Organizational Networks Research Articles

Abstract SY35-02: Spatial mapping of mitochondrial networks in lung cancer

Abstract Mitochondria are critical to the governance of metabolism and bioenergetics in cancer cells. The mitochondria form highly organized networks, in which their outer and inner membrane structures define their bioenergetic capacity. However, in vivo studies delineating the relationship between the structural organization of mitochondrial networks and their bioenergetic activity have been limited. Here we present an in vivo structural and functional profiling of mitochondrial networks and bioenergetic phenotypes in non-small cell lung cancer (NSCLC) using an integrated platform comprised of positron emission tomography (PET) imaging, respirometry and 3-dimensional scanning block-face electron microscopy (3D SBEM). Interestingly, the diverse bioenergetic phenotypes and metabolic dependencies we identified in NSCLC tumors align with distinct structural organization of mitochondrial networks present. Further, we discovered that mitochondrial networks are organized into distinct compartments within tumor cells. In tumors with high rates of oxidative phosphorylation (OXPHOSHI) and fatty acid oxidation we identified peri-droplet mitochondrial networks wherein mitochondria contact and surround lipid droplets. In contrast, we discovered that in tumors with low rates of OXPHOS (OXPHOSLO), high glucose flux regulated i) peri-nuclear localization of mitochondria, ii) structural remodeling of cristae and iii) mitochondrial respiratory capacity. Our findings suggest that in NSCLC, mitochondrial networks are compartmentalized into distinct subpopulations that govern the bioenergetic capacity of tumors. Structure-and-function studies defining the relationship between mitochondrial architecture and metabolic dependencies may hold promise as strategies to profile metabolic liabilities unique to lung cancer subtypes. We anticipate that coupling PET imaging with 3D SBEM will have dynamic applications beyond that of lung cancer and enrich our understanding of how mitochondrial bioenergetics impact human disease. Citation Format: David B. Shackelford. Spatial mapping of mitochondrial networks in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr SY35-02.

Examining Sexual Health Organizational Networks in Urban African American Communities Using Social Network Theory.

Collaboration among organizations offering sexual health and youth development services has the potential to provide youth with effective sexual health support. However, formally structured efforts (eg, coalition formation) may be impractical or unsuitable for low-income communities where resources are often already limited. Social network theories provide an alternative approach for building collaborative organizational networks. Research aims to evaluate the barriers and facilitators to collaboration in sexual health organizational networks. Organizations in low income, urban, communities in Chicago and San Francisco that serve African American adolescents. Providers (n = 22) from organizations that offer sexual health services and youth development services. Focus groups (n = 4) were conducted and analyzed utilizing a combination of coding strategies. Barriers to collaboration included resource limitations and competition, differences in organizational roles and deliverables, and prejudice and stigma. Identifying common ground among organizations was found to be a facilitator to collaboration. Social network concepts in conjunction with study findings lead to the development of a practice model that hypothesizes a pathway for organizations to improve collaboration without formally structured efforts. Our findings offer ways to encourage collaboration among organizations that support youth sexual health in low-income, urban, African American communities without relying on formal structures. Such collaborations may be critical for improving the provision of comprehensive sexual health support.

Optimizing flood disaster management: unraveling the role of social organizations in China’s GBA through social network analysis

This study delves into the efficiency and structure of the social organization network involved in flood disaster management in China’s Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Leveraging the global knowledge graph, we analyzed social media data and news reports to identify the pivotal roles and interactions of various social organization types in flood disaster governance. The empirical findings underscore the central role of national public social organizations, evidenced by their high frequency of news coverage and mentions. Meanwhile, International Social Organizations and Local Public Social Organizations exhibit growing influence and participation. As China shifts toward a comprehensive disaster reduction strategy, the study observes increased diversity and decentralization among these organizations, with non-governmental organizations and volunteer groups playing vital roles in resource mobilization, information dissemination, and disaster coordination. Network analysis unveils evolving interaction patterns and co-occurrence frequencies among social organizations, reflecting the evolving roles of different organization types in disaster relief. This research aims to provide actionable insights to enhance the effectiveness of social organizations in disaster management, contributing to the establishment of a more resilient and efficient disaster management framework in the GBA.

Supply Chain Economics: A Fresh Lens for Holistic Analysis

Global pandemics, military conflicts, and natural disasters are crescively disrupting increasingly complex supply chains. But neither the social science of economics or decision science of supply chain management were sufficient to anticipate, much less mitigate the depth, breadth, or duration of the disruptions and damage wrought by COVID-19 or Russia’s invasion of Ukraine. Economics is the study of production, distribution, and consumption of goods and services, and creation and transfer of wealth. Supply chain management is the management of a network of organizations, internal and external, by which an organization pursues its own goals and objectives. Process focus is integral to supply chain management, as operations management is the management of an organization’s processes to pursue its goals and objectives. Adherence to processes is necessary for organizations to consistently reach their goals and objectives. When organizations execute consistently, they can leverage that quality for lower costs, greater volume, higher prices, or additional stakeholder goodwill. By combining these concepts, supply chain economics can be framed as the systematic study of the production, distribution, and consumption of goods, services, and capital by networks of organizations, internal and external, with which any given organization pursues its goals and objectives.

How Can Fund Leaders Utilize Organizational Networks to Enhance Organizational Sustainable Performance Using the Funds’ Co-Holding Network as a Tool

With the intensification of economic uncertainty and the increasingly fierce competition in the fund industry, how to use the organizational network to improve the sustainable performance of the fund has become a very urgent issue. However, most of the existing research focuses on the impact of the microstructure of a single social or business network before fund leaders make decisions on the performance of fund organizations, which has the defects of incomplete information sets and the inability of leaders to identify all information and then affect organizational learning and performance. This paper constructs two kinds of fund co-holding networks as two kinds of inter-fund organization networks based on the indirect relationship between the co-holding of large and small funds and the co-holding of large funds. The study not only overcomes the above defects, but also finds that: (a) the status and power of different organizations in the two networks are unbalanced in terms of the macro overall network, the meso community and the micro individual structure, and the “super excellent community” and “benchmark fund” group occupy the core position in the network. (b) With the fund co-holding network as a tool, fund leaders can reduce risks and improve the sustainable performance of funds by observing and learning the behaviors of excellent associations and benchmark funds in the network. We provides a reference for further understanding the characteristics of inter-fund organizational networks and the rational use of organizational networks by leaders of financial organizations for organizational learning and sustainable performance improvement.

Unveiling the Impact of Communication Network on Engineering Project Team Performance: The Interplay of Centralization and Tie Strength.

Recent research has focused on the impact of communication networks on the performance of construction project teams, attempting empirical exploration from various social network analysis perspectives. However, there is still a significant gap in understanding the variations in performance and the mechanisms for teams using different communication networks. Drawing from organizational learning theory and social network theory, this study, based on the Input-Mediator-Output (IMO) model, explores the effects of the interaction between centralization and tie strength in communication networks on team performance, as well as the mediating mechanisms of knowledge sharing behavior and team resilience performance in engineering project teams. Drawing on classic group communication experiment, we design an online communication and collaboration platform to simulate the execution of a construction engineering project. Finally, data was collected through the communication experiment with 720 participants, and hypotheses were tested using ANOVA and PROCESS. The results indicate that under conditions of weak tie strength, centralized communication networks yield higher performance. Conversely, under conditions of strong tie strength, decentralized communication networks demonstrate superior performance. Furthermore, this study also verifies the mediating role of knowledge sharing behavior and team resilience performance when tie strength is strong. This study focuses on engineering project team, exploring the evolutionary development of knowledge sharing behavior and team resilience performance from the perspective of the interaction of communication network structural characteristics, as well as the paths to enhancing team performance. Our research results highlight the interactive effects of structural indicators and relational indicators of communication networks, revealing the mechanism by which the structure of communication networks impacts team performance. Additionally, from the perspectives of forming and timely adjusting team communication models, and motivating and supporting employee communication behavior, our study provides practical insights for project managers and relevant administrators.

A service-oriented approach to clinical trial recruitment for dementia and brain health: Methods and case examples of MyAlliance for Brain Health.

Recruitment of sufficient and diverse participants into clinical research for Alzheimer's disease and related dementias remains a formidable challenge. The primary goal of this manuscript is to provide an overview of an approach to diversifying research recruitment and to provide case examples of several methods for achieving greater diversity in clinical research enrollment. The University of Kansas Alzheimer's Disease Research Center (KU ADRC) developed MyAlliance for Brain Health (MyAlliance), a service-oriented recruitment model. MyAlliance comprises a Primary Care Provider Network, a Patient and Family Network, and a Community Organization Network, each delivering tailored value to relevant parties while facilitating research referrals. We review three methods for encouraging increased diversity in clinical research participation. Initial outcomes reveal an increase in underrepresented participants from 17% to 27% in a research registry. Enrollments into studies supported by the research registry experienced a 51% increase in proportion of participants from underrepresented communities. MyAlliance shifts power, resources, and knowledge to community advocates, promoting brain health awareness and research participation, and demands substantial financial investment and administrative commitment. MyAlliance offers valuable lessons for building sustainable, community-centered research recruitment infrastructure, emphasizing the importance of localized engagement and cultural understanding. MyAlliance led to a significant increase in the representation of underrepresented racial and ethnic groups and individuals from rural areas.The service-oriented approach facilitated long-term community engagement and trust-building, extending partnerships between an academic medical center and community organizations.While effective, MyAlliance required substantial financial investment, with costs including infrastructure development, staff support, partner organization compensation, and promotional activities, underscoring the resource-intensive nature of inclusive research recruitment efforts.

How Does Organization Network and Market Orientation Affect Marketing Performance? Case of PTPN IX Downstream Products, Central Java

This study aims to determine the effect of organizational network and market orientation on marketing performance on downstream products of PTPN IX Central Java. The sample is 34 respondents with a nonprobability sampling technique using the census method. The independent variables in this study are organizational networks and market orientation, then the dependent variable is marketing performance. The data collection method used in this study is a questionnaire. The data analysis method used is descriptive analysis and multiple linear regression analysis. Based on the research results, organizational networks positively and significantly affect marketing performance. The market orientation has a positive and significant effect on the marketing performance of downstream products of PTPN IX in Central Java. Marketing performance impacts sales turnover, sales increase and marketing reach. Therefore, management must pay attention to every relationship, whether friends, business relations or partner companies, both large and small, and fulfill customer orientation, threats from competitors, and market information.

The Role of Threat Intelligence in Enhancing Cybersecurity Posture

Organizations confront more complex and persistent cyberattacks in the quickly changing cyber threat landscape of today. Through the provision of actionable insights on emerging threats, adversary tactics, and vulnerabilities, cyber threat intelligence (CTI) becomes an increasingly important component in strengthening the cybersecurity posture of organizational networks. The importance of CTI and its useful uses in enhancing cybersecurity defences are examined in this research study. It explores the several kinds of threat intelligence, methods for compiling and evaluating threat information, and proactive steps that businesses may take to make the most of CTI. This study emphasizes the significance of incorporating CTI into cybersecurity plans to more effectively identify, prevent, and respond to cyber attacks through a thorough review of industry practices and case studies. Organizations may improve their defences against cyberattacks and enhance vital assets and data by comprehending the role that CTI plays in cybersecurity.

Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation

Recent years have witnessed a dramatic increase in a class of security threats known as "insider threats". These threats occur when individuals with authorized access to an organization's network engage in harmful activities, potentially leading to the disclosure of vital information or adversely affecting the organization's systems (e.g., financial loss, system crashes, and national security challenges). Distinct from other types of terror attacks, combating insider threats exhibits several unique challenges, including (1) rarity, (2) non-separability, (3) label scarcity, (4) dynamics, and (5) heterogeneity, making themselves extremely difficult to identify and mitigate. We target the challenging problem of combating insider threats in open-world environments by leveraging a variety of data sources (e.g., internal system logs, employee networks, human trafficking, and smuggling networks). To effectively combat these intricate threats, we introduce an interactive learning mechanism that is composed of three mutually beneficial learning modules: insider identification, insider monitoring, and data augmentation. Each module plays a crucial role in enhancing our ability to detect and mitigate insider threats, thereby contributing to a more secure and resilient organizational environment.

Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics

BackgroundGestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.MethodsWe developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005–2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories.ResultsThe cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester.ConclusionsThe PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Characterizing Food Policy Councils' Network Partnerships and COVID-19 Responses.

The COVID-19 pandemic pushed millions of Americans into food insecurity. Food policy councils (FPCs) across the country played a vital role in organizing coordinated food responses across multiple sectors. We used a social network analysis (SNA) approach to investigate: (1) the network of partnering organizations and agencies within FPCs; (2) how the characteristics of FPCs' network partnerships (i.e., degree, coreness, and density) related to programmatic, policy, and advocacy actions in response to the pandemic; and (3) how FPCs' use of a racial or social equity framework shifted their network partnerships and responses. Local government agencies and food supply chain actors were core in FPCs' network partnerships, while public utilities, correctional facilities, social justice groups, and others were non-core partners. Network density was more likely to be associated with any action by FPCs, and it was especially pronounced for advocacy actions taken by FPCs; trends were similar among FPCs that reported using a racial or social equity framework. The findings begin to uncover core actors in FPCs' partnerships and opportunities to establish new partnerships, particularly with social justice groups. The results also suggest that network density (interconnectedness) may be more important than other network characteristics when responding to food-related needs.

Predicting and Visualizing Lateral Movements Based on ATT&CK and Quantification Theory Type 3

When a cyber incident occurs, organizations need to identify the attack's impacts. They have to investigate potentially infected devices as well as certainly infected devices. However, as an organization's network expands, it is difficult to investigate all devices. In addition, the cybersecurity workforce shortage has risen, so organizations need to respond to incidents efficiently with limited human resources. To solve this problem, this paper proposes a tool to assist an incident response team. It can visualize ATT&CK techniques attacker used and, furthermore, detect lateral movements efficiently. The tool consists of two parts: a web application that extracts ATT&CK techniques from logs and a lateral movement detection system. The web application was implemented and could map the collected logs obtained from an actual Windows device to the ATT&CK matrix. Furthermore, actual lateral movements were performed in an experimental environment that imitated an organizational network, and the proposed detection system could detect them.

Developing Community-Level Implementation Networks to Connect Older Adults to Evidence-Based Falls Prevention Programs.

Background: Evidence-based falls prevention programs are available in many communities, but participation in such programs remains low. This study aimed to develop community-based referral networks of organizations to facilitate the uptake of evidence-based falls prevention programs through engaging older adults at risk for falls with the RememberingWhen™ program and connecting them to evidence-based programs in Midwestern communities. Methods: Guided by the Practical, Robust Implementation and Sustainability Model (PRISM), referral networks were developed in two Midwestern communities (urban and micropolitan) through a seven-step community engagement plan: establishing and operationalizing the State-level Advisory Board (SAB), identifying falls prevention resources, conducting community assessments, developing Local Advisory Groups (LAG), operationalizing the LAG, developing referral network and protocols, and implementing the network. Semistructured interviews guided by the RE-AIM framework were conducted with members of the SAB, LAG, administrators and staff from organizations that participated in networks, and older adult participants. Results: After participating in the development of referral networks, participants felt they learned important skills that they can use to develop additional collaborations and networks in the future, emphasized the benefits of building community capacity among organizations with common missions. Interview data yielded strategies on enhancing the referral network's reach, impact, adoption, implementation efficiency, and maintenance. Conclusion: Future sustainability studies of such networks should explore identified challenges and strategies to sustain efforts. Results highlight the importance of ongoing funds to support the efforts of organizational networks in communities.

Learning ambidexterity and technology innovation: The moderating effect of knowledge network modularity

The aim of this paper is to investigate the impact of learning ambidexterity on firms’ technological innovation, especially in the context of varying degrees of modularity in firms’ knowledge networks. By combining temporal and cognitive aspects, this study focuses on the micro-level utilization of knowledge and redefines exploratory and exploitative learning as learning unfamiliar and familiar knowledge, respectively. Building upon previous research, we classify learning ambidexterity into combined and balanced forms, further investigate their influence on innovation performance. Utilizing a panel data set spanning 10 years of 63 semiconductor firms listed in the US market, our findings reveal that combined learning ambidexterity effectively harnesses the complementary effects of both learning patterns, resulting in a positive influence on technological innovation. Conversely, balanced learning ambidexterity hampers knowledge transferability between these two patterns leading to a negative impact on technological innovation. Additionally, we employ patent data to measure the degree of modularity within firms’ knowledge networks. Our results indicate that higher levels of modularity enhance the positive effect of combined learning ambidexterity on innovation while mitigating its negative impact for balanced learning ambidexterity. These findings suggest the importance for firms to strategically manage and dynamically orchestrate learning ambidexterity alongside double-loop learning practices, while continuously structuring and facilitating reuse within organizational knowledge networks to create favorable circumstances for the effective implementation of learning ambidexterity.

The sources of influence in multilateral diplomacy: Replaceability and intergovernmental networks in international organizations

The sources of influence in multilateral diplomacy: Replaceability and intergovernmental networks in international organizations

Tapping into the human spinal locomotor centres with transspinal stimulation

Human locomotion is controlled by spinal neuronal networks of similar properties, function, and organization to those described in animals. Transspinal stimulation affects the spinal locomotor networks and is used to improve standing and walking ability in paralyzed people. However, the function of locomotor centers during transspinal stimulation at different frequencies and intensities is not known. Here, we document the 3D joint kinematics and spatiotemporal gait characteristics during transspinal stimulation at 15, 30, and 50 Hz at sub-threshold and supra-threshold stimulation intensities. We document the temporal structure of gait patterns, dynamic stability of joint movements over stride-to-stride fluctuations, and limb coordination during walking at a self-selected speed in healthy subjects. We found that transspinal stimulation (1) affects the kinematics of the hip, knee, and ankle joints, (2) promotes a more stable coordination at the left ankle, (3) affects interlimb coordination of the thighs, and (4) intralimb coordination between thigh and foot, (5) promotes greater dynamic stability of the hips, (6) increases the persistence of fluctuations in step length variability, and lastly (7) affects mechanical walking stability. These results support that transspinal stimulation is an important neuromodulatory strategy that directly affects gait symmetry and dynamic stability. The conservation of main effects at different frequencies and intensities calls for systematic investigation of stimulation protocols for clinical applications.

Invulnerability analysis of nuclear accidents emergency response organization network based on complex network

Invulnerability analysis of nuclear accidents emergency response organization network based on complex network

Stretch your SNAP: Stakeholder perspectives of a novel benefits program to enhance diet quality

ObjectiveFamilies enrolled in the Supplemental Nutrition Assistance Program (SNAP) report persistent barriers to purchasing nutritious foods. This mixed-methods study explored SNAP users’ food and beverage purchasing patterns and perspectives regarding potential modifications to SNAP to inform the design of SNAP+, a healthy incentive program to increase fruit and vegetable (FV) and decrease sugar-sweetened beverage (SSB) purchases. MethodsParticipants were recruited through a non-profit organizational network to participate in an online survey. Survey measures included: SNAP usage patterns, meal/shopping patterns, and perceptions of potential changes to SNAP. A subset (N = 28) was invited to participate in an interview to further explore these domains. Frequencies were calculated to explore trends in quantitative data, with thematic analysis applied to qualitative data. ResultsParticipants (N = 278) identified as female (81.0 %), head of household (90.8 %) and mothers (70.5 %), with most (66.5 %) using SNAP ≥ 1 year. Most spend >$15 of SNAP (87.1 %) and >$15 of non-SNAP (60.8 %) dollars on FVs/month. Respondents spend <$5 of SNAP (34.2 %) and non-SNAP (47.5 %) dollars on SSBs/month. Factors shaping purchasing behaviors included: cost (71.6 %), health (80.2 %) and avoiding waste (73.0 %). Inflation and existing purchasing patterns motivated interest in potentially enrolling in SNAP +. Diminished autonomy and a need to reallocate other funds to purchase SSBs were identified as enrollment deterrents. ConclusionSNAP users were generally receptive to modifications that would pair FV incentives with SSB restrictions, yet strategies to maintain autonomy are needed. Results can inform the design of SNAP + to enhance its potential as strategy to positively shape dietary intake patterns.

The Adhesive Capsulitis Corticosteroid and Dilation (ACCorD) randomized controlled trial.

Is it feasible to conduct a definitive multicentre trial in community settings of corticosteroid injections (CSI) and hydrodilation (HD) compared to CSI for patients with frozen shoulder? An adequately powered definitive randomized controlled trial (RCT) delivered in primary care will inform clinicians and the public whether hydrodilation is a clinically and cost-effective intervention. In this study, prior to a full RCT, we propose a feasibility trial to evaluate recruitment and retention by patient and clinician willingness of randomization; rates of withdrawal, crossover and attrition; and feasibility of outcome data collection from routine primary and secondary care data. In the UK, the National Institute for Health and Care Excellence (NICE) advises that prompt early management of frozen shoulder is initiated in primary care settings with analgesia, physiotherapy, and joint injections; most people can be managed without an operation. Currently, there is variation in the type of joint injection: 1) CSI, thought to reduce the inflammation of the capsule reducing pain; and 2) HD, where a small volume of fluid is injected into the shoulder joint along with the steroid, aiming to stretch the capsule of the shoulder to improve pain, but also allowing greater movement. The creation of musculoskeletal hubs nationwide provides infrastructure for the early and effective management of frozen shoulder. This potentially reduces costs to individuals and the wider NHS perhaps negating the need for a secondary care referral. We will conduct a multicentre RCT comparing CSI and HD in combination with CSI alone. Patients aged 18 years and over with a clinical diagnosis of frozen shoulder will be randomized and blinded to receive either CSI and HD in combination, or CSI alone. Feasibility outcomes include the rate of randomization as a proportion of eligible patients and the ability to use routinely collected data for outcome evaluation. This study has involved patients and the public in the trial design, dissemination methods, and how to include groups who are underserved by research. We will disseminate findings among musculoskeletal clinicians via the British Orthopaedic Association, the Chartered Society of Physiotherapy, the Royal College of Radiologists, and the Royal College of General Practitioners. To ensure wide reach we will communicate findings through our established network of charities and organizations, in addition to preparing dissemination findings in Bangla and Urdu (commonly spoken languages in northeast London). If a full trial is shown to be feasible, we will seek additional National Institute for Health and Care Research funding for a definitive RCT. This definitive study will inform NICE guidelines for the management of frozen shoulder.