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This article explores the role of macro-level factors, specifically political opportunity structures (POS), in shaping interorganizational network tie formation and persistence. Grounded in the POS literature and the multitheoretical multilevel (MTML) framework—specifically using the theories of resource dependency and collective action—we examine how changes in POS are associated with network structures in Malaysian civil society. Data were collected in two phases, reflecting different political contexts. Although the network never evolved into a decentralized or centralized structure, the most central organizations remained consistent and seemed to have been active in bringing others closer to reconfigure toward a more cohesive structure as the POS became more closed. This research contributes to communication network theory by demonstrating how incorporating exogenous environmental factors like POS can advance theory. It offers new insights into operationalizing POS within network analysis and challenges conventional interpretations of centralization in interorganizational relationships. [ABSTRACT FROM AUTHOR]

Audiences for messages divide attention among a variety of media outlets, sources, and venues. Such segmentation creates a challenge for message creators to (re)engage audiences' attentional capacities. This research investigates how domain elites may curate emergent attentive publics for public affairs content by engaging in processes of domain crossing to potentially redirect audience attention. Conceptually, we contribute to historic and contemporary understandings of how societal leaders attempt to build engaged and attentive publics for their messages. Methodologically, we employ large data and network analytic methods to study the creation of emergent publics online around a pseudo-event. We illustrate how leader-directed domain crossing could overcome audience challenges in a fragmented media ecology. [ABSTRACT FROM AUTHOR]

Those affected by catastrophic events like hurricanes are burdened with the task of preparing for and responding to the threats of harm in addition to dealing with the emotionally taxing process of consuming and sharing disaster-related information. However, little is known about how threats and emotions during natural disasters impact media usage for information seeking and sharing. This study examined the relationship between the perceived threat of disasters (including disaster severity and involvement recognition), negative emotions, and information seeking and forwarding/sharing via different types of media. We surveyed over 600 adults in U.S. counties impacted by Hurricane Florence in 2018. Our findings show that negative crisis emotions mediated the relationship between threat appraisals and information seeking and sharing behaviors. In our discussion, we suggest how disaster/emergency communication professionals can prepare and respond to disasters by knowing how emotions influence individuals' communicative behaviors. [ABSTRACT FROM AUTHOR]

Megachurches have a reputation for savvy use of digital media; however, little is known about their advertising strategy or which strategies elicit engagement. By assessing megachurches' promotional content on social media, this study draws on the devotional campaign framework to examine audience-centric engagement strategies: God-Congregant, Church-Congregant, and Intra-Congregational. The quantitative content analysis of Facebook and Instagram posts from 15 megachurches in five countries revealed that megachurches used the combination God-Congregant & Church-Congregant engagement strategies, as well as the singular Church-Congregant engagement strategy, the most often. Yet, audiences engaged significantly more with posts using the God-Congregant engagement strategy when compared to all other strategies. The use of engagement strategies and engagement received on posts varied according to geographical location and cultural differences, suggesting there may be a cultural aspect to what earns engagement from followers. Advertisers looking to increase online engagement should focus their efforts on persuasive messages that include the object-audience engagement strategy. This study advances advertising theory on engagement by suggesting that engagement is contingent upon the engagement strategy utilized as well as the specific region's norms around the brand and community. [ABSTRACT FROM AUTHOR]

The interorganizational relationship communication literature has identified homophily – the tendency for actors to form ties with similar others – as a mechanism predictive of tie formation among organizations in civil society networks. This study examined the connection between homophily and network structures equated with different types of social capital and perceptions of influence. Using survey data gathered from a network of Malaysian civil society organizations (n = 90), exponential random graph models and autologistic actor attribute models were used to test the association between homophily characteristics and the networked social capital positions of bridging, bonding, and gatekeeping. Results showed that bonders and brokers tended to be influenced by homophily, whereas gatekeepers were influenced by heterophily and homophily. Homophily was also associated with the likelihood of CSOs rating each other as more influential on government reform. [ABSTRACT FROM AUTHOR]

The pervasive of COVID-19 information has driven some to escape daily conversations or media coverage. A rich set of theoretical discussions and empirical studies help explain why individuals avoid health risk information, but few studies have explored social network antecedents to information avoidance. This study investigates how personal discussion networks about COVID-19 shape individuals' information avoidance behaviors. Using a nationally representative sample (N = 1,304), we examined the effects of network size, heterogeneity, ego-alter dissimilarity, and social norms. Our results suggest that the four network variables had varying effects on different forms of information avoidance. Notably, social norms significantly predicted individuals' information avoidance. The theoretical and methodological implications of our findings are discussed. [ABSTRACT FROM AUTHOR]

Nongovernmental organizations (NGOs) increasingly utilize social media for strategic stakeholder engagement. This study proposes a network-oriented theoretical framework to understand how NGOs' engagement with complex networks of stakeholders on the global refugee issue varies as the issue moves from low to high public attention stages. We draw from research on multistakeholder issue networks and issue niche theory and analyze a large-scale Twitter data set containing tweets from hundreds of organizations from more than 30 countries. This cross-national, longitudinal study tracks issue evolution and NGOs' tie formation patterns among themselves and with complex stakeholders (i.e., government and media) as public attention to the refugee issue increases. The results of our exponential random graph models (ERGMs) show how cross-sector stakeholders interact dynamically and how different issue identities position NGOs uniquely in issue niches as the issue evolves. We also find that organizations' country-level homophily influences tie formation. Theoretical and practical implications are discussed. [ABSTRACT FROM AUTHOR]

In times of public health emergencies, health agencies need to engage and communicate with the public in real-time to share updates and accurate information. This is especially the case for the COVID-19 pandemic where public engagement can potentially save lives and flatten the curve. This paper considers how the use of interactive features and strategic network positions of health agencies on social media influenced their public engagement outcomes. Specifically, we analyzed 203 U.S. public health agencies' Twitter activity and the public engagement they received by extracting data from a large-scale Twitter dataset collected from January 21st to May 31st, 2020. Results show that health agencies' network position in addition to their two-way communication strategy greatly influenced the level of public engagement with their COVID-19 related content on Twitter. Findings highlight the benefits of strategic social media communication of public health agencies resides not only in how agencies use social media but also in their formation of network position to amplify their visibility. As official sources of health and risk information, public health agencies should coordinate their social media communication efforts to strategically position themselves in advantageous network positions to augment public engagement outcomes. [ABSTRACT FROM AUTHOR]

Recent interorganizational communication research has taken up the question: why are networks structured the way they are? This line of inquiry has advanced communication network research by helping explain how and why networks take on certain structures or why certain organizations become positioned advantageously (or not). Yet, those studies assume relationships among organizations are either present or absent. This study considers how the strength of ties and multiplex relationships among organizations may reveal a more complex explanation for why networks take on certain structures. Our results challenge some long held assumptions about the mechanisms that influence network formation. For instance, our results offer important insights into the consequences of closure mechanisms, the applicability of preferential attachment to real-world networks, and the nuances of homophily in network formation on multidimensional relationships in a communication network. Implications for interorganizational networks are discussed. [ABSTRACT FROM AUTHOR]

Many mutations cause obvious abnormalities only when combined with other mutations. Such synthetic interactions can be the result of redundant gene functions. In Caenorhabditis elegans, the synthetic multivulva (synMuv) genes have been grouped into muhiple classes that redundantly inhibit vulval cell fates. Animals with one or more mutations of the same class undergo wild-type vulval development, whereas animals with mutations of any two classes have a multivulva phenotype. By varying temperature and genetic background, we determined that mutations in most synMuv genes within a single synMuv class enhance each other. However, in a few cases no enhancement was observed. For example, mutations that affect an Mi2 homolog and a histone methyltransferase are of the same class and do not show enhancement. We suggest that such sets of genes function together in vivo and in at least some cases encode proteins that interact physically. The approach of genetic enhancement can be applied more broadly to identify potential protein complexes as well as redundant processes or pathways. Many synMuv genes are evolutionarily conserved, and the genetic relationships we have identified might define the functions not only of synMuv genes in C. elegansbut also of their homologs in other organisms.

Research has been conducted on the chemoreceptor gene subset in Caenorhabditis elegans. The role of the daf-7 TGF-beta pathway in expression regulation of this subset has been invstigated and the results demonstrate that the expression of the individual chemoreceptor genes in C. elegans is subject to multiple regulation modes.

Social media can offer strategic communicators cost-effective opportunities to reach millions of individuals. However, in practice it can be difficult to be heard in these crowded digital spaces. This study takes a strategic network perspective and draws from recent research in network science to propose the network contingency model of public attention. This model argues that in the networked social-mediated environment, an organization's ability to attract public attention on social media is contingent on its ability to fit its network position with the network structure of the communication context. To test the model, we combine data mining, social network analysis, and machine-learning techniques to analyze a large-scale Twitter discussion network. The results of our analysis of Twitter discussion around the refugee crisis in 2016 suggest that in high core-periphery network contexts, "star" positions were most influential whereas in low core-periphery network contexts, a "community" strategy is crucial to attracting public attention. [ABSTRACT FROM AUTHOR]

Objective: Social support is a critical, yet frequently unmet, need among young adults (YAs) with cancer. YAs desire age-appropriate resources to connect with peers. Peer-to-peer mobile apps are promising interventions to provide social support. Peer-to-peer apps will be more effective if development incorporates users' input for whether app designs (look and function) afford meaningful connections.Methods: We interviewed 22 YAs to assess perceptions of a peer-to-peer app at a YA cancer convention in April 2017.Results: Participants were an average age of 29, mostly female (77%), white (73%), and well educated (68% with 4-year college degree or higher). Most participants expressed interested in using an app to connect with YAs, but preferences varied by prevalence or rarity of one's cancer diagnosis. YAs shared trade-offs for profile anonymity versus profiles with more personal information, requests for filter options to connect for varying support needs, and desires for tailored messaging and chat room features (eg, topic-specific and search capabilities).Conclusion: Findings demonstrate the promise of apps to fulfill YA cancer survivors' unmet peer support needs and provide guidance for app optimization.Clinical Implications: Peer-to-peer support apps should be designed so users can control their identity and customize features for meaningful connections. [ABSTRACT FROM AUTHOR]