effectiveness survey k-means clusters, network measures, health status/outcomes) using Pearson’s correlations. CHC members’ positive perceptions of their leadership and functioning correlated with interconnectedness in their partnership networks, while more centralized partnership networks correlated with CHC members reporting problems in their coalitions. CHCs with highly rated leadership and functioning developed in counties with poor infant/maternal health and opioid outcomes. Likewise, CHCs reporting fewer problems for participation developed in counties with poor infant/maternal health, poor opioid outcomes, and more people without healthcare coverage. This pilot study provides a framework for iterative CHC evaluation. As the evidence grows, we will make recommendations for best practices that optimize CHC partnerships to improve local health in rural areas.     

A cohort analysis of female labor participation rates in the U.S. and Japan

Aggregate data of female labor participation rates in U.S. and Japan, classified by period and by age, are decomposed into age, period, and cohort effects using innovative Bayesian cohort models that were developed to overcome the identification problem in cohort analysis. The main findings are that in both countries, age effects are the largest and period effects are the smallest; in both countries, age effects are roughly consistent with life-cycle movements expected by labor economics, but the negative effects of marriage and/or childbearing on women?’s labor supply in Japan are much larger than those observed in the U.S.; and in both countries, upward movements of cohort effects during 1930s–1960s were found. However, cohort effects are larger for the U.S. than for Japan. All the cohort results are roughly consistent with the marriage squeeze hypothesis and the Easterlin hypothesis.     

Industrial relations and adjustments to the crisis: A comparative micro‐statistical analysis of France and Great Britain

In this comparative study, the authors analyse the relationships between industrial relations and workforce or wage adjustments in response to the 2007–08 crisis, using two highly comparable establishment‐level surveys conducted in Great Britain (WERS) and France (REPONSE) in 2010–12. Notwithstanding contextual differences in the countries’ productive systems and the timing and impact of the crisis, the relationships between industrial relations and adjustment strategies appear to have been similar (trade union presence not preventing adjustments). Differences in industrial relations are therefore not found to provide an explanation for the different modes of adjustment observed at the macroeconomic level.     

Socio-material network analysis: A mixed method study of five European artistic collectives

In this paper, I argue that we can better understand the relationship between social structure and materiality by combining qualitative analysis of practices in shared physical space with statistical analysis. Drawing on the two-mode approach, I treat social and material structures together with the relationship between them as a two-level socio-material network. In a mixed method study, formalized ethnographic data on such networks in five European artistic collectives are subjected to multilevel exponential random graph modelling. It sheds light on how different kinds of interpersonal ties condition the engagement of individuals with similar materiality over time.     

Stakeholder influence,government power,and new opportunities for Chinese Internet companies: A multilevel network analysis of cross-sector networks

In recent decades, Chinese Internet companies have experienced exponential growth. As the Internet industry increasingly commends tremendous financial resources, they also face growing stakeholder expectations for corporate social responsibility (CSR) actions. One way through which Chinese Internet companies conduct CSR is by building cross-sectoral collaborations with nonprofit and nongovernmental organizations (NGOs) and governmental agencies. Aiming to understand Internet companies’ strategic relationship building on CSR issues, the researchers drew from stakeholder influence theory and research on a network approach to stakeholder influence, and applied multilevel network analysis to model three networks related to Chinese Internet companies’ CSR collaborations. Specifically, we found that power and urgency are significant predictors of the structure of Internet companies’ cross-sector CSR alliance network. Organizations affiliated or endorsed by the central Chinese government are the most desirable CSR stakeholders. Additionally, the study also revealed that for Internet companies, devoting their attention to Internet-related social issues could increase their desirability as strategic stakeholders from other sectors and among Internet companies.     

A transnational networked public sphere of air pollution: analysis of a Twitter network of PM2.5 from the risk society perspective

ABSTRACT

Drawing on digitaltrace data, publicly accessible government documents, and journalistic reports, this research integrates Beck’s risk society theory with digital media theories to examine the mediated process of risk definition and assessment of PM2.5 (particulate matters with a diameter less than 2.5 micrometers) in a networked public sphere. Network and content analysis of a PM2.5 Twitter network shows that political and professional elite remained the most powerful producers of risk definition. Established media played a key role, yet faced challenges from a variety of actors who disseminated and filtered information. Laypersons, while peripheral, actively interacted with elite and established media. The blurring geographic boundary in the PM2.5 Twitter network revealed an emerging transnational public sphere, which, however, was segregated by language. This research advances a layered understanding of the contingent, paradoxical media impact for social changes in a risk society.