Community Boundaries Research Articles

Community detection and anomaly prediction in dynamic networks

Anomaly detection is an essential task in the analysis of dynamic networks, offering early warnings of abnormal behavior. We present a principled approach to detect anomalies in dynamic networks that integrates community structure as a foundational model for regular behavior. Our model identifies anomalies as irregular edges while capturing structural changes. Our approach leverages a Markovian framework for temporal transitions and latent variables for community and anomaly detection, inferring hidden parameters to detect unusual interactions. Evaluations on synthetic and real-world datasets show strong anomaly detection across various scenarios. In a case study on professional football player transfers, we detect patterns influenced by club wealth and country, as well as unexpected transactions both within and across community boundaries. This work provides a framework for adaptable anomaly detection, highlighting the value of integrating domain knowledge with data-driven techniques for improved interpretability and robustness in complex networks.

Distant-Reading Communities: Monolingualisation in Fin-de-Siècle European Literary Historiography

Abstract A return to earlier forms of distant reading multilingual corpora allows us to reflect on the monolingual authorial position that manages and mediates the language diversity and linguistic specificity (literariness) of multilingual corpora with the objective of fostering supranational (imagined) communities of readers (Anderson, 1983). Revisiting the distant-reading practices of fin-de-siècle Britain can help us identify historiographical focal points and priorities, provide an understanding of the scope and circumference of the corpus, and reveal the conceptions of gain and loss perceived as integral to distant reading. The tension between enrichment and dispossession inherent in the practice of literary historiography is acute when it comes to multilingual corpora, compiled to facilitate a crossing and re-weaving of the boundaries of language, understanding, and community. In the 12-volume series Periods of European Literature, edited and, in part, written by the journalist, literary historian, and Chair of Rhetoric and English Literature at Edinburgh University, George Saintsbury (1845–1933), Anglophone comparatists represent the multilingual corpora of exemplar works, gauging the necessity for, or dispensability of, translation, and managing the “great unread”, which, in this case, equates the “great unreadable”. In their desire to build imagined communities of readers of European literature, Saintsbury and his contributors tend to operate in a monolingual supralinguistic sphere in which languages, authors, and works are named, passages are occasionally quoted, but in which no reading of literature, neither on the side of the comparatist, nor of the reader, takes place. Literary language is thus only tangentially part of literary historiography.

The Power of Hidden Teams: Leveraging Informal Relationships to Drive Organizational Success

This article explores the importance of informal networks, or "hidden teams", that exist within organizations alongside formal hierarchical structures, as research has shown these organic relationship-based networks play a key role in knowledge sharing, innovation, and driving work forward through efficient exchange of ideas and solutions across boundaries in communities of practice and "invisible colleges", while teams that bridge different professional communities are better able to solve complex problems. The article provides recommendations for how leaders can identify, support, and leverage hidden teams to drive business success by mapping networks through analysis and employee surveys to uncover natural collaborations, supporting hidden teams through dedicating time and space for collaboration, cross-pollinating memberships, institutionalizing information flows, and recognizing contributions, as demonstrated through two case studies where a technology company and healthcare system identified existing hidden teams, formalized roles and support, and achieved rapid, grassroots change and meaningful business impacts, suggesting that viewing informal networks as assets that break down silos and strengthen connections across groups can empower change and improve organizational performance.

Beyond Order and Progress: Legitimacy and Nation-Building in Military Brazil

Abstract Between 1964 and 1985, a military dictatorship in Brazil combined an arsenal of political instruments—surveillance, violent repression, and propaganda, among others—to justify its illegal rule. How did the Brazilian military regime attempt to justify its claim to power for more than two decades? What discursive strategies did it use to win popular support, despite the violence it perpetrated? This paper investigates how discourse is used to legitimize power and create meaning in authoritarian regimes. Using ethnographic content analysis of archival materials, I pinpoint and analyze three key discursive frames employed in regime propaganda: “defenders of democracy,” “Great Brazil” and “model citizenship.” I argue that the Brazilian military regime used these frames to justify its authority, forge national values and social norms, and redefine the boundaries of the national community. These findings not only contribute to our understanding of authoritarian power that is wielded and legitimized through discourse, but also speak to the enduring consequences of authoritarianism in sociopolitical subjects.

Research on the Delineation Method of Urban Community Living Circle Based on Transportation Network Analysis in Yuanping, China

In the context of accelerating global urbanization and the demands for high-quality and sustainable development, the exploration of an urban community living area delineation method based on traffic network analysis offers a fresh perspective for defining urban living areas. This paper employs a traffic network analysis method rooted in objective analysis. It leverages open-source big data on Points of Interest (POI) from public facilities and road network data obtained from relevant urban planning to construct a comprehensive road network dataset for the central urban area. Following the construction of the road network dataset, the paper conducts a service area and accessibility analysis of public facilities, which serves as an initial step in outlining the boundaries of the urban community living area. Subsequently, the delineation is further refined by considering factors such as development boundaries, as well as natural and man-made constraints such as rivers, railways, and major roads. The boundaries of the urban community living area undergo further adjustments, taking into account the scope of the development boundary and various constraining elements such as rivers, railways, and main roads. A final revision is made by considering subjective factors, where the boundaries of the ten-minute urban community living area are ultimately determined through extensive communication and coordination with various stakeholders. This approach is aimed at meeting the current societal development needs, which include breaking down segregation, fostering social interactions, strengthening neighbourly relationships, enhancing overall quality of life, promoting sustainable development, and creating a more humane and sustainable city. Its ultimate goal is to enable residents to feel a sense of belonging and happiness within the bustling urban environment.

The ‘Predelinquent’ and the Community: Psychiatric Surveillance and Predictive Policing in Interwar Berkeley

Summary Through the 1920s and 1930s, the Berkeley Police Department, renowned as a centre of scientific training and investigation, developed new programmes of predictive policing targeting ‘predelinquent’ youth. Led by Chief August Vollmer, schools, charities, social services and families throughout Berkeley were coordinated in the ongoing detection of early signs of developing psychoses and personality disorders believed to lead to future criminality. Implying a malleable trajectory of habit formation which might be perverted or corrected, predelinquency warranted psychiatric surveillance across the community to assist Berkeley’s police in identifying, mapping and correcting at-risk children. This paper examines how, through the psychiatric category of predelinquency, law enforcement enrolled the community in networks of pre-emptive surveillance with new responsibilities for reporting and correction. In turn, I examine how predelinquency shifted to accommodate various local priorities and anxieties, whereby predictive policing’s conceptions of potential threat or improvability reproduced the boundaries of the normative American community.

COVID-19 and the biopolitics of stigma in public housing: dividing practices and community boundaries in pandemic times

ABSTRACT The COVID-19 ‘hard lockdowns’ in Melbourne, Australia in 2020 targeted public housing estates thus trading on perceptions of risk associated with public housing as some of the most stigmatised sites in post-industrial cities. This article draws on interviews with Melbourne public housing tenants on their experience of COVID-19 lockdowns to analyse the place of stigma in residents’ accounts. Pairing Wacquant et al's (2014) concept of 'territorial stigma' with sociological work on the biopolitics of stigma we consider the dynamics of stigma, tracing how it functions to delimit community boundaries and justify pandemic containment measures. Residents navigate multiple layers of stigma, including stereotypes of public housing, normative judgements of neighbouring residents, and a broader public housing system riven with structural issues. Members of these communities are both the targets of stigma and seek to distance themselves from those seen as vectors of stigma. Our participants report mobilising social distancing strategies couched in normative assessments of perceived risk based on physical appearance, presumed drug use and past conduct. We explore the implications of these enactments of territorial stigma and trace the logics of abjection that construct public housing as deprived urban zones, home to abject ‘Others’ perceived as threatening the health of the community.

Disappearing Diaspora: Deterioration and Restoration of Marrakech’s Lazama Synagogue

This paper examines circumstances where religious practices challenge the survival of tiny diasporic communities. The persistence of such diasporic communities might be undermined by the need to fulfill religious practices that are insurmountable due to their small size. Using microscopic anthropological lenses, the paper focuses on a specific synagogue in Marrakech that innovatively mutates in its functioning to persevere and overcome the hurdles posed by religious practices. Practically, the synagogue let into its space non-Jews, by offering them varied services. Although that act of crossing community boundaries seems to undermine the local singular character of the community, the fact that it invokes shared cultural intimacy with Muslims attenuates these threats.

Who and what belongs to us? Towards a comprehensive concept of inclusion and planetary citizenship

In this theoretical article, we ask who and what belongs to us. We aim to conceptualise planetary citizenship and identify the scale for experiences of planetary inclusion. As a basis for the planetary approach, we utilise systems thinking and eudaimonic well-being that transcends hedonism and materialism and that focuses on meaningful and purposeful living, personal growth, engagement and positive relationships. Expanding the concept of human participation is necessary as the contemporary lifeworld has gradually stretched beyond the traditional boundaries of local communities and nation-state societies. Furthermore, the lifestyle of people living in high-income industrial countries has also been noted to have serious consequences in wider circles of life. Thus, human–biosphere relationships must be renegotiated to strengthen responsible citizenship and facilitate caring for life on Earth. To promote this ideal, we widen the already validated scale for experiences of social inclusion towards a scale for experiences of planetary inclusion. We introduce the concept of planetary citizenship, which enhances the concept of inclusion. Planetary citizenship refers to a life orientation where the boundary between humans and the rest of nature disappears. It refers to the citizen who is simultaneously a local, global and planetary actor. The attachment to something larger could help planetary citizens grow towards being a person who is aware and reflective and can look at the world from new perspectives. Experiences of planetary inclusion could also help to solve the problems of climate change, depletion of natural resources and biodiversity loss.

Strategic Planning of Rural Telecommunication Infrastructure: A Multi-Source Data Fusion and Optimization Model

Abstract. The United Nations has underscored the critical role of digital connectivity by integrating it into several sustainable development goals, with the ambition for nations worldwide to achieve comprehensive access by 2030. Over thousand million people, primarily in rural areas, are disconnected from the digital world, highlighting the urgent need for viable and sustainable telecommunications solutions. These areas are characterized by sparse populations and lower economic levels, presenting great challenges for connectivity. This work introduces a strategy for enhancing rural telecommunication planning using geospatial and remote sensing data, deep learning-based clustering techniques, network graphs, and terrain analysis. The objective is to develop an optimal network topology and identify prime locations for telecommunications infrastructure, such as towers or relay stations. The methodology begins with the application of an adapted Deep Embedded Clustering (DEC) technique to identify community boundaries accurately. Then, it combines geospatial data (such as roads, terrain slope, flatness, etc.) and remote sensing data (vegetation, waterways, etc.) through an optimization algorithm. This process aims to determine the most suitable sites for infrastructure placement and the best network topology for connecting these areas. The study focuses on the region of Congo, offering a detailed case study on the application of this approach. Experimental results are presented to demonstrate the effectiveness of the proposed telecommunications expansion strategy.

Identifying influential nodes based on the disassortativity and community structure of complex network

The complex networks exhibit significant heterogeneity in node connections, resulting in a few nodes playing critical roles in various scenarios, including decision-making, disease control, and population immunity. Therefore, accurately identifying these influential nodes that play crucial roles in networks is very important. Many methods have been proposed in different fields to solve this issue. This paper focuses on the different types of disassortativity existing in networks and innovatively introduces the concept of disassortativity of the node, namely, the inconsistency between the degree of a node and the degrees of its neighboring nodes, and proposes a measure of disassortativity of the node (DoN) by a step function. Furthermore, the paper analyzes and indicates that in many real-world network applications, such as online social networks, the influence of nodes within the network is often associated with disassortativity of the node and the community boundary structure of the network. Thus, the influential metric of node based on disassortativity and community structure (mDC) is proposed. Extensive experiments are conducted in synthetic and real networks, and the performance of the DoN and mDC is validated through network robustness experiments and immune experiment of disease infection. Experimental and analytical results demonstrate that compared to other state-of-the-art centrality measures, the proposed methods (DoN and mDC) exhibits superior identification performance and efficiency, particularly in non-disassortative networks and networks with clear community structures. Furthermore, we find that the DoN and mDC exhibit high stability to network noise and inaccuracies of the network data.

اثر انموذج بيركنز- بلايث في التفكير التحليلي وتعلم مهارة استقبال الارسال لدى طلاب كلية التربية البدنية وعلوم الرياضة جامعة واسط

The Perkins-Blythe model is one of the models that brings great benefit to students by encouraging, exciting, and motivating them to be cooperative in groups. The importance of the research was highlighted in the research based on the Perkins-Blythe model in analytical thinking and learning the skill of receiving the serve among students of the second stage. The aim of the research was to prepare educational units using the Perkins-Blythe model for the skill of receiving the serve in volleyball and to identify the effect of the Perkins-Blythe model on analytical thinking and the skill of receiving. Serving volleyball for second stage students. The research also aimed to prepare a measure of analytical thinking for the students of the second stage of the College of Physical Education and Sports Sciences, University of Wasit. The researchers adopted the experimental method for the two equal groups, the experimental and the control, and the boundaries of the research community were represented by the students of the second stage of the College of Physical Education and Sports Sciences, University of Wasit, for morning study continuing in the academic year (2023-2024). The number of students was (185) and they were divided into the exploratory sample, which numbered (10) students, and (24) students for the main research sample, divided into two groups: the experimental group, which numbered (12) students, and the control group, which numbered (12) students. As for the sample numbers, it was (100) students, and the remaining ones were excluded. The researchers concluded that the Perkins-Blythe model has a positive impact on analytical thinking and learning the skill of receiving a volleyball serve. Also, applying the steps of the Perkins-Blythe model is appropriate for the students’ mental and physical abilities, as well as generating desire and motivation in them. Active participation in analytical thinking and learning the skill of receiving a volleyball serve. The researchers recommended emphasizing raising the level of students with sufficient cognitive information when learning the practical, applied aspect, and urging teachers to diversify teaching methods for everything new by employing modern models, including the Perkins-Blythe model in teaching volleyball to students. Adopting the analytical thinking scale prepared by researchers in educational centers, Ministry of Education schools, and colleges of physical education and sports sciences.

Developing urban building energy models for shanghai city with multi-source open data

Urban building energy modeling is crucial for guiding carbon reduction policies, but acquiring reliable data at the urban scale remains challenging. This study develops a model for Shanghai City, China, by integrating multi-source open data. Eight data sources were collected, including maps, satellite imagery, and GIS data, covering 609,763 building footprints and 539,119 buildings (1.57 billion m2). Spatial analysis, supervised learning, and unsupervised machine learning methods were used to categorize buildings into 63 prototypes, and classification accuracy reached 95 %. Historical satellite data and community boundaries determined the year built for over 95 % of buildings. Prototypes were modeled in AutoBPS using local energy saving standards and simulated in EnergyPlus to derive energy use intensities aligning with government ranges. This work demonstrates a practical data fusion approach to develop large-scale, reliable urban building energy models. Integrating heterogeneous open data sources expands the coverage of open data and improves accuracy. The framework and insights provide a valuable foundation to leverage open data for advancing city-scale energy modeling and sustainability planning.

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community–resident complex networks

Abstract We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

The value of adding black carbon to community monitoring of particulate matter

Low-cost particulate matter (PM) sensors are increasingly used by researchers, public health agencies, and the public to measure spatial and temporal variations in air pollution, which can inform strategies for community air pollution reduction. While low-cost PM sensors provide a valuable measure of harmful fine particulate matter (PM2.5), a significant portion of ambient PM2.5 is typically the secondary product of air pollution emitted by varied sources outside of community boundaries. In contrast, concentrations of black carbon (BC), a component of PM2.5, are directly emitted by a few specific sources, such as diesel engines within communities. Motivated by community organizations seeking to understand persistent sources of local pollution, this study deployed a suite of custom-built BC sensors alongside a network of low-cost PM sensors for four weeks in two seasons at 50 stationary locations in the adjacent cities of Richmond, North Richmond, and San Pablo, California, east of the San Francisco Bay. Concentrations of BC varied more than PM2.5 both temporally and spatially. Monthly network-average BC was 3 × higher in winter than late spring, while PM2.5 was only 10% lower. In both seasons, average PM2.5 concentrations at two-thirds of sites were within ±10% of the network average, whereas two-thirds of sites had BC levels outside of ±10% of the network-average concentration. The most and least polluted locations were more persistent across seasons for BC than PM2.5, and the temporal dynamics of BC at these sites were similar, signifying that they are impacted by the same emission sources. Together, these spatiotemporal trends show that BC is a better indicator of the proximity and activity of local pollution sources than PM2.5. Thus, including BC in addition to PM2.5 in community monitoring networks can provide additional insights about local sources of air pollution.

CONCEPTUAL PREREQUISITES AND PRINCIPLES FOR CHANGING THE DESIGNATED PURPOSE OF INDUSTRIAL LAND OF TERRITORIAL COMMUNITIES

Developing territories in accordance with the principles of sustainable land development is easier and more effective together with the people who directly use these lands, as well as executive authorities, who, with the involvement of the public, know, understand, and implement changes. For reasonable and prompt decision-making on land issues, the territorial communities must have up-to-date information support with data about all land parcels and property within the boundaries of territorial community. Industrial lands deserve special attention, because due to their rational use, it is possible to achieve an increase revenue to local budgets. Today, the state of industrial lands in Ukraine is negatively affected by the presence of a significant number of industries that require modernization, including infrastructural transformations with the provision of further balanced consideration of the ecological component of the territories' sustainability. The purpose of the work is to substantiate the principles of determining and changing the target designation of industrial lands within the territorial communities to improve their functioning and ensure their competitiveness. The development of urban planning documentation is a mandatory prerequisite for changing the purpose of industrial land of the territorial community to another purpose and vice versa. Management of the development of territories today directly depends on the planning structure and functional zoning of settlements. The changes of legal acts should have been taken effect from July 2021, but inconsistencies were found in the legislation of Ukraine, which relate to the functional zones approved by the comprehensive spatial development plan of the territory of territorial communities, within which the change of purpose must take place. Due to the introduction of martial law in Ukraine, the pace of development of urban planning and land management documentation slowed down, and as a result, today there is no any approved comprehensive spatial development plan. That is, it has been 2 years since the changes came into effect, but the change of the land purpose is carried out according to the old procedure with the development of land management documentation. Taking into account the above-mentioned components, the authors identified three main prerequisites for changing the target purpose: 1. The needs of industrial enterprises in the context of modern economic challenges. Changes in technology and production practices may require adaptation of land use to ensure the efficient functioning and competitiveness of enterprises. 2. Integration of social aspects into the decision-making process. It is important to consider the impact of these changes on local communities and ensure citizen participation in the process of determining the future use of industrial land. 3. The need to settle environmental issues. The change of purpose must take into account the potential effects on the environment and natural resources. Based on the prerequisites described above, the authors developed the principles of industrial land transformation, which take into account the principles of sustainable development. By following the developed principles, stakeholders can guide the transformation of industrial land in a way that maximizes benefits, minimizes negative impacts and promotes sustainable development.

MUHAMMAD IQBAL AND THE IDEA OF DYNAMIC ISLAM

This article explores Muhammad Iqbal's profound influence on the concept of Islamic dynamism in the early 20th century. Known as Allama Iqbal, he significantly shaped Pakistan's ideological foundations and advocated for a rejuvenated understanding of Islam in the context of modernity. The article delves into Iqbal's philosophical views on the dynamic nature of Islamic thought, emphasizing its adaptability to contemporary challenges. It examines his vision of a dynamic Islamic philosophy that balances tradition with progress, stressing the need for intellectual and spiritual revival. Additionally, the article explores Iqbal's ideas on integrating traditional Islamic values with advancements in science, philosophy, and social dynamics. It highlights his call for a unified Muslim community, transcending geographical and cultural boundaries, and discusses his impact on political discourse, advocating for the harmonious integration of Islamic principles into the socio-political fabric. In conclusion, the article aims to provide a comprehensive understanding of Iqbal's nuanced perspective, urging Muslims to embrace a dynamic approach for intellectual growth, societal development, and a unified Muslim identity in the contemporary world.

РОЗВИТОК СІЛЬСЬКО-МІСЬКИХ АГЛОМЕРАЦІЙНИХ УТВОРЕНЬ НА ЗАСАДАХ ІНКЛЮЗИВНОСТІ: УКРАЇНСЬКИЙ ТА МІЖНАРОДНИЙ КОНТЕКСТ

At the current stage of the development of globalization, which is characterized by increasing contradictions between the development of urbanization and ruralization both in developed countries and in developing countries, the role of agglomeration formations in solving socioeconomic, ecological and political problems is growing. In Ukraine, the growth of the role of agglomerations in the development of various spheres of social life due to the consequences of the reform of decentralization of public power and management, the conditions of war. Given this, the chosen research topic has significant scientific relevance and practical significance. The purpose of the study is to analyze the domestic and international context of the development of rural-urban agglomeration formations on the basis of inclusiveness. For her implementation, the following tasks were formulated: to find out the essence, common and distinctive features of urban and rural-urban agglomerations; to to determine the factors of formation of rural-urban agglomeration formations in Ukraine and in foreign countries; to characterize the specifics of the development of Ukrainian rural-urban agglomerations on the basis of inclusiveness in comparison with their foreign counterparts. In the process of research, the essence of agglomerations was determined and common and distinctive features of classic (urban) agglomerations and rural-urban agglomeration formations were revealed. Considerable attention is paid to the characteristics of the prerequisites and factors of the formation of rural-urban agglomerations. It has been proven that the formation within the spatial boundaries of united territorial communities and consolidated districts with a “mixed” composition of the population, available various resources and functions, common interests of the their inhabitants, united around the problem of improving the quality of life, became an impetus for the inclusion of the rural and urban population in the process creating inclusiveness. On the basis of a comparative analysis of the Ukrainian and international context of the development of rural-urban agglomeration formations on an inclusive basis, a conclusion was drawn regarding the key role of this process in restoring the peaceful life of Ukrainian communities and districts in the post-war period. This problem becomes especially relevant for the territories of Ukraine that were under occupation or suffered as a result of enemy shelling. Based on the results of the research, conclusions were drawn and the directions of further scientific research on this issue were outlined.

Traditional Institutions and the Management of Communal Conflicts in Gwer-East Local Government Area of Benue State, Nigeria

This study examined traditional rulership institution and the management of communal conflicts in Gwer-East local Government Area, Benue State of Nigeria. The study aimed at finding out why there is a persistence of communal conflicts in the study area even with the efforts by traditional rulers to help manage them. The study pursued objectives that range from; ascertaining the relevance of the traditional rulers in communal conflict management, identifying the causes of communal conflicts, examining the effectiveness of traditional rulers in the management of communal conflicts, identifying the challenges faced by traditional rulers in the management of communal conflicts and advancing ways of ensuring the effectiveness of traditional rulers in the management of communal conflicts in the study area. The descriptive research design was adopted for the study. Questionnaires were used for data collection and the analyses done using simple percentage presented in tabular form. Structural functionalism was adopted for the study. The findings of the study revealed that land dispute is the major cause of communal conflicts in the local government area. Equally too, it was found out that traditional rulers have not been effective in the management of communal conflicts owing largely to the lack of cooperation from warring communities. This showed, as revealed from this finding, the lack of respect for the traditional rulership institution in the local government area. The study also revealed that sensitization and awareness campaigns for attitudinal change by community members are the major ways of enhancing the effectiveness of traditional rulers in the management of communal conflicts in the area. The study concludes that traditional rulers are relevant in communal conflicts management as they are considered traditional administrative structure for community mobilization. The study made recommendations in the light that; traditional rulers should be given additional powers other than mere advisory and assistance roles, the government should revisit community boundaries and make them clearer to curtail issues of encroachment into peoples’ lands in the area and the beef-up of check mechanisms on traditional rulers to help unfold irregularities of biased settlements, corruption and primordialism.

A new approach to finding overlapping community structure in signed networks based on Neutrosophic theory

Abstract One of the longstanding challenges in network science is the identification of overlapping community structures. Real-world networks often exhibit a complex interplay of positive and negative relationships, making the recognition of overlapping communities a crucial area of research. Current community detection methods in signed networks primarily focus on discovering disjoint communities, where each node belongs exclusively to a single community. However, these algorithms often fail to detect overlapping communities, where nodes can belong to multiple communities simultaneously. To address this limitation, we propose a novel approach called Neutrosophic c-means Overlapping Community Detection (NOCD) based on neutrosophic set (NS) theory. By incorporating NS theory, our approach effectively handles the uncertainty associated with ambiguous community boundaries and appropriately handles nodes on the community boundaries and isolated nodes. The NOCD method comprises two phases: firstly, a signed graph convolutional neural network is employed to learn the structural features of the signed network in a lower-dimensional representation; secondly, overlapping communities are detected using the neutrosophic c-means algorithm applied to the embedded network. To evaluate the effectiveness of our proposed NOCD method, we conducted comprehensive experiments on both real and artificial networks. The experimental results demonstrate the effectiveness and robustness of NOCD in identifying overlapping communities, outperforming existing methods. [Received on 3 August 2023; editorial decision on 13 December 2023; accepted on 19 December 2023]