Actor Networks Research Articles

Driving in Cars with Noise

Driving in Cars with Noise

Quantifying intragroup and intergroup connections in non-disjoint groups in social networks: A comprehensive analysis incorporating edges' and nodes' weights

In this paper, we propose generalizations of the EI index to quantify the distinction between intragroup and intergroup connections in social networks. These generalizations enable the analysis of interactions between non-disjoint groups, as large-scale disjoint groups are rarely found in many empirical networks. By expanding social network analysis, these measures facilitate the identification of actors with greater similarities or differences, generating previously untapped knowledge. Furthermore, we propose incorporating both edges' and nodes' weights in assessing the EI index. Intuitively, our approach classifies each network edge as internal or external, depending on the attribute groups that each node linked by the given edge belongs to. Since nodes can belong to more than one attribute group, three methods of classifying a network edge are proposed which depend on the number of shared groups by the pair of nodes. We evaluate the new measures in two distinct network contexts. The first context involves a co-authorship network, where researchers, acting as network actors, are categorized based on their respective areas of expertise in management engineering. The second network consists of trade relations among countries in the Americas, with countries grouped according to their participation in trade agreements. The analysis showed which area of management engineering is more independent by having more internal connections and made it possible to investigate the role of trade agreements in the actual trades made by countries. These proposals provide a more comprehensive and nuanced understanding of network dynamics, allowing for a more precise comprehension of interactions and patterns present in social systems.

Access and triage in contemporary general practice: A novel theory of digital candidacy

To access contemporary healthcare, patients must find and navigate a complex socio-technical network of human and digital actors linked in multi-modal pathways. Asynchronous, digitally-mediated triage decisions have largely replaced synchronous conversations between humans. In this paper, we draw on a large qualitative dataset from a multi-site study of remote and digital technologies in general practice to understand widening inequities of access.We theorise our data by bringing together traditional candidacy theory (in particular, concepts of self-assessment, help-seeking, adjudication and negotiation) and socio-technical and technology structuration theories (in particular, concepts of user configuration, articulation, distanciation, disembedding, and recursivity), thus producing a novel theory of digital candidacy.We propose that both human and technological actors (in different ways) embody social structures which affect how they ‘act’ in social situations. Digital technologies contain inbuilt assumptions about users' capabilities, needs, rights, and skills. Patients' ability to self-assess as sick, access digital platforms, self-advocate, and navigate multiple stages in the pathway, including adapting to and compensating for limitations in the technology, vary widely and are markedly patterned by disadvantage. Not every patient can craft an accurate digital facsimile on which the subsequent adjudication decision will be made; those who create incomplete, flawed or unpersuasive digital facsimiles may be deprioritised or misdirected. Staff who know about such patients may use articulation measures to ensure a personalised and appropriate access package, but they cannot identify or fully mitigate all such cases. The decisions and actions of human and technological agents at the time of an attempt to access care can significantly influence, disrupt, and reconstitute candidacy both immediately and recursively over time, and also recursively shape the system itself.These findings underscore the need for services to be (co-)designed with attention to the exclusionary tendencies of digital technologies and technology-supported processes and pathways.

Overview of the ten global conferences on health promotion and implications for future work

Since 1986, the WHO has held ten global health promotion conferences covering various health promotion issues and sustainable development worldwide. These sessions have formed a series of consensus and actions that guide promoting health globally. This study analyzed the declarations, reports, and news materials from the ten conferences that studied health promotion action areas, focal topics, actor networks, partnership relationships, and other significant outcomes. It also explored how these conferences contributed to the construction and advancement of global health promotion consensus and actions. The first Global Conference on Health Promotion identified the concept of health promotion and five key action areas, laying the foundation for subsequent conferences and health promotion actions. Over the years, the ten conferences continuously expanded the essence of health promotion, developed partnership relationships, formulated public health promotion policies, and called for health promotion actions. This process culminated in the formation of global consensus and collective actions. The latter conferences have gained significant attention and influence. The conferences offer valuable insights for future global health promotion endeavors and provide global perspectives and pathways for the development of Healthy China.

A Study of Huawei’s 5G Technology Innovation Ecosystem Based on Actor-Network Theory

The 5G technology enables a more comprehensive satisfaction of individuals' varied requirements by capitalizing on its improved information transmission efficiency and stronger signals. Investigating the innovative development of 5G technology contributes to enhancing network security and stability, thereby furthering enterprise digital transformation. This paper analyzes all 55 texts from the “News” section of Huawei’s official website’s 5G topic, which contain descriptions of Huawei's 5G innovation ecosystem. Building upon the actor-network theory, the study employs text coding to discern and classify actors and other elements that participate in the enterprise innovation ecosystem, and describes the collaborative network construction process with Huawei as the central actor. The study finds that heterogeneity in actor network theory plays an important role in the study of corporate innovation ecosystems. The four links of "Problematisation", "Interesssement", "Enrollment" and "Mobilization" clearly describe the process of constructing a network of actors in STI activities. The actor network of Huawei's 5G technology innovation ecosystem is characterised by continuous openness and stable operation. Facilitating the digital transformation of the industry is the main reason for other actors to join Huawei's 5G technology innovation ecosystem actor network.

Careers as Social-Symbolic Work: Civilian Criminal Investigators’ Struggle for Legitimacy

The nexus between work and social categories is known to have an impact on how people develop in their careers. The purpose of this study was to examine the conditions for career work undertaken by civilian criminal investigators (CIs) who are currently entering police organizations, complementing police officers in criminal investigations. The empirical study encompassed 71 interviews conducted with both civilian and police CIs in the Swedish police. The conditions for career work were analyzed through a social-symbolic lens, recognizing the impact of both resource distribution and agency in a network of different actors. Furthermore, the contextual nature of career work was examined, highlighting tensions between civilian and police CIs, influenced by gender dynamics and cultural factors. The situatedness and cultural characteristics of the workplace, involving gender and academic and professional background, have divergent outcomes in career work. This research discusses the multifaceted nature of career development among civilian CIs, providing an extended understanding of career as a socially negotiated process and unraveling the mutual influence of organizational dynamics, cultural norms, and resource distribution in shaping individual career trajectories.

Supporting the applicability and transferability of the “Sortir Ensemble & Se Respecter” program in France

The prevention of intimate partner violence (IPV) among young people is a major challenge for public policies. Nevertheless, there are a few prevention programs that have proven effective in France. “Sortir Ensemble & Se Respecter” (SE&SR) is a Swiss adaptation of “Safe Dates,” an American intervention program that has reduced violent behavior by young perpetrators and victims of IPV alike. The aim of this article is to analyze the applicability and “potential transferability” of SE&SR in France. We described the SE&SR intervention by explaining the intervention theory, the key functions (i.e., the “ingredients” allowing the SE&SR program to work), and we commented on its applicability from a perspective of adapting and transferring it to the French context. We used the ASTAIRE tool and the FIC (key functions, implementation, context) approach. The intervention theory highlighted various factors, acting at the individual level (i.e., beliefs/representations, knowledge, life skills) and at the level of the living environment (i.e., facilities welcoming young people; families; public policies; networks of actors), that can prevent IPV among young people. Ten key functions have been identified, revealing the “skeleton” of the Swiss intervention. We drew on these results to comment on the intervention’s applicability, with a view to transferability, specifying the contextual elements to consider before implementing SE&SR in France. This study aims to make the process of evaluating applicability, with a view to transferring an evidence-based program to the French context, more accessible.

Yet another turn? priotising the needs of diplomacy over the capabilities of generative AI

AbstractIn this forum piece, we argue that the widespread heraldry regarding artificial intelligence (AI) as a panacea in diplomacy and articulating research agendas on the changes it might bring are potentially clouding the future hardships of diplomacy. With all its subfields, International Relations (IR) has gone through numerous “turns”, especially during the last two decades which made encounters poised to change the nature of foreign policy—such as new actors, ideas, or technologies—a familiar experience. While these discussions enriched the discipline of IR, hardly any of these turns lived up to their promises. Certainly, we have an increasingly challenging and complex multipolar world ahead of us. This manifests that a broader network of actors, interests, and technologies needs to be considered. AI, indeed, has the potential capacity to assist and disrupt the ways diplomacy works. Yet heralding an anticipatory practice and study of diplomacy based on AI’s socio-technical imaginaries and calculations rather than as a participatory process centered on immediate human interaction, resources, intelligence, and rapport bears the potential of obscuring the analytical clarity needed. In short, we argue that the rise of AI should not be discussed as yet another new turn poised to cure diplomacy and international relations. We conclude our piece by reminding scholars to bring analytical focus on what lies at the heart of diplomacy.

Platforms and Palimpsests

Data platforms increasingly mediate the relationship of society to the data it produces and therefore form a critical layer of the contemporary link between data and urbanisation. However, the current discussion of the impact of data platforms on urbanisation is limited on one hand by an overly metaphoric articulation of platforms, which obscures the material geographies and infrastructural landscapes of data production; and on the other hand, by an administratively bounded reading of platforms, which confines the discussion to only their most visible impact in cities. In this article I argue that to fully capture the impact of platforms on urbanisation we need to overcome these limitations by examining the ‘operational landscapes’ of data production and circulation. This extended ontology of platforms positions the spatial discourse of technology in relationship with other forms of capitalist spatial production and opens up the material geographies and infrastructural landscapes of data production for critical engagement as integral parts of the sociotechnical construction of platforms. By examining the data landscapes of Northern Virginia, I illustrate how historic and contemporary forces, actor networks, and urban dynamics contribute to the construction and maintenance of the extended geography of data platforms.

Young networked athletes and performance-enhancing substances: who are the actors in their network, and how do the actors shape athletes’ meaning-making?

Ambitious youth athletes continually strive to enhance their performance, and as they age, more people are involved in this process. Athletes are immersed in a network of actors who wield significant influence over their performance-enhancing endeavours, encompassing training, nutrition, and at times, the use of various performance-enhancing substances. Our study predominantly revolves around various permitted substances, primarily in the form of nutritional supplements of various kinds. Also relevant in this regard is anti-doping, as knowledge of and a critical attitude towards supplements are a central part in this preventative educational work. More specifically, in this study, we explore the actors that contribute to young athletes meaning-making of nutritional supplements and anti-doping and examine how the young athletes describe these actors’ contribution. Twenty-four athletes from private elite upper secondary sport schools (PEUSS) in Norway were interviewed, with a semi-structured approach to facilitate the various tales. Our analysis revealed seven actors/actor groups in athletes’ network. The actors/actor groups were diverse and contributed to athletes meaning-making in different ways. We argue that the diversity of actors illustrates the relevance of the networked athlete concept and that the concept should be further developed by interactionist perspectives.

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.

Mapping Salience and Trajectory: On How to Situate Literary Translators in Publishing Legends of the Condor Heroes With Visualization

As a publishing success, Legends of the Condor Heroes ( Legends) dispelled the belief that Jin Yong’s works are untranslatable, necessitating fresh scholarly attention. With a mixed-methods approach, this article investigates literary translators’ positioning in publishing network based on empirical data from paratexts, online sources and existing research of Legends through Actor-Network Theory (ANT)-inspired ethnography. It represents these data with visualized networks using Gephi, and conducts social network analysis (SNA) and qualitative analysis with various graphic metrics. It is illustrated that the three translators Anna Holmwood, Gigi Chang and Shelly Bryant and the publisher MacLehose Press serve as the focal actors with considerable connections with other actors in the publishing network. With further exploration of the connections, we find it is the multiple identities of these translators and the publishing strategy of the publisher that help shape their relative high centrality and visibility, which may also be one of the reasons for the success of Legends. This article hopes to complement the mainstream study on translator’s positioning and facilitate the conjunction of Translation Studies and publishing research, with rarely used but helpful techniques from graph theory and social network analysis.

Actor Prioritized Experience Replay (Abstract Reprint)

A widely-studied deep reinforcement learning (RL) technique known as Prioritized Experience Replay (PER) allows agents to learn from transitions sampled with non-uniform probability proportional to their temporal-difference (TD) error. Although it has been shown that PER is one of the most crucial components for the overall performance of deep RL methods in discrete action domains, many empirical studies indicate that it considerably underperforms off-policy actor-critic algorithms. We theoretically show that actor networks cannot be effectively trained with transitions that have large TD errors. As a result, the approximate policy gradient computed under the Q-network diverges from the actual gradient computed under the optimal Q-function. Motivated by this, we introduce a novel experience replay sampling framework for actor-critic methods, which also regards issues with stability and recent findings behind the poor empirical performance of PER. The introduced algorithm suggests a new branch of improvements to PER and schedules effective and efficient training for both actor and critic networks. An extensive set of experiments verifies our theoretical findings, showing that our method outperforms competing approaches and achieves state-of-the-art results over the standard off-policy actor-critic algorithms.

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

The integration of Evolutionary Algorithm (EA) and Reinforcement Learning (RL) has emerged as a promising approach for tackling some challenges in RL, such as sparse rewards, lack of exploration, and brittle convergence properties. However, existing methods often employ actor networks as individuals of EA, which may constrain their exploratory capabilities, as the entire actor population will stop evolution when the critic network in RL falls into local optimal. To alleviate this issue, this paper introduces a Two-stage Evolutionary Reinforcement Learning (TERL) framework that maintains a population containing both actor and critic networks. TERL divides the learning process into two stages. In the initial stage, individuals independently learn actor-critic networks, which are optimized alternatively by RL and Particle Swarm Optimization (PSO). This dual optimization fosters greater exploration, curbing susceptibility to local optima. Shared information from a common replay buffer and PSO algorithm substantially mitigates the computational load of training multiple agents. In the subsequent stage, TERL shifts to a refined exploitation phase. Here, only the best individual undergoes further refinement, while the rest individuals continue PSO-based optimization. This allocates more computational resources to the best individual for yielding superior performance. Empirical assessments, conducted across a range of continuous control problems, validate the efficacy of the proposed TERL paradigm.

Beyond borders: Trans-organisational and transnational alliances among gig workers in the United Kingdom and Italy

This article examines the activities of the Independent Workers’ Union of Great Britain (IWGB) and Deliverance Milano (DM), the main collective actors that are currently organising food delivery platform workers in London and Milan, respectively. Both IWGB and DM seek to encourage and support alliances across organisational boundaries as well as across national borders, albeit in different ways. Drawing on a combination of participant observation, in-depth semi-structured interviews and documentary analysis, the findings of these case studies suggest that IWGB and DM are successfully developing trans-organisational and transnational alliances and ties. The article contributes to the growing literature on the renewal of workers’ representation, focusing on the relationship between trade unions and other collective actors at local as well as national and international levels. In particular, we propose a distinction between purpose-oriented and value-oriented alliances, both present in the networks of collective actors engaged in organising platform workers.

Tightly Bound, Loosely Interpreted: Meta-Governance and Local Institutional Adaptation in the Implementation of the Smart Cities Mission India

This paper explores the implementation of the Indian Government’s Smart Cities Mission in four cities. The Mission was to be delivered through a tightly specified governance form, known as a Special Purpose Vehicle (SPV), although its function (smart urban renewal) was left more open. The national reform was, however, silent on how the SPV would work within the pre-existing network of actors. Using interviews and documentary analysis, the paper shows how the embedding of SPVs within pre-existing governance networks was strongly shaped by state-level decisions and local institutional dynamics. These insights open up new avenues for research into multi-level meta-governance.

Actor-Networks in Political Moral Conflict: A Case Study of an Online Gun Control Debate

This research case study employs a theoretical and methodological framework of moral conflict theory informed by actor-network theory to better understand the sociomaterial entanglements—networks of human and non-human actors—that constitute political moral conflict. We analyze a case of moral conflict surrounding the issue of gun control, found within an online debate forum that was initiated by the question: should guns be banned in America? Through this case analysis, we identify key convergences and divergences in communication that facilitate coordination and cause incommensurability in conflict. These results reveal a new possibility for transcending political polarization through dialogue that attempts to account for the moral demands of objects.

Classifying protein kinase conformations with machine learning.

Protein kinases are key actors of signaling networks and important drug targets. They cycle between active and inactive conformations, distinguished by a few elements within the catalytic domain. One is the activation loop, whose conserved DFG motif can occupy DFG-in, DFG-out, and some rarer conformations. Annotation and classification of the structural kinome are important, as different conformations can be targeted by different inhibitors and activators. Valuable resources exist; however, large-scale applications will benefit from increased automation and interpretability of structural annotation. Interpretable machine learning models are described for this purpose, based on ensembles of decision trees. To train them, a set of catalytic domain sequences and structures was collected, somewhat larger and more diverse than existing resources. The structures were clustered based on the DFG conformation and manually annotated. They were then used as training input. Two main models were constructed, which distinguished active/inactive and in/out/other DFG conformations. They considered initially 1692 structural variables, spanning the whole catalytic domain, then identified ("learned") a small subset that sufficed for accurate classification. The first model correctly labeled all but 3 of 3289 structures as active or inactive, while the second assigned the correct DFG label to all but 17 of 8826 structures. The most potent classifying variables were all related to well-known structural elements in or near the activation loop and their ranking gives insights into the conformational preferences. The models were used to automatically annotate 3850 kinase structures predicted recently with the Alphafold2 tool, showing that Alphafold2 reproduced the active/inactive but not the DFG-in proportions seen in the Protein Data Bank. We expect the models will be useful for understanding and engineering kinases.

RESPON PUBLIK TERHADAP FATWA BOIKOT PRODUK ISRAEL OLEH MAJELIS ULAMA INDONESIA

Israel's aggression against Gaza since October 2023 has sparked global support for Palestine. One of the supports was shown by the Indonesian Ulema Council by issuing fatwa number 83 of 2023. One of the points of the fatwa is to avoid transactions and not use products affiliated with Israel. This fatwa is identified with the boycott of Israeli products. This paper attempts to analyze the public response to the MUI fatwa. The method used in this research is Discourse Network Analysis (DNA). This research uses DNA Analyzer and Visone software to display actor and discourse networks and statistical calculations of actors and discourses responding to Fatwa number 83 of 2023. The research measured public response for one month since the fatwa was issued on November 8, 2023. The findings in this study are that the public is divided into 2 clusters in responding to the fatwa. The first cluster expressed support, and the second cluster expressed disapproval of the fatwa. However, the analysis and statistical calculations found that actors and discourses that support the MUI fatwa are more dominant. From the results of analysis and statistical calculations, it was found that actors and discourses that support the MUI fatwa are more dominant.

Harvesting connections: the role of stakeholders’ network structure, dynamics and actors’ influence in shaping farmers’ markets

AbstractFarmers’ markets (FMs) represent a crucial player in urban food systems, being the interconnection of local agricultural production and consumption, and serving as spaces for both economic exchange and community building. Despite their transformative potential, there is a scarcity of research that comprehensively investigates the dynamics of FMs network structure and the influence of the actors shaping FMs. The present article delves into the network of relationships within FMs in the Italian city of Bologna. This study adopts the Social Network Analysis (SNA) methodology applied with the Net-Map tool. The research objectives are to visualise the underlying network structure, map the dynamics, and identify the key actors who play pivotal roles in Bologna’s FMs and their level of influence. The research carried out interviews with ten FMs stakeholders, revealing the network of relationships between 54 actors, divided into three categories—civil society, food economy and public administration. Actors were linked by a total of 428 relationships across three types of networks: support, economic, and hindering. Findings indicate a strong support network structure characterised by varying degrees of centrality among different actors. Farmers emerge as a central node due to their pivotal role in providing fresh, local produce. Additionally, local institutions contribute significantly to FMs resilience and growth. Our research demonstrates the importance of recognising the embeddedness of FMs within the local context. By understanding the network structure and influential actors in FMs, policymakers can devise more effective policies for promoting local agriculture, and enhancing the sustainability of urban–rural exchanges. In conclusion, the present study offers valuable insights into the network dynamics of FMs, highlighting their crucial role in the sustainable development of urban and local food systems.