Affiliation Networks Research Articles

Conscious selection: Critical consciousness informs cultivation of social networks in a living and learning community

AbstractIncreased popular discourse about societal inequities highlights the importance of critical consciousness (CC) as a developmental competency for youth. Peer dialogue has been implicit to theories of CC, but we know little about how critical reflection, action, and sociopolitical efficacy inform interpersonal mechanisms through which social networks are selected in developmentally salient contexts. We used social network analysis methods to explore the role of CC components in how late adolescents cultivated their peer affiliation and friendship networks within a specific context of a college living and learning community. Participants (n = 37; 67.6% female; Mage = 18.18 years, 56.81% White) nominated individuals with whom they have positive interactions (437 nominations at wave 1) and friendships (157 nominations at wave 1) at two waves. At wave 1, participants reported on their CC components, frequency of daily inequities, and sociodemographic information. Stochastic actor‐oriented models were used to model how CC at wave 1 predicted how youth selected peer affiliations and friendships. Sociopolitical efficacy was positively associated with popularity in the affiliation network and activity in the friendship network. Critical action was negatively associated with both popularity and activity in the affiliation network and activity in the friendship network. These results provide new insights into how CC informs the ways young people cultivate their social networks in developmentally salient settings. This work highlights the need to better understand the relational implications of CC.

The "limbic network," comprising orbitofrontal and anterior temporal cortex, is part of an extended default network: Evidence from multi-echo fMRI.

Resting-state functional magnetic resonance imaging (fMRI) investigations have provided a view of the default network (DN) as composed of a specific set of frontal, parietal, and temporal cortical regions. This spatial topography is typically defined with reference to an influential network parcellation scheme that designated the DN as one of seven large-scale networks (Yeo et al., 2011). However, the precise functional organization of the DN is still under debate, with studies arguing for varying subnetwork configurations and the inclusion of subcortical regions. In this vein, the so-called limbic network-defined as a distinct large-scale network comprising the bilateral temporal poles, ventral anterior temporal lobes, and orbitofrontal cortex-is of particular interest. A large multi-modal and multi-species literature on the anatomical, functional, and cognitive properties of these regions suggests a close relationship to the DN. Notably, these regions have poor signal quality with conventional fMRI acquisition, likely obscuring their network affiliation in most studies. Here, we leverage a multi-echo fMRI dataset with high temporal signal-to-noise and whole-brain coverage, including orbitofrontal and anterior temporal regions, to examine the large-scale network resting-state functional connectivity of these regions and assess their associations with the DN. Consistent with our hypotheses, our results support the inclusion of the majority of the orbitofrontal and anterior temporal cortex as part of the DN and reveal significant heterogeneity in their functional connectivity. We observed that left-lateralized regions within the temporal poles and ventral anterior temporal lobes, as well as medial orbitofrontal regions, exhibited the greatest resting-state functional connectivity with the DN, with heterogeneity across DN subnetworks. Overall, our findings suggest that, rather than being a functionally distinct network, the orbitofrontal and anterior temporal regions comprise part of a larger, extended default network.

The effect of preferential associations on the reproductive performance of group-housed sows

The investigation of social bonds as a measure to improve reproduction in farmed species is an underrepresented research area. This study investigated the effects of preferential associations between group housed sows (average herd size, n = 59) on stillborn and crushed piglet numbers. Preferential associations were described as resting within < 1 m of a conspecific in which the proximity was tolerated > 60 s. The study occurred over 63 consecutive days, broken down into three 21-day periods referred to as cycles. The 21-day cycles represent the time between reintegrating events. Seven days per cycle were selected for observations providing 63 h of footage covering the functional areas of the barn. Production data were taken from one farrowing that occurred after a sow had been transferred from the barn to the farrowing house during the study period. For group-level analysis, the sows were categorised as socially prominent or non-socially prominent. Social prominence is defined as an individual that engages in significantly higher levels of interactions than their sub-group conspecifics. The subgroups were determined by our previous work that identified assortment by social connectivity within the same study herd. Each subgroup was defined as a k-core, in which the k-value represents the level of connectivity of those in the group (i.e., subgroup K1 means sows are connecting with at least one other conspecific). For individual-level analysis, sows were categorised as a sow with stillborn (at least one stillborn piglet) or a sow without stillborn (no stillborn piglets) and as a crushing sow (at least one crushed piglet) or a non-crushing sow (no crushed piglets). Degree centrality was applied to determine the number of interactions that individuals initiated and received. Results showed no overall effects of social prominence on live-born piglets (p = 0.436). Socially prominent sows demonstrated a lower mean rate of stillborn than non-socially prominent sows. Sows with stillborn had significantly lower degree centrality than sows without stillborn (p < 0.05). The numbers of crushed piglets between socially prominent and non-socially prominent sows were variable with crushing sows demonstrating significantly higher degree centrality than non-crushing sows (p < 0.05). Overall, the evidence does not provide a clear relationship between social prominence during gestation and the reproductive outputs of sows. Therefore, further work is required to validate the effects of social position in affiliative networks on the production indices of farmed pigs.

New Media in China and Kazakhstan: The Information Agenda in the Context of Modernization

Agenda-setting is a theory that examines the reconfiguration of the mass environment. Since 1968, when American communication scholars McCombs and Shaw began to systematically study the agenda-setting effect of mass communication, scholars around the world have conducted in-depth discussions on the topic and developed a number of theoretical hypotheses, including "attribute agenda-setting," "agenda fusion," "agenda setting by attributes," "agenda fusion," and "agenda setting by affiliated networks." To date, the concept of "agenda setting" remains a significant area of interest for scholars engaged in the study of public opinion.

Heterogeneity in Antidepressant Treatment and Major Depressive Disorder Outcomes Among Clinicians

While abundant work has examined patient-level differences in antidepressant treatment outcomes, little is known about the extent of clinician-level differences. Understanding these differences may be important in the development of risk models, precision treatment strategies, and more efficient systems of care. To characterize differences between outpatient clinicians in treatment selection and outcomes for their patients diagnosed with major depressive disorder across academic medical centers, community hospitals, and affiliated clinics. This was a longitudinal cohort study using data derived from electronic health records at 2 large academic medical centers and 6 community hospitals, and their affiliated outpatient networks, in eastern Massachusetts. Participants were deidentified clinicians who billed at least 10 International Classification of Diseases, Ninth Revision (ICD-9) or Tenth Revision (ICD-10) diagnoses of major depressive disorder per year between 2008 and 2022. Data analysis occurred between September 2023 and January 2024. Heterogeneity of prescribing, defined as the number of distinct antidepressants accounting for 75% of prescriptions by a given clinician; proportion of patients who did not return for follow-up after an index prescription; and proportion of patients receiving stable, ongoing antidepressant treatment. Among 11 934 clinicians treating major depressive disorder, unsupervised learning identified 10 distinct clusters on the basis of ICD codes, corresponding to outpatient psychiatry as well as oncology, obstetrics, and primary care. Between these clusters, substantial variability was identified in the proportion of selective serotonin reuptake inhibitors, selective norepinephrine reuptake inhibitors, and tricyclic antidepressants prescribed, as well as in the number of distinct antidepressants prescribed. Variability was also detected between clinician clusters in loss to follow-up and achievement of stable treatment, with the former ranging from 27% to 69% and the latter from 22% to 42%. Clinician clusters were significantly associated with treatment outcomes. Groups of clinicians treating individuals diagnosed with major depressive disorder exhibit marked differences in prescribing patterns as well as longitudinal patient outcomes defined by electronic health records. Incorporating these group identifiers yielded similar prediction to more complex models incorporating individual codes, suggesting the importance of considering treatment context in efforts at risk stratification.

Using GPS-defined venue-based affiliation networks among Black sexually minoritized men and transgender women to identify locations for HIV prevention interventions

PurposeHIV biomedical intervention uptake is suboptimal among Black sexually minoritized men (SMM) and transgender women (TW). Venues where people meet and interact shape HIV-related risk and prevention behaviors. We aimed to construct GPS-defined venue-based affiliation networks and identify the unique set of venues that could maximize reach of HIV biomedical interventions among Black SMM and TW. MethodsWe used baseline survey and GPS data from 272 Black SMM and TW in the Neighborhoods and Networks (N2) Cohort Study in Chicago, Illinois (2018–2019). We mapped participants’ GPS data to the nearest pre-identified SMM- and TW-friendly venue (n = 222) to construct affiliation networks. Network analyses were performed to identify influential venues that can yield high reach to intervention candidates. ResultsParticipants were affiliated with 75.5 % of all pre-identified venues based on GPS data. Two influential venues were identified in the non-PrEP use network, which when combined, could reach 52.5 % of participants not taking PrEP. Participants that could be reached through these two influential venues reported more non-main sex partners than participants not affiliated with either venue (p = 0.049). ConclusionWe demonstrate a potential for GPS-defined venue-based affiliation networks to identify unique combinations of venues that could maximize the impact of HIV prevention interventions.

Democratic participatory networks and governance processes in Sicily

Democratic participation improves the chances of success of local development policies. New governance processes that directly involve the actors who inhabit the territories are necessary for the challenges that sustainable growth requires. Therefore, the feedback on the pre-existing conditions of cooperation and coexistence is essential for carrying out actions with a place-based logic of development. The Innovation Helix Model allows us to understand the relational dynamics and support territorial strategies in enhancing innovation processes that contemplate the relationship between civil society, public and private institutions, and the natural environment from the perspective of a democratic approach. In this way, ecosystemic innovation is a dynamic network of territorial actors interconnected within a delimited geographical space. This study proposes an innovative way of investigating territorial relationship networks. It examines and describes the network deriving from the policies implemented in an internal area of Sicily. The governance processes implemented through partnership agreements between local actors over ten years have created relationships measured and described through Social Network Analysis (SNA), specifically with Affiliation Networks and Community Detection with a bipartite structure. The study moves towards an innovative territory analysis, looking for the relational links and providing references for building bottom-up policies with greater awareness.

Healthcare performance analytics based on the novel PDA methodology for assessment of efficiency and perceived quality outcomes: A machine learning approach

Efficient resource allocation in healthcare organizations remains a complex challenge, exacerbated by the intricate data structure and myriad variables involved. While traditional methods like Data Envelopment Analysis have been employed, these often lack the requisite discriminatory power for accurate evaluation. This study introduces the PDA methodology, a fusion of Principal Component Analysis, Data Envelopment Analysis, and Analysis of Variance algorithms, developed in a machine learning environment. To further optimize discriminative power, the Particle Swarm Optimization Algorithm was included. By applying the PDA methodology to hospitals in the Apulia region of Italy, we found that facilities with better perceived quality tend to be more efficient. Furthermore, we identified significant variations in efficiency based on network affiliation and hospital level. Machine learning algorithms, including linear regressions and neural networks, confirmed that our methodology outperforms traditional Data Envelopment Analysis models in precisely distinguishing between varying levels of hospital efficiency. In conclusion, this work provides a fresh perspective for future research and policy decisions in the healthcare domain, demonstrating how the use of advanced and machine learning algorithms can result in more accurate evaluations and targeted interventions.

Social Play In African Savannah Elephants May Inform Selection Against Aggression

Abstract In social groups, competition for individual advantage is balanced with cooperation, for the collective benefit. Selection against aggression has favoured cooperation and non-aggressive competitive strategies. Because social play is a behavioural system that fluctuates between cooperation and competition, selection against aggression might have especially influenced this behaviour. African savannah elephants (Loxodonta africana) are a low aggressive species, therefore suitable to investigate this aspect. We collected all occurrences observational audio-video data on social play, aggression/threats, and affiliation on an African elephant colony housed in a 25-ha open space at Parque de la Naturaleza de Cabarceno (Cantabria, Spain) and composed of four family groups (3 immature males, 3 immature females, and 7 adult females) and two adult males. Anticipating the influence of reduced aggression, we found that social play decreased with age, persisting in adults, and that it was highest in males. Social play was associated with affiliation (informing cooperation). Indeed, individuals that were central in the social play network were also central in the affiliation network. For immature subjects, we found a correlation between social play and affiliation sociomatrices. However, such correlation was absent in adults and social play mostly occurred between families. Despite the limitations related to dealing with a small captive group, this study largely supports the idea that the features of social play in African savannah elephants may be related to low aggression. This investigation hints toward a non purely cooperative use of play, possibly as a non-aggressive interaction that accommodates different levels of cooperation and competition.

Entrepreneurship Education Networking Practice and SMEs Venture Performance: Empirical Search for Truth

Innovation is the basis of all competitive advantages and the key to unlocking an organization’s ability to become highly competitive, win new customers, and remain relevant in today’s business world. This study explores the relationship between entrepreneurship education networking practice and SMEs venture performance, having empirically reviewed SMEs in Port Harcourt metropolis. Descriptive survey research design using closed and self-administered questionnaire was adopted. A total of 400 valid sets of data were collected from managers within 12 weeks through convenience sampling. Mean, aggregate mean and spearman rank correlation coefficient were used for data analysis with the aid of statistical package for social sciences version 25.0. The empirical results of the analysis show that experimental education relates to market share positively, and significantly so. The study, therefore, concludes that there exists a significant and positive relationship between entrepreneurship education networking practice and venture performance of small and medium scale enterprises. It recommends that there should be more awareness regarding network affiliations. Also the thrust and emphasis should be on modern technology to promote technologically driven practical entrepreneurial studies aimed at producing entrepreneurs with experiential knowledge-based competences.

Agonistic interactions and social behaviors in the Saharan Dorcas gazelle (Gazella dorcas neglecta): Using social network analysis to evaluate relationships and social structure in captive male groups.

Social interactions, including agonistic behavior, are very important for the management and welfare of individuals forming groups in captivity. One of the main concerns for the stability and durability of adult male groups is a noticeable level of intraspecific aggression. This study comprises a Social Network Analysis to illustrate social structure in different groups of captive Saharan Dorcas gazelles (Gazella dorcas neglecta). Our main objectives were to examine the relationship between agonistic, affiliative, and association networks and their reciprocity, assessing also whether the agonistic networks can conform to a linear dominance hierarchy. For these purposes, we recorded the behavior of 23 adult males organized in five herds, three composed only of Saharan Dorcas gazelle males and two mixed herds in which there were also Mhorr gazelle males (Nanger dama mohor). Observations were carried out during 295 h through scan sampling. We found no correlation between the affiliative and association networks in any group, although there was a significant correlation between the agonistic and association networks in mixed-species groups which was not present in single-species groups. Overall, there was no consistent reciprocity in either affiliative nor agonistic networks and none of the agonistic networks showed a linear structure. These results indicate that affiliative behavior in Saharan Dorcas gazelles offers distinctive and valuable information about the bonds between individuals, however, their dominance structure is far more complex than previously thought. As information provided by affiliative and proximity behaviors is different in this species, we suggest considering affiliative interactions to stablish affinity between individuals. Evaluating different social behaviors and not only agonistic interactions in later studies, is also recommended to develop a more accurately daily management in zoos that guarantee group stability and individuals' welfare, which will improve the conservation of captive populations.

Extending the social cohesion hypothesis: is group social structure associated with dispersal in yellow-bellied marmots (Marmota flaviventer)?

Abstract Dispersal is an important individual decision which may influence individual fitness as well as population viability. The social cohesion hypothesis posits more social individuals remain at home, which is supported by prior work across taxa. However, how the sociality and connectivity of the group an individual resides in—their group social structure—relates to dispersal decisions has not been explored. We extend the social cohesion hypothesis to predict individuals residing in more social groups would remain at home, and we quantified the affiliative and agonistic social network structure of female yellow-bellied marmots (Marmota flaviventer), a facultatively social ground-dwelling squirrel, where about half of all females disperse. Using mixed-effects models, we found no support for the hypothesis that affiliative group structure explained any variation in a marmot’s decision to disperse. We did find marmots in groups with less agonistic centralization (around one or few individuals) were less likely to disperse. The former finding may result from limited ability to perceive group structure whereas the latter may reflect individuals in less agonistically centralized groups are less likely to be reproductively suppressed. These results suggest individual dispersal decisions are more impacted by individual sociality and not that of their social group. Thus, the social cohesion hypothesis may not scale to the level of the group. Further work is required to determine whether dispersal decisions in obligately social species are influenced by group social structure.

The Scenarios of Educational Administration of Secondary Schools in Thailand During the Next Decade (A.D. 2022-2031)

This research is the scenarios of educational administration of secondary schools in Thailand during the next decade (A.D. 2022-2031) by using EDFR research techniques, The research objectives were 1) To study the current conditions and problems of educational administration of secondary schools in Thailand 2) To study the scenarios of educational administration of secondary school in Thailand during the next decade (A.D. 2022-2031). The research results can be summarized as follows: I) The current state and problems of educational administration of the secondary school in Thailand overall practice is at a high level when considering each aspect, there are practices at a high level in all 8 aspects: 1) Planning and quality assurance 2) Academic affairs 3) Student affairs 4) Human resources 5) Administrative work 6) Finance and supplies 7) Building and environment services and 8) Community work and affiliate networks. As for the educational administration problems in Thai secondary schools, the overall practice is at a low level, when considering each aspect, there is a low level of practice in all 8 aspects: 1) Planning and quality assurance 2) Academic affairs 3) student affairs, 4) Human resources, 5) Administrative work, 6) Finance and supplies, 7) Building and environment services, and 8) Community and affiliate networks. II) The scenarios of educational administration of the secondary school in Thailand during the next decade (A.D. 2022-2031) have 49 possible trends as follows: 1) Planning and Quality assurance 7 trends 2) Academic affairs 11 trends 3) Student affairs 8 trends 4) Human resources, 9 trends, 5) Administrative, 4 trends, 6) Finance and supplies, 5 trends, 7) Building and environment services, 3 trends, and 8) Community and affiliate network 2 trends.

Participation of Veterans Affairs Medical Centers in veteran-centric community-based service navigation networks: A mixed methods study.

To understand the determinants and benefits of cross-sector partnerships between Veterans Affairs Medical Centers (VAMCs) and geographically affiliated AmericaServes Network coordination centers that address Veteran health-related social needs. Semi-structured interviews were conducted with AmericaServes and VAMC staff across seven regional networks. We matched administrative data to calculate the percentage of AmericaServes referrals that were successfully resolved (i.e., requested support was provided) in each network overall and stratified by whether clients were also VAMC patients. Convergent parallel mixed-methods study guided by Himmelman's Developmental Continuum of Change Strategies (DCCS) for interorganizational collaboration. Fourteen AmericaServes staff and 17 VAMC staff across seven networks were recruited using snowball sampling and interviewed between October 2021 and April 2022. Rapid qualitative analysis methods were used to characterize the extent and determinants of VAMC participation in networks. On the DCCS continuum of participation, three networks were classified as networking, two as coordinating, one as cooperating, and one as collaborating. Barriers to moving from networking to collaborating included bureaucratic resistance to change, VAMC leadership buy-in, and not having VAMCs staff use the shared technology platform. Facilitators included ongoing communication, a shared mission of serving Veterans, and having designated points-of-contact between organizations. The percentage of referrals that were successfully resolved was lowest in networks engaged in networking (65.3%) and highest in cooperating (85.6%) and collaborating (83.1%) networks. For coordinating, cooperating, and collaborating networks, successfully resolved referrals were more likely among Veterans who were also VAMC patients than among Veterans served only by AmericaServes. VAMCs participate in AmericaServes Networks at varying levels. When partnerships are more advanced, successful resolution of referrals is more likely, especially among Veterans who are dually served by both organizations. Although challenges to establishing partnerships exist, this study highlights effective strategies to overcome them.

ABAC Policy Mining through Affiliation Networks and Biclique Analysis

Policy mining is an automated procedure for generating access rules by means of mining patterns from single permissions, which are typically registered in access logs. Attribute-based access control (ABAC) is a model which allows security administrators to create a set of rules, known as the access control policy, to restrict access in information systems by means of logical expressions defined through the attribute–values of three types of entities: users, resources, and environmental conditions. The application of policy mining in large-scale systems oriented towards ABAC is a must because it is not workable to create rules by hand when the system requires the management of thousands of users and resources. In the literature on ABAC policy mining, current solutions follow a frequency-based strategy to extract rules; the problem with that approach is that selecting a high-frequency support leaves many resources without rules (especially those with few requesters), and a low support leads to the rule explosion of unreliable rules. Another challenge is the difficulty of collecting a set of test examples for correctness evaluation, since the classes of user–resource pairs available in logs are imbalanced. Moreover, alternative evaluation criteria for correctness, such as peculiarity and diversity, have not been explored for ABAC policy mining. To address these challenges, we propose the modeling of access logs as affiliation networks for applying network and biclique analysis techniques (1) to extract ABAC rules supported by graph patterns without a frequency threshold, (2) to generate synthetic examples for correctness evaluation, and (3) to create alternative evaluation measures to correctness. We discovered that the rules extracted through our strategy can cover more resources than the frequency-based strategy and perform this without rule explosion; moreover, our synthetics are useful for increasing the certainty level of correctness results. Finally, our alternative measures offer a wider evaluation profile for policy mining.

The Role of Social Capital on the Resilient Capacity of Cooperatives

This paper is an exploratory study that aims to identify, describe and compare the level of social capital on two types of cooperatives that have existed for a long time. The factors are determined by examining the structure of the organization and the member's social capital. Furthermore, 120 respondents were interviewed using the survey questionnaire to determine the members' socio-demographic characteristics and ascertain the members' level of social capital. A concurrent mixed method was used in the gathering and analysis of data. This study found that the member-respondents of the cooperatives have shown a high level of social capital in three dimensions: trust, norms and reciprocity; networks and collective actions; and Information and empowerment. However, the result on the T-test shows a significant difference between cooperatives in two dimensions, namely; 1) trust, norms and reciprocity and 2) networks and collective actions. An examination of the profile of the organizations and their members revealed that the member's ethnicity, religiosity, close family ties and neighbourliness may have contributed to a significant difference in these dimensions.Furthermore, the factors mentioned were found to impact how the cooperatives respond, cope and mitigate threats, crises and disasters. Furthermore, between cooperatives a better social capital is associated with better resiliency. This study recommends a more robust network affiliation with cooperatives in Bukidnon and other cooperatives in the locale. It also recommends that the cooperatives to conduct routine risk assessments and create innovative ways to sustain the members' social capital.

Entre conselhos e conferências: as arenas deliberativas sobre direitos humanos em Minas Gerais

ABSTRACT Introduction: The academic literature on deliberative systems suggests exploring the connections between deliberative forums and other components of the political system and society. This article investigates the participation of governmental actors and civil society in councils and conferences addressing public policies on human rights in the state of Minas Gerais, Brazil. The objectives are twofold: to propose a theoretical framework for examining deliberative subsystems and to identify the connectors in a multilevel network consisting of human rights councils and conferences. Materials and methods: We adopted a methodology centered on subsystem theory, prioritizing the dynamics of deliberation arenas and the synergy between councils at local and state levels. We reinterpreted the concept of subsystem to develop an empirical model that incorporates its thematic dimension. To examine the interconnections between councils and conferences, we employed an analytical approach known as two mode network analysis, also referred to as affiliation network analysis, situated in the domain of Social Network Analysis. Results: Our findings suggest a high level of integration within the subsystem. In contrast to prior studies, we found that civil society actors, alongside governmental agents, significantly contribute to interconnecting various arenas within the subsystem. This finding underlines the functional specialization of liaison agents within the context of the deliberation system. Discussion: Our findings offer a twofold contribution to the existing literature. Firstly, we present an innovative theoretical model for analyzing deliberative systems. Secondly, we recommend the use of multilevel network analysis as a robust tool for identifying connections between multiple arenas.

Role of Social Capital on the Resilient Capacity of Cooperatives

This paper is an exploratory study that aims to identify, describe, and compare the level of social capital on two types of cooperatives that have existed for a long time. The factors are determined by examining the structure of the organization and the member’s social capital. There were 120 respondents who were interviewed using the survey questionnaire to determine the members’ socio-demographic characteristics and ascertain the members’ level of social capital. A concurrent mixed method was used in the gathering and analysis of data. This study found that the member-respondents of the cooperatives have shown a high level of social capital in three dimensions: trust, norms, and reciprocity; networks and collective actions; and information and empowerment. However, the result of the T-test shows a significant difference between cooperatives in two dimensions: 1) trust, norms, and reciprocity, and 2) networks and collective actions. An examination of the profile of the organizations and their membersrevealed that the member’s ethnicity, religiosity, close family ties, and neighborliness may have contributed to a significant difference in these dimensions. Furthermore, the factors mentioned were found to impact how the cooperatives respond to, cope with, and mitigate threats, crises, and disasters. Furthermore, between cooperatives, better social capital is associated with better resiliency. This study recommends a more robust network affiliation with cooperatives in Bukidnon, Philippines and other cooperatives in the locale. It also recommends that the cooperatives may conduct routine risk assessments and create innovative ways to sustain the members’ social capital.

Analisis Kebijakan Restorasi Ekosistem Gambut di Indonesia dengan Discourse Network Analysis

After the forest fires in 2014-2016, the Government of Indonesia (GoI) placed the restoration of the peatland ecosystem (RPE) as one of its priority policies in the environmental sector. This study seeks to analyze RPE in Indonesia using a discourse network analysis approach. Researchers utilize Twitter as primary research data. This data was processed with R, rDNA, and Gephi. Researchers found three network patterns that are connected to RPE efforts in Indonesia. First, affiliate networks connect actors and the concepts voiced by the actors. This network involves various actors such as government institutions, civil society organizations, private corporations, universities, research institutes, foreign governments, international organizations, and local citizens. The dominant concept in the affiliate network is peatland restoration and multi-stakeholder collaboration. Second, the actor congruence network assigns Mangrove and Peatland Restoration Agency (Badan Restorasi Gambut dan Mangrove or BRGM) as the dominant and central actors. However, some actors are not connected to the core network and create separate sub-groups. Third, a network of conflicts between actors involving four conflict themes: Government Regulation Number 57/2016 concerning Amendments to Government Regulation Number 71/2014 on Protection and Management of Peatland Ecosystems, peatland conversion, horizontal conflicts between the local community and plantation corporations, and prevention and law enforcement related to forest fires. The researcher recommends BRGM to: (a) strengthen collaborative practices with the various parties involved in RPE; (b) beware in converting peatland so it does not damage the peatland ecosystem landscape; (c) integrate community conflicts with plantation corporations as part of the RPE agenda in Indonesia. The researcher also recommends NGO activists in Indonesia who care about peatlands to continue monitoring and criticizing the RPE process in Indonesia, and fight for local community groups that have been marginalized by the RPE process. Researchers also encourage plantation corporations, both oil palm plantations and industrial timber plantations, to jointly guard RPE in Indonesia by not opening up new land as part of the actual contribution of the Indonesian people to climate change adaptation and mitigation.

Federally Qualified Health Centers, Health Center Controlled Network affiliation and performance

Federally Qualified Health Centers, Health Center Controlled Network affiliation and performance