Network Of Brokers Research Articles

Explaining Protest Participation in Semi-authoritarian Regimes: The Power of Social Networks

AbstractThis study uses the case of ecological protests in the Russian Federation and the social network of 903 263 VKontakte users to investigate the unique characteristics of protesters’ social networks and assess the effects of network topology on the likelihood of participation. By applying Bayesian structural equation modeling to the data, the study finds that social network topology plays a more nuanced and complex role in predicting protest participation beyond simple exposure to information. Notably, individuals situated as brokers in lower-density and higher-closure networks exhibit a higher likelihood of participation, while central nodes participate less. The results highlight the importance of strategic positioning as brokers for increasing the likelihood of participation. The paper discusses these and other findings, contributing to a deeper understanding of the interplay between social network structures and protest participation.

Who gets redeployed? Inventor characteristics and resource redeployment decisions

AbstractResearch SummaryWhile the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a resource at the source unit versus moving it to a new target unit. We argue that inventors with inventive breadth are more likely to be redeployed, whereas broker inventors are less likely to be redeployed. Moreover, we consider two source‐unit characteristics that influence internal opportunity costs: resource slack and knowledge interdependence. We test our arguments on the redeployment of inventors following an exogenous profitability shift in the US petrochemical industry in 2012 and find support for our predictions.Managerial SummaryManagers move resources between business units to respond to profitability shocks, but which specific resources do they move? Examining the inter‐unit transfers (redeployments) of inventors between business units following the unexpected profitability disparity between ethylene‐based business units and others in the US petrochemical industry, we find that generalist inventors are more likely to be redeployed, while brokers in the collaboration network (inventors who connect others) are less likely to be redeployed. In addition, conditions that alter opportunity costs at the source unit matter. Larger proportions of generalists (and brokers) facilitate redeployment of either type, and knowledge interdependencies in the source unit mitigate redeployment.

Healthcare social network research and the ECHO model™: Exploring a community of practice to support cultural brokers and transfer cultural knowledge

BackgroundProject ECHO® networks at Children’s Health Queensland Hospital and Health Service (CHQHHS) are communities of practice designed to mitigate services and systems fragmentation by building collaborative partnerships addressing priority child and youth health needs. Aboriginal and Torres Strait Islander people experience the negative impacts of fragmentation in addition to historical challenges of absent or culturally inappropriate health services. Access to culturally safe and responsive services can be improved by engaging Aboriginal and Torres Strait Islander Health Workers and similar roles in an online community of practice, supporting the integration of cultural and clinical knowledge and self-determination of Aboriginal and Torres Strait Islander consumers in decisions affecting their health.Analysing professional support networks and knowledge sharing patterns helps identify enablers and barriers to partnerships. Using social network research, the multilevel network inclusive of ECHO network members and their colleagues was studied to identify interdisciplinary and cross-sector advice exchange patterns, explore the position of cultural brokers and identify common relational tendencies.MethodsSocial network theories and methods informed the collection of network data and analysis of advice-seeking relationships among ECHO network members and their nominees. Registered members from two ECHO networks were invited to complete the Qualtrics survey. Networks analysed comprised 398 professionals from mainstream health, Aboriginal and Torres Strait Islander Community Controlled Health Organisation, education, disability and child safety service settings.ResultsBrokers were well represented, both those who hold knowledge brokerage positions as well as cultural brokers who incorporate clinical and cultural knowledge enabling holistic care for Aboriginal and Torres Strait Islander patients (38 individuals, 17% of network). Professionals who occupy brokerage positions outside the ECHO network tend to be more connected with co-members within the network.ConclusionsThis study is the first application of contemporary social network theories and methods to investigate an ECHO network. The findings highlight the connectivity afforded by brokers, enabling the coordination and collaboration necessary for effective care integration. Inclusion of cultural brokers in an ECHO network provides sustained peer group support while also cultivating relationships that facilitate the integration of cultural and clinical knowledge.

Управление предпринимательскими сетями арктических территорий: методика проектирования сетевой архитектуры и ее реализация на Python

This study aims to develop a methodology for designing entrepreneurial networks based on assessing the potentials of actors, which are social and economic groups participating in entrepreneurial relations localized in the territories of the Russian Arctic. The objective is to ensure the reasoned participation of actors in network alliances. Methodological approaches and results of assessing the entrepreneurial potential of actors were previously presented, with the author developing approaches that account for the regional features of Arctic processes and allow for broad interpretation. To achieve this, the potential of various actors, or stakeholders operating in Arctic territories, is evaluated. This involves the use of indicators to integrate data in order to detail entrepreneurial properties. Among the indicators are involvement in creating business infrastructure, the scale of activity, innovative endeavors, professionalism of public organizations, and the efficiency of government administration in fostering a favorable investment climate. Other indicators include population engagement in innovation-driven processes (the degree of integration of local and scientific knowledge achieved by establishing formal and informal institutions and programs for interaction between the population and scientific communities; the degree of development of public institutions as subjects of the transfer of innovative solutions between participants in the territorial innovation system, etc.), the degree of monopolization of the territory's economy, the presence of large venture investors, and the venture policy of corporations indicating the stage of territory development. The article's objective is to lay theoretical foundations and methodological provisions for designing the architecture of Arctic network alliances. The focus is on ensuring maximum entrepreneurial potential, considering Arctic processes and their rapid recombination amid swift changes in the business environment. As a result, the author proposes a methodological approach to identifying actors in entrepreneurial networks and connections that support relationships between central actors. This identification is based on the target function of maximizing and restructuring entrepreneurial potential in the Arctic, whose calculation is automated through the use of the Python programming language. The article introduces the author's version of software for generating management information for network brokers. All data for assessment and design can be obtained from official open sources, ensuring the speed of data collection and processing. Research plans involve developing provisions of a methodology focused on the meso-level of the Russian Arctic macroregion for territorial, production, and socio-economic systems with significant potential for forming relations in the innovation economy.

Spatial structure and influencing factors of an emerging wine tourism network: a case study of the Ningxia wine region

PurposeNetworks linking tourist attractions or organizations are a major focus of tourism research. Despite extensive research on tourism networks, academic research on the spatial structure and formation of wine tourism networks is limited. This study aims to investigate the spatial structure and factors influencing the development of a network among Ningxia wineries, an emerging wine tourism destination in China.Design/methodology/approachThis study uses social network analysis to uncover “what” the spatial structure of wine tourism networks looks like. Sixteen in-depth interviews were conducted among key stakeholders to explain the “why” of such structural characteristics.FindingsThe results show that in an emerging wine tourism destination, popular tourist attractions enjoy high centrality and hold key positions in the wine tourism network. Small wineries exhibit high closeness centrality, and only one winery serves as a network broker. According to the stakeholders, the importance of network actors will increase as their economic and political importance increase, while small wineries that lack differentiation in the network may perish.Practical implicationsLocal governments can implement the suggested measures for improving network connections, and wineries are advised to find suitable positions to improve the experiences of tourists.Originality/valueThis study pioneers the identification of the distinct structure and factors influencing the network of an emerging wine tourism destination, thus enriching the understanding of the interplay and roles of different actors.

Healthcare network governance and accountability shaped by social capital

ABSTRACT Drawing on concepts from social capital theory, we examine how governance of a mandated public sector hospital network is implemented and the challenges the implementation poses for accountability and governance. Adopting a whole network perspective, we conduct a case study of one mandated hospital network in Ireland. Based on fifty-five semi-structured interviews, we demonstrate the co-existence of two different governance models: (1) the espoused officially sanctioned Network Administrative Organisation governance model, and (2) the actual governance model in operation which was more similar to a lead-organisation model. We provide theoretical insight into how complex governance arrangements emerge through the management of network tensions to prioritise particular poles of the tensions. Further, we analyse why the espoused NAO model was unable to respond to the accountability and governance challenges that arose. We identify how pre-existing bonding social capital between the “centralised network broker” (the Network Administrative Organisation) and the hub hospital limited the potential for social capital to expand from a private to a public good that could benefit the network as a whole. Our findings illustrate accountability and governance challenges in a mandated network and provide important insights for hospital managers and policy-makers by bringing to the fore the “dark side” of social capital and its ability to fragment broader collectivities, such as networks, in the name of local, particularistic identities. We draw attention to the importance of monitoring social capital development during network governance implementation and to how opposing poles of network tensions are managed. HIGHLIGHTS Different governance models can co-exist within mandated networks. These complex governance arrangements emerge through the management of network tensions to prioritise particular poles of the tensions. Pre-existing bonding social capital limits the expansion of social capital from a private to a public good within the network.

Theorising a spectrum of reasons for failure in knowledge brokering: a developmental evaluation

Background: Despite the growing interest in knowledge brokering as an approach to mobilising knowledge for societal benefit, research has only recently begun investigating the consequences of knowledge brokers’ actions. In particular, while it is known that failure can provide a valuable learning experience for individuals and organisations alike, very few studies have explored failure in knowledge brokering. Aims and objectives: With the aim of informing how knowledge brokers can navigate common professional challenges, this article discusses a spectrum of reasons for failure in the professional practice of knowledge brokering. Methods: Data for this article comes from a developmental evaluation of a network of knowledge brokers, focusing specifically on a set of semi-structured interviews (N = 20). Findings: The overarching themes identified in this study are organised according to the three constructs that knowledge brokers act upon in the i-PARIHS framework: innovation, recipients, and context. Knowledge brokers experienced different types of failure across these constructs, ranging from violations of prescribed practices and processes to exploratory testing. Discussion and conclusions: Failure is not a monolithic outcome, and future research could seek to identify levers for change regarding the failure experiences available to knowledge brokers. Additionally, it will not be enough to learn to fail; research and practice in knowledge brokering must learn to fail intelligently. Finally, failure cannot remain a private experience. Advancing the field of knowledge brokering will require researchers and practitioners to share when and how their efforts have failed.

The “Transnational Business of Death” Among Somali Migrants in the Streets of Athens

Abstract Migrants risk their lives when venturing out on hazardous journeys to escape unbearable situations in their countries of origin. Some, unfortunately, lose their lives en route. When such tragedies happen, a border-crossing social network of brokers, fellow travelers, family members, and friends of the deceased engage in a “transnational business of death” involving exchanges of money, things, information, and rumors. Based on ethnographic fieldwork among Somali women and men from 2013 to 2016, this article explores how the death of one Somali woman was dealt with on a particular street in Athens, Greece. The article argues that an informal economy arises as a reaction to the lack of legal, formal support from the Greek nation-state when it comes to dealing with the deaths of loved ones among undocumented migrants.

Improved End-to-end service assurance and mathematical modeling of message queuing telemetry transport protocol based massively deployed fully functional devices in smart cities

QoS is an arguable feature of Message Queuing Telemetry Transport Protocol (MQTT) that is employed under constrained environment for communication over an unreliable network in smart cities. It gives extra control to the client for matching its needs according to the application but with confiscated network performance. For a reliable end-to-end service assurance, guaranteed QoS and controlled scalability, MQTT based IoT must be examined for various network parameters. In this work, an improved TCP based transparent MQTT network is proposed for massively deployed connected devices in smart cities. The mathematical modeling is carried out by analyzing end-to-end quality assurance. Network latency, content delivery rate, number of subscribe/publish requests and services offered by the MQTT broker for various topic IDs are then verified on physical network. These parameters are examined over a transparent gateway-based network for verifying the agreement of devised probability based mathematical model with the actual content delivery, service rate and request hold time at virtual machine based MQTT broker, local network broker and remote server respectively. The Improved MQTT model surpasses Apollo, RabbitMQ and Mosquitto server by evidencing the message queueing delay of 3.5 ms for QoS-0 and 3.6 ms for QoS-1 service IoT.

Network Brokerage and Self-Rated Popularity Among Lao School-Based Children: Findings From Primary Survey Data

This study examines whether and how an individual’s subjective, or self-rated, popularity is related to one’s structural position in the peer network, as measured by betweenness centrality and structural hole measure. Data were drawn from the original fieldwork conducted in Laos ( N = 1,490; boys = 40%; Mage = 13), a low-income country in Southeast Asia. Using friendship nominations, we constructed a global network matrix based on which sociometric variables were calculated. Findings from hierarchical linear models showed that net of sociometric and other controls, network brokers—those who span more structural holes or bridge across more disconnected dyads pairs—indeed perceive themselves as being “more popular.” Subjective, net of objective, measure of popularity should be incorporated as a critical component in the lives of young people.

Cognitive Network Architecture Systems to Provide Intelligent Services: An Intelligent Self-Organization Approach With a Game-Based Incentive Mechanism

There will exist a growing interest in deploying data-intensive and content-rich applications on mobile smart devices. Also, ultrareliable and low-latency communications will be the critical requirements for obtaining good quality of experience for users of smart devices. However, the existing cellular architectures hardly provide a rich and stable spectrum supply to support ultrareliable and low-latency communications. Although future wireless networks are expected to effectively exploit the terahertz frequency band, it is difficult to obtain stable, ultrareliable, and low-latency communications due to the immaturity of both propagation models and radio interface technologies in such a high-frequency band. Therefore, this article introduces cognitive network brokers based on a data-driven cognitive network architecture to integrate and make full use of various resources to provide good network services for users, including an engine for spectrum and device cognition and an engine for cognitive network service construction.

Resource allocation in power-sharing arrangements – evidence from Lebanon

Power-sharing arrangements allocate not only political power but also economic resources from valuable state functions among powerful elites. Two broad hypotheses emerge from the existing literature regarding how elites allocate such resources: elites either distribute the control over valuable institutions or share the rents they generate. This article investigates which mechanism prevails by focusing on a major source of such resources: public procurement of large infrastructure projects. We analyse an original data set of infrastructure procurement contracts in Lebanon and investigate which politically connected firms receive larger contracts than non-connected firms. We find that firms receive inflated contracts only when they are connected to elites with a ‘seat at the table’ at the board of the implementing agency, rather than the wider set of powerful political elites. We argue that resource distribution depends on elites’ access to important institutional functions, rather than other conceivable mechanisms of resource sharing. By penetrating key positions with loyal personnel, elites serve as brokers in collusive networks, or cartels, that succeed in undermining a process as complex as infrastructure procurement.

'The broker also told me that I will not have problems after selling because we have two and we can survive on one kidney': Findings from an ethnographic study of a village with one kidney in Central Nepal.

Kidney selling is a global phenomenon engraved by poverty and governance in low-income countries with the higher-income countries functioning as recipients and the lower-income countries as donors. Over the years, an increasing number of residents in a village near the capital city of Nepal have sold their kidneys. This study aims to explore the drivers of kidney selling and its consequences using ethnographic methods and multi-stakeholder consultations. An ethnographic approach was used in which the researcher lived and observed the residents' life and carried out formal and informal interactions including in-depth interviews with key informants, community members and kidney sellers in Hokse village, Kavrepalanchok district. Participants in the village were interacted by researchers who resided in the village. In addition, remote interviews were conducted with multiple relevant stakeholders at various levels that included legal workers, government officers, non-government organization (NGO) workers, medical professionals, and policymaker. All formal interviews were audio-recorded for transcription in addition to field notes and underwent thematic analysis. The study identified processes, mechanisms, and drivers of kidney selling. Historically, diversion of a major highway from the village to another village was found to impact the livelihood, economy and access to the urban centres, ultimately increasing poverty and vulnerability for kidney selling. Existing and augmented deprivation of employment opportunities were shown to foster emigration of villagers to India, where they ultimately succumbed to brokers associated with kidney selling. Population in the village also maintained social cohesion through commune living, social conformity (that had a high impact on decision making), including behaviours that deepened their poverty. Behaviours such as alcoholism, trusting and following brokers based on the persuasion and decision of their peers, relatives, and neighbours who became the new member of the kidney brokerage also contributed to kidney selling. The other reasons that may have influenced high kidney selling were perceived to be a poor level of education, high demands of kidneys in the market and an easy source of cash through selling. In Hokse village, kidney selling stemmed from the interaction between the brokers and community members' vulnerability (poverty and ignorance), mainly as the brokers raised false hopes of palliating the vulnerability. The decision-making of the villagers was influenced heavily by fellow kidney sellers, some of whom later joined the network of kidney brokers. Although sustained support in livelihood, development, and education are essential, an expanding network and influence of kidney brokers require urgent restrictive actions by the legal authority.

Digital democracy and brokerage dynamics in regional head elections in Indonesia

The progress of the digitalization era in democracy has led to changes in the current political contestation, especially the way candidates approach voters. This study explores broker schemes in the digital world regarding how candidates use social media to build a broker network. This study used qualitative research, by observing social media and interviewing several key informants. This study finds that in the era of digital democracy, candidates use social media to develop digital brokers, but as a pre-elaboration and intensively introduce the candidate's real work to voters. Some candidates believe that conventional brokers are still final in knowing and binding broker loyalty, but winning candidates experiment with digital brokers. On the other hand, digital democracy has provided space for candidates to focus on brokers on social media to code the brokers who will be targeted or nominated to become structured conventional brokers. This study expands the study of brokers in electoral political studies, especially insights related to digital brokerage schemes and adds focus to the study of regional elections in Indonesia. This study concludes that digital brokers are a strategy for expanding digital voter networks and persuading candidates' work to voters on social media in the long term.

Brokerage dynamics in technology transfer networks: A multi-case study

This paper examines brokerage dynamics in technology transfer networks (TTNs), i.e., hybrid networks of different actors operating in the transitional area between knowledge and business ecosystems (i.e., innovation ecotones), with research organizations as anchor tenants. This particular type of network is gaining increasing attention. However, despite evidence of the importance of brokerage dynamics for knowledge mobility anchored in science and technology research, three main questions remain open: Who acts as network broker in TTNs? What are their specific functions? What mechanisms do they adopt to support these functions? To answer these questions, we conducted an in-depth multi-case study focusing on three European centers of excellence in scientific research, namely the University of Cambridge (UK), the École Polytechnique Fédérale de Lausanne (Switzerland), and the Italian Institute of Technology (Italy). We find that institutional actors as well as individuals act as network brokers in TTNs, and that brokerage manifests with varying degrees of formalization related to the TTN's level of maturity. We also identify six network brokerage functions, namely conflict resolution, spreading knowledge, linking idea fragments, connecting problems to solutions, expanding the network, and strengthening the network, and five mechanisms, namely endorsement, mediation, events, antennas, and digital support systems, that support these functions.

Trees as brokers in social networks: Cascades of rights and benefits from a Cultural Keystone Species

Indigenous trees play key roles in West African landscapes, such as the néré tree (Parkia biglobosa (Jacq.) R.Br. ex G.Don). We applied social–ecological network analysis to understand the social–ecological interactions around néré. We documented the benefits néré provides and the multiple social interactions it creates amongst a large range of actors. The flows of rights over the trees and benefits from them formed two hierarchical networks, or cascades, with different actors at the top. The two forms of power revealed by the two cascades of rights and benefits suggest possible powers and counter-powers across gender, ethnicity, and age. We documented how the tree catalyses social interactions across diverse groups to sustain vital social connections, and co-constitute places, culture, and relationships. We argue that a paradigm shift is urgently needed to leverage the remarkable untapped potential of indigenous trees and Cultural Keystone Species in current global restoration and climate change agendas.

OVERCOMING THE LIABILITY OF POORNESS: SOCIAL CAPITAL RESOURCES OF FEMALE ENTREPRENEURS IN INDIA

This paper seeks to use social capital theory to explain how impoverished women may find success and lift themselves out of poverty. The research addresses three unique, significant areas of study. First, by reviewing relevant theory and research on livelihood creation and social networks, a new lens for examining social capital in the context of poverty is provided. Second, a model is tested examining the role of an entrepreneur’s social capital resources on the development of their own livelihood creation and the consequential changes in the entrepreneur’s lifestyle. The research finds that weak social network ties are positively related to livelihood creation, with counter-intuitive results regarding lifestyle changes in response to the changes in livelihood creation. Third, the above model is applied to female entrepreneurs, utilizing a sample of women associated with SEWA (Self-Employed Women’s Association), a network broker and business incubator trade union working in impoverished communities in and around Ahmedabad, Gujarat, in India.

Social Brokerage: Accountability and the Social Life of Information

Social accountability initiatives seek to empower citizens to hold officials to account between and beyond elections, yet often meet with mixed results. This article highlights a neglected dimension in the study of accountability: intermediation by brokers who share and frame information. In contrast to literature that focuses on political brokers in clientelist networks, I introduce the concept of social brokerage: efforts to motivate and to link action by citizens and officials, without the expectation of an electoral return. I illustrate the practice of social brokerage in India, through study of a network of citizen journalists who attempt to mobilize citizen claim-making and to encourage official responsiveness to those claims. I argue that effective social brokerage requires both vernacularization (giving information meaning in local contexts) and interlocution (speaking to and between multiple audiences). This, in turn, rests upon a powerful—but often elusive—combination of community embeddedness and ties to bureaucracy.

Non-Coding RNAs Are Brokers in Breast Cancer Interactome Networks and Add Discrimination Power between Subtypes.

Despite the power of high-throughput genomics, most non-coding RNA (ncRNA) biotypes remain hard to identify, characterize, and validate. This is a clear indication that intensive next-generation sequencing research has led to great efficiency and accuracy in detecting ncRNAs, but not in their functionalization. Computational scientists continue to support the discovery process by spotting significant data features (expression or mutational profiles), elucidating phenotype uncertainty, and delineating complex regulation landscapes for biological pathways and pathophysiological processes. With reference to transcriptome regulation dynamics in cancer, this work introduces a novel network-driven inference approach designed to reveal the potential role of computationally identified ncRNAs in discriminating between breast cancer (BC) subtypes beyond the traditional gene expression signatures. As heterogeneity cast in the subtypes is a characteristic of most cancers, the proposed approach is generalizable beyond BC. Expression profiles of a wide transcriptome spectrum were obtained for a number of BC patients (and controls) listed in TCGA and processed with RNA-Seq. The well-known PAM50 subtype signature was available for the samples and used to move from differentially expressed transcript profiles to subtype-specific biclusters associating gene patterns with patients. Co-expressed gene networks were then generated and annotations were provided, focusing on the biclusters with basal and luminal signatures. These were used to build template maps, i.e., networks in which to embed the ncRNAs and contextually functionalize them based on their interactors. This inference approach is able to assess the influence of ncRNAs at the level of BC subtype. Network topology was considered through the brokerage measure to account for disruptiveness effects induced by the removal of nodes corresponding to ncRNAs. Equivalently, it is shown that ncRNAs can act as brokers of network interactome dynamics, and removing them allows the refinement of subtype-related characteristics previously obtained by gene signatures only. The results of the study elucidate the role of pseudogenes in two major BC subtypes, considering the contextual annotations. Put into a wider perspective, ncRNA brokers may help predictive functionalization studies targeted to new disease phenotypes, for instance those linked to the tumor microenvironment or metabolism, or those specifically involving metastasis. Overall, the approach may represent an in silico prioritization strategy toward the systems identification of new diagnostic and prognostic biomarkers.

Bridging the Gap: Evidence from the Return Migration of African Scientists

Although prior research has highlighted the benefits that accrue to brokers in innovation networks, much less attention is devoted to understanding who benefits from associating with a broker. This study focuses on the impact of associating with a specific kind of broker—a core/periphery bridge—that is, one that spans central and peripheral actors. I argue that actors associated with a core/periphery bridge benefit more when they have no central connection, or are outsiders in the network, due to their greater need for sponsorship from the broker. I explore this idea in the context of the return migration of American-trained scientists to African institutions, who span the core and the periphery of the global scientific network. I evaluate the impact of their return on the publication outcomes of nonmigrant scientists based in African institutions and find that following the arrival of a returnee in their institution, the nonmigrants who are not already connected to scientists in top global institutions have a greater publication output through improved access to central knowledge and connections. The findings contribute to a better understanding of how brokers can influence innovation systems more broadly. Supplemental Material: The online appendices available at https://doi.org/10.1287/orsc.2022.1580 .