Demographic and HIV status diversities as mechanisms of social integration and segregation among Black sexual and gender minorities enrolled in a community-based social network intervention

Young, Lindsay E.; Tang, Jack Lipei; Schneider, John A.

doi:10.1016/j.socnet.2022.12.006

Cited by 2 publications

(3 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider preferential attachment, transitivity, and link memory as the endogenous structural features. The term GWDegree is used to model the degree distribution and capture the skewed degree distribution (network concentration or preferential attachment) in ERGMs (Young et al 2023). For the transitivity effect, we use the GWESP statistic, and for link memory, we use the memory statistic.…”

Section: Structural Network Level Variablesmentioning

confidence: 99%

Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM

Zinilli,

Gao,

Scherngell

2024

Netw Spat Econ

View full text Add to dashboard Cite

Innovation networks play a key role in advancing knowledge transfer, collaboration, and technological progress across sectors and regions. Central to the understanding of the mechanisms driving such networks is their dynamic evolution and structure. Much of the literature explores spatial and socio-economic drivers of innovation networks, focusing on geographic, institutional, and cultural influences. However, many of these studies tend to overlook the intricate properties that govern the behavior and dynamics of these networks. This study seeks to address this research gap, delving deeper by investigating Chinese intercity innovation networks between 2007 and 2018. Specifically, we examine: (i) the preferential attachment dynamics within intercity innovation networks, (ii) transitivity effects that underscore the interconnectedness of these networks, and (iii) the persistence and recurrence of connections. We find that cities show indeed a remarkable tendency to form ties with others that already have numerous connections. Such transitivity effects are important in highlighting the formation of innovation clusters. Moreover, the influence of link memory suggests that past collaborations significantly determine future partnerships, similar to the persistent nature of relationships in agglomeration theories.

show abstract

Section: Structural Network Level Variablesmentioning

confidence: 99%

Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM

Zinilli,

Gao,

Scherngell

2024

Netw Spat Econ

View full text Add to dashboard Cite

show abstract

“…First, as one of the most fundamental network structural processes, reciprocity suggests that nodes in a network would send a tie to those who have sent a tie to them. Communication ties are found to be driven by reciprocity in various contexts (Esteve Del Valle & Borge, 2018; Harrigan et al, 2012; Young et al, 2023; Zhen et al, 2023). Second, transitive means that a node tends to form closed triplets for a stable and cohesive relationship (Monge & Contractor, 2003).…”

Section: Research Contextmentioning

confidence: 99%

“…Next, based on the new typology proposed in the earlier section, I test if LIIs (previously platform influencers) would tend to send and receive more ties than CII (previously regular users). Then, the homophily effects for all influencer-level features are examined as suggested by previous research (Wu et al, 2011; Young et al, 2023; Zhen et al, 2023). Finally, network size, likeability on social media, and gender are controlled following Park and Kaye (2017) and Xu and colleagues (2021):…”

Section: Research Contextmentioning

confidence: 99%

Issue Communication Network Dynamics in Connective Action: The Role of Non-Political Influencers and Regular Users

Tang

2023

Social Media + Society

Self Cite

View full text Add to dashboard Cite

Social media influencers (SMIs) have prevailed in online communication networks and can play key roles in connective action. However, how influencers connectively drive activism communication network is less clear. This study conceptualizes issue influencers as users who emerge as influential nodes in shaping the communication network in a contentious political issue niche. A new typology of influencers is proposed based on both issue and platform influence. Drawing on connective action theory and SMI studies, this study employed a Stochastic Actor-Oriented Model to examine how structural (endogenous) processes and influencer-level (exogenous) characteristics explain the communication network dynamics among issue influencers based on 200,000 Weibo posts from approximately 150,000 unique users about a gender policy discussion in China. The results show reciprocity, closure triplets, and influencer-level attributes including issue stance and influencer status significantly drive the longitudinal activism communication network. This study suggests that, when political influencers are absent, non-political influencers and regular users can effectively lead a contentious communication network on a platform with increasing censorship and suppression.

show abstract

Demographic and HIV status diversities as mechanisms of social integration and segregation among Black sexual and gender minorities enrolled in a community-based social network intervention

Cited by 2 publications

References 69 publications

Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM

Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM

Issue Communication Network Dynamics in Connective Action: The Role of Non-Political Influencers and Regular Users

Contact Info

Product

Resources

About