EVOLUTION OF TURKISH MOVIE CLUSTER: A SOCIAL NETWORK ANALYSIS PERSPECTIVE

Considering the spatial spillover effects of carbon emissions， scientifically analyzing the spatiotemporal evolution of land use carbon emissions and the characteristics of spatial correlation network structures has great guiding significance for the formulation of differentiated emission reduction strategies and the realization of the "dual carbon" goals. This paper takes Guangdong Province as the research object and analyzes the spatiotemporal evolution characteristics of land use carbon emissions in the province from 2000 to 2020 from the perspective of social network analysis. It also conducts a study on the spatial correlation network analysis of land use carbon emissions and carbon balance optimization zoning. The study reveals several important results： ① In the past 20 years， the amount of land use carbon emissions in Guangdong Province has increased significantly， showing an overall distribution characteristic of being higher in the central part and lower around the periphery of the province. ② The carbon ecological carrying capacity of Guangdong Province presents a "core-periphery" structure with a gradual increase from the center to the outside. The cities in the Pearl River Delta face greater carbon emission pressure， whereas the northern and western regions have stronger carbon sink functions. ③ Guangzhou， Shenzhen， and Dongguan play a core role in the network， fully receiving spillovers from other sectors and serving as net benefit sectors. The eastern， western， and northern cities， located on the edge， have become net spillover sectors. Zhongshan， Zhuhai， and Foshan act as economic sectors， playing a key "bridge" role. The connectivity and network stability of land use carbon emissions among cities are gradually strengthening. ④ Guangdong Province is divided into five carbon balance zones， a carbon concentration zone， carbon regulation zone， high-carbon optimization zone， linkage carbon emission zone， and low-carbon development zone， along with multiple core city areas and action city areas. Based on the characteristics of the different zones， differentiated measures for emission reduction and efficiency enhancement are proposed. The research results provide some references for optimizing the territorial spatial structure and promoting regional collaborative low-carbon development in Guangdong Province.

PurposeThe purpose of this paper is to introduce a social network analysis (SNA) toolkit aiming to enable leaders, educators and researchers work together to deepen their understanding of classroom social network dynamics. In doing so, the authors provide both theoretical and practical steps in building a bridge between theory and practice and a step-by-step introduction to designing and implementing SNA to understand socially responsive classrooms. To make the case, the authors present data that were collected through an SNA survey completed by eighth graders in two highly diverse classrooms in Southern California.Design/methodology/approachDriven by an SNA perspective, the authors highlight the potential value of examining social interdependencies and interconnectedness among students in a classroom network. The SNA toolkit was employed to calculate social network measures and develop network maps for each classroom.FindingsThe toolkit has shown to provide a comprehensive platform in gaining important insights into students’ social relationships, particularly those who are underserved and at higher risk of exclusion. The findings have shown that some of the students in the two classrooms were more likely to remain on the periphery of their social networks, particularly those who are traditionally more likely to be marginalized including students with disabilities as well as racially and linguistically diverse students.Originality/valueThe toolkit in the hands of leaders and teachers may provide a powerful tool for personalized professional development and act as a catalyst in bridging the gap between research and practice.

In analysing and modelling the Tuscany regional system of innovation poles (www.poliinnova zione.unimore.it), we examine systematically available information on websites with two objec-tives: (i) to analyze the variety of language and content that characterize the poles in their online activities; (ii) examine the extent poles refer to the same institutions, enterprises, organizations, projects, and among these, organizations / or activities directly related to the (such as the compa-nies managing the poles laboratories, incubators, the adherents ). This paper offers a linguistic analysis of the websites produced by innovation poles in Tuscany, in order to provide a set of var-iables for the evaluation of their promotion strategies. The focus of the analysis is the evaluation of original vs. reported information, which is here used as indicator of the innovation poles' en-gagement in the promotion of their activities. The purpose is to quantify the level of engagement that each single network has bu ilt – on its website – through the publication of texts. Through Corpus Linguistics methodology, and using both a quantitative and a qualitative ap-proach (similar to the one proposed by the CADS framework), this papers looks at how the inno-vation poles taken into account have used a set of 24 terms related to the notions of innovation and promotion (business, businesses, centers, collaboration, knowledge, finance, management, manager, business, business, industrial, innovation, pole, poles, processes, projects, design, re-search, service, services, development, technology , technologies, territory). By looking at whether these terms appear in original or reported (produced by third-parties) texts, and at how their mean-ings and connotations are constructed in the former cases, this paper identifies how active have the innovation poles been in promoting their work. In addition to linguistic analysis, text analysis of web pages also allowed to identify main domains (urls) and complete links mentioned on the websites of poles. Adopting a perspective of social network analysis, with information on these virtual networks we analysed two issues relevant to modelling the system of innovation poles: through the quotes of major domains, we highlight the extent to which the web sites have reported the poles connections with each other and with those involved in technology transfer; through the analysis of complete links present on the websites of individual poles we can identify to what extent the poles refer to the same information space. The presentation is structured as follows: section 1 presents the data, tools and methodology used in linguistic analysis; section 2 presents linguistic analysis of the 24 selected terms; in section 3 vir-tual networks are analysed; section 4 concludes. Appendix 1 presents the technical details on the collection and subsequent data cleansing; Appendix 2 contains the list of the top link complete inside of the poles of the sites surveyed.

Building social computing system in big data: From the perspective of social network analysis

Wiretaps as network data? The possibilities and limitations of using wiretaps for SNA on organized crime The literature on using Social Network Analysis (SNA) in criminological research is expanding. The SNA perspective already changed the way we look at organized crime. More often organized crime is referred to as changeable social networks instead of hierarchical structured organizations like the Italian or American mafia. In this respect, SNA seems to lack behind in empirical research on organized crime. Mainly, this is due to the lack of suitable network data on organized crime. For obvious reasons, commonly used methods of gathering network data – such as questionnaires – are less suitable for research on organized crime. Suspects of organized crime have not much to gain from talking about their ‘comrades in crime’. Alternative data need to be explored. Wiretaps from criminal investigations are one such source. In this contribution the SNA perspective is used to present an overview of the possibilities and limitations of using wiretaps for SNA. It follows that wiretaps from criminal investigations should be regarded as ego-centered network data. Therefore, research questions and objective for both criminal investigations as well as scientific research should be directed to the personal networks of suspects instead of the network as a whole.

The Department of Defense (DoD) manages capabilities through the Joint Interoperability and Capability Development System (JCIDS) process. As part of this process, sponsors develop a series of DoD Architecture Framework (DoDAF) products to assist analysts understand the proposed capability and how it fits into the broader network of DoD legacy systems and systems under development. However, the Joint Staff, responsible for executing the JCIDS process, often analyzes these architectures in isolation without considering the broader network of systems. DoD leadership, the Government Accountability Organization, and others have noted the lack of the DoD's ability to manage the broader portfolio of capabilities in various reports and papers. Several efforts have proposed merging DoDAF architecture into a larger meta-architecture based on individual system architectures. This paper specifically targets the Systems View 3 (SV-3), System-to-system matrix, as an opportunity to merge multiple DoDAF architecture views into a network of system and understand the potential benefits associated with analyzing a broader perspective. The goal of merging multiple SV-3s is to better understand the interoperability of a system within the network of DoD systems as network metrics may provide insights into the relative interoperability of a DoD system. Currently, the DoD's definition of interoperability focuses on the system or capability's ability to enter and operate within the DoD Information Network (DoDIN); however, this view limits the definition of interoperability as it focuses solely on information flows and not resource flows or physical connections that should be present in a SV-3. The paper demonstrates the importance of including all forms of connections between systems in a network by comparing network metrics associated with the different types of connections. Without a complete set of DoDAF architectures for each system within the DoD and based on the potential classification of these products, the paper collates data that should be included in an SV-3 from open source, unclassified references to build the overall network of DoD systems. From these sources, a network of over 300 systems with almost 1000 connections emerges based on the documented information, resource, and physical connections between these legacy and planned DoD systems. With this network, the paper explores the quantification of individual system's interoperability through the application of nodal and network metrics from social network analysis (SNA). A SNA perspective on a network of systems provides additional insights beyond traditional network analysis because of the emphasis on the importance of nodes, systems, in the network as well as the relationship, connections, between the nodes. Finally, the paper proposes future work to explore the quantification of additional attributes of systems as well as a method for further validating the findings.

Los grupos de investigación de instituciones educativas, al ser organismos formales de trabajo, desarrollan formas de colaboración que pueden ser estudiadas bajo la óptica del análisis de redes sociales (ARS). Con la finalidad de revelar cómo las características de la red influyen en la eficacia y la consecución de las tareas de estos grupos de investigación, se presenta una investigación que buscó las posibles relaciones entre la producción intelectual de los grupos de investigación y las distintas métricas del análisis de redes sociales. En total se analizaron 548 publicaciones en las que participaron 420 profesores. Los resultados de la investigación muestran la existencia de una relación estadísticamente significativa y positiva entre la producción intelectual y las métricas de grado e intermediación. Asimismo, se encontró una relación significativa y positiva entre la producción intelectual de los grupos de investigación y la métrica de diámetro.

This article employs social network analysis as a mechanism to bridge the typical ways of talking about usage statistics and to provide a context-specific perspective about the mediated use of electronic resources. The article reports on an analysis of data gathered at the Loyola Marymount University (Los Angeles, California) about standard usage statistics as well as library Information Desk encounters during which an electronic resource is mentioned. Our analysis demonstrates that e-resources are suggested and used in concert; there are central resources that are mentioned together, instead of a single e-resource being suggested alone to resolve a given information need. We also learned that half of the available electronic resources are not suggested once during the year analyzed. The conceptual results of this work support the use of social network analysis in examining other relational aspects of library work. Practical results are reported as well, most notably the use of more than one resource to fulfil an information need.

BackgroundWorkforce development is an important aspect of evidence-informed decision making (EIDM) interventions. The structure of formal and informal social networks can influence, and be influenced, by the implementation of EIDM interventions.MethodsIn a mixed methods study we assessed the outcomes of a targeted training intervention to promote EIDM among the staff in three public health units in Ontario, Canada. This report focuses on the qualitative phase of the study in which key staff were interviewed about the process of engagement in the intervention, communications during the intervention, and social consequences.ResultsSenior managers identified staff to take part in the intervention. Engagement was a top-down process determined by the way organizational leaders promoted EIDM and the relevance of staff’s jobs to EIDM. Communication among staff participating in the workshops and ongoing progress meetings was influential in overcoming personal and normative barriers to implementing EIDM, and promoted the formation of long-lasting social connections among staff. Organization-wide presentations and meetings facilitated the recognition of expertise that the trained staff gained, including their reputation as experts according to their peers in different divisions.ConclusionSelective training and capacity development interventions can result in forming an elite versus ordinary pattern that facilitates the recognition of in-house qualified experts while also strengthening social status inequality. The role of leadership in public health units is pivotal in championing and overseeing the implementation process. Network analysis can guide and inform the design, process, and evaluation of the EIDM training interventions.

Part 1: The business model of industrial districts and clusters in the knowledge-based view and in the social network analysis perspective 1. The international fragmentation of the industrial districts value chain between relocation and global integration Fiorenza Belussi and Alessia Sammarra 2. Situated business networks facing globalisation: a critical assessment Fiorenza Belussi and Silvia Sedita 3. Boundary spanning strategies of industrial districts: the impact of absorptive capacity Tine Aage Part 2: Industrial districts and clusters in the global value chains. A taxonomical exercise on the path-dependent avenue of Marshallian/Satellite/Evolutionary/Science districts 4. Industrial districts and clusters in the global value chain: the cases of Saonara, Pistoia and Boskoop Fiorenza Belussi and Silvia Rita Sedita 6. The evolution of the Montebelluna sportswear district through knowledge creation, ICT adoption, and international commercial nets Fiorenza Belussi 7. A low road to competitiveness in the global apparel industry: the case of the Vibrata Valley district Alessia Sammarra 8. From proximity advantages to organisational advantages through the global extension of an industrial district: the case of the district of Verona Fiorenza Belussi 9. Facing globalisation through inward and outward investments and international research collaboration: evidence from the biomedical district of Mirandola Fiorenza Belussi and Alessia Sammarra 10. Moving immigrants into western industrial districts: the inverse delocalisation of the leather tanning district of Arzignano Fiorenza Belussi and Silvia Rita Sedita 11. The clustering R&D through the institutional mechanisms in the Paris Region Najoua Boufaden, Sofiene Lourimi and Andre Torre 12. Transferring entrepreneurialship: the making of the cluster of Timisoara Fiorenza Belussi 13. How deeply embedded is the footwear agglomeration in Timisoara? Simona Montagnana 14. The Evolution of External Linkages and Relational Density in the Tuscan Leather Industry Lorenzo Bacci and Mauro Lombardi and Sandrine Labory 15. Local development and innovation policies in China: the experience of Guangdong specialised towns Annalisa Caloffi 16. Industrial Clusters in the Brazilian Ceramic Tile Industry and the New Challenges of the Competition in the Global Value Chain Renato Garcia and Gabriela Scur 17. The localisation of multinationals in Italian clusters between Marshallian and urban externalities Nicoletta Tessieri

Elite ice hockey players experience intense competitive pressure requiring team coordination to manage these challenges. Understanding how communal coping occurs within teams and its impact on team performance in high-pressure sports environments is crucial. This study first explores the role of identity leaders in initiating communal coping dimensions within their team. Second, it aims to evaluate how communal coping relates to subjective team performance under pressure. Data were collected from 15 elite ice hockey teams across France, Switzerland, and Canada, comprising 395 male athletes (Mage = 21.85, SD = 6.38). Social network analysis was used to examine relationships between identity leaders and communal coping dimensions including problem-focused communal efforts, communal management of emotions, and communal-goal withdrawal. Perceived team performance under pressure was assessed. QAP analyses indicate that identity leaders are significantly and positively associated with problem-focused communal efforts and communal management of emotions. In contrast, the relationship between identity leaders and communal-goal withdrawal varied across teams, indicating contextual variability. The results regarding correlations between communal coping dimensions and subjective team performance under pressure indicate that problem-focused communal efforts and communal management of emotions are both significantly and positively associated with subjective team performance under pressure. Conversely, communal-goal withdrawal was negatively associated with subjective team performance under pressure. These findings underscore the critical role of identity leaders in implementing communal coping. Moreover, this study highlights the relationships between communal coping dimensions and subjective team performance under pressure, advancing theoretical insights into social dynamics in elite team sports under pressure. Lay Summary Elite ice hockey players cope with intense pressure which requires team stress management. Results highlight the critical role of leaders in the collective management of high-pressure sports. They also provide preliminary support for the relationship between communal coping dimensions and subjective team performance.

Entrepreneurship in the Eyes of Network Science

This paper describes the dynamic propagation process of the influence of public service advertisements (PSAs) using the information dissemination model and proposes a click probability function by modeling the click rate of advertisements, which is solved by a heuristic method. The EPR advertisement recommendation algorithm is selected to simulate the push process of the advertisement, and the experimental performance is analyzed. Analyze the presentation of Shaanxi regional culture and the network mobilization mechanism model of enterprise public service advertisement, predict and analyze the click rate of public service advertisement broadcasting, and emphasize the trust analysis of the audience. Variables such as the number of effective viewing of advertisements, the number of link clicks, the number of likes, and the amount of placement are selected to carry out descriptive analysis and correlation analysis of the effect of PSAs on Shaanxi regional culture. From the correlation coefficient matrix, it can be seen that the correlation coefficients between the explanatory variables take smaller values and are at the level below 0.11, and the number of likes has significant positive correlation coefficients with the indicators of advertisement effect at each stage. Thus it can be verified that the social attributes of advertisements play a positive role in the effect of advertisements.

Social network analysis is widely used in the study of interactive behaviors in online collaborative learning activities. It explores the rules of group networks and finds the rules of personal development through community graphs and average degree equivalents. Using social network analysis methods to study collaborative learning is conducive to exploration the nature of the collaborative learning process which provides valuable practical support for the development of online collaborative learning. This study took 47 second-year undergraduates majoring in educational technology as the research objects, and carried out research-based collaborative learning activities based on Tencent online documents in small groups. We recorded the dialogue behavior of each student during the online collaboration process. And we classified the information into information sharing, approval, Disagreement, interrogative, comprehensive, and field-controlled discussions. We use Gephi software to build a classified comprehensive social network, and analyze the characteristics of the collaborative network based on average degree, graph density, average path length, and average clustering coefficient value, and Combining group role characteristics. We explore the relationship between group, group role, and academic performance. The results of the research show that most of the group's dialogue activities are more inclined to general information sharing and discussion. The group with high cohesion may not achieve the highest results, and the role of the group leader as a leader may not be the best in academic performance.

Under the “Belt and Road” Initiative （BRI）, Chinese companies’ “go-global” has gradually become an important strategy for industrial upgrading. However, many “go-global” companies have met the liability of foreignness （LOF）, including legitimacy problems and the threat of exit. How to overcome LOF has become an urgent problem for the overseas subsidiaries of “go-global” companies.We illustrate our arguments through a single case of Chinese multinational subsidiary Taiwenlong Cement Co., Ltd. in Cambodia. This paper studies from the perspective of social network analysis to identify the source of LOF, and discusses the mode of transforming LOF into the asset of foreignness （AOF）. The case company, Taiwenlong Cement Co., Ltd., is a joint venture between a Chinese company and a host-country company. As a representative of the successful transformation of LOF into AOF, this project experienced both the “honeymoon period” and the “setback period” in its construction and operation process and finally gained a foothold in Cambodia after various attempts.Based on the case analysis, we find that under the BRI, LOF of foreign subsidiaries of Chinese companies in countries along the BRI shows dynamic changes. This paper has several contributions: Firstly, under the BRI, the government-enterprise relationship and industrial chain relationship of the host country are important sources of LOF. Secondly, with the development of Chinese companies’ “go global”, the focus of overcoming LOF has gradually shifted from the national level to the industrial level. The key to the transformation of AOF and LOF lies in matching the adequate industry chain network. Finally, the home government support, technology transfer and industrial agglomeration can promote the transformation of LOF into AOF in the industry chain. Therefore, we construct three transformation routes: （1）Multi-agent centralization mode, through which foreigners can use different types of network resources including not only the government, shareholders, industrial partners in the home country, but also the subjects of local network in the host country, to obtain higher network status in a situation where foreigners can afford a high level of LOF.（2）Foreignness centralization mode, in which foreigners can establish a self-centered industrial chain network, occupying an intermediary role in the flows of information and resources in the case that they can dominate the allocation of network resources.（3）Industrial centralization mode, in which foreign companies can build network with a few industrial partners through the scale advantage of industrial clusters under the case of relatively scarce network resources. The conclusions of this paper have positive implications for the promotion of high-quality development of BRI and Chinese private companies to “go global”.