Related Keywords Research Articles

A systematic approach of efficacy and safety of herbal medicine in the treatment of Vitiligo

Vitiligo is a chronic dermatological disorder caused by the loss of melanin. Conventional therapies for vitiligo require prolonged treatments, have low efficacy, and are complicated by side effects. This study aimed to review the role of herbal medicine in the treatment of vitiligo. A comprehensive search was conducted in PubMed, Embase, and Google Scholar for studies conducted till December 2023 using related keywords linked with Boolean operators such as AND, OR, and NOT. Subsequently, a more comprehensive search was performed using the name of each specific herb. A variety of herbs were used to treat vitiligo. The most widely used herbal therapies among vitiligo populations were Khellin, Ginkgo biloba L., Picrorhiza kurroa, Polypodium leucotomos, Cucumis melo, Psoralea corylifolia L., Turmeric, Curcumin, and Nigella sativa L. were used either alone or in combination with other therapies. The majority of herbs were found to be efficacious with negligible side effects. No severe toxicities were reported. Most herbal medicines showed a positive impact on vitiligo. Therefore, healthcare providers may consider herbal medicine as an option for patient’s refractory to conventional therapies

Health information seeking and health literacy in midwife-led care and the modern information environment

Abstract Background This review reports on how midwives are affected by the modern digital information environment, including health misinformation, and how their knowledge or competencies assist them in navigating this for themselves and their clients, especially those who are more vulnerable and experience inequities in healthcare. Methods Leveraging a PRISMA-based systematic review, the project identifies the facilitators and barriers that the modern digital information environment poses to midwives and the care they provide to their clients. The search strategy of the peer-reviewed literature examines articles related to midwives and misinformation, social media, information environment, digital health, health information, migrant women and other related keywords that surface in searches. The timeframe from which published articles will be identified for possible inclusion are from Jan 1, 2020 to March 31, 2024. Results Both midwives and the clients they care for experience challenges in navigating the digital information environment and addressing health-related misinformation on reproductive health and pregnancy-related topics. Conclusions Midwives should receive strengthened training on digital literacy to improve the care they provide to clients and help their clients navigate a confusing and rapidly evolving information environment. Through digital and in-person interactions with their clients, midwives can improve their clients’ digital information, and health literacies.

Aromatic terminology. Highlighting the keywords polycyclic aromatic hydrocarbons (PAHs) and polycyclic aromatic compounds (PACs)

AbstractThe present Review on aromatic terminology was prompted by a recent series of articles exploring the chemical space of polycyclic aromatic systems and introducing new related keywords. The keywords polycyclic aromatic hydrocarbons (PAHs) and polycyclic aromatic compounds (PACs) are highlighted. Keywords and other entities relevant to PAHs and PACs are outlined. The article calls the community of polycyclic aromatic hydrocarbons and polycyclic aromatic compounds to use these two leading keywords and their acronyms PAHs and PACs and the accompanying keyword benzenoid hydrocarbons, but to refrain from using and coining related new and previously proposed similar general keywords. This recommendation does not rule out keywords combining ‘polycyclic aromatic’ and a specific functionality, e.g., polycyclic aromatic ketones.

The Correlates of Psychological Resilience in Turkish Adolescents During The COVID-19 Pandemic: A Systematic Review

Adolescents, already in a vulnerable state due to the challenges of adolescence, were among risk groups to develop psychosocial and emotional problems during the COVID-19 pandemic. Research conducted with adolescents identified psychological resilience as one of the protective factors which helped them cope better with pandemic-related adversities. The aim of this systematic review is to determine the correlates of Turkish adolescents’ psychological resilience to gain a better understanding of its protective role during the pandemic. Using the related keywords (Turkish adolescents, students, psychological resilience, COVID-19 Pandemic) and limiting the publication period as 2020-2024, a database search was conducted, in which 340 articles were identified. 10 articles that met the eligibility criteria were included in the systematic review. By reviewing the articles systematically, doing exercise, emotional flexibility, spirituality, hope, parental and peer support, financial support, psycho-education programs supporting pandemic-specific coping, and certain personality traits including openness to new experience, extraversion, conscientiousness, and agreeableness were identified as variables that are positively correlated with psychological resilience. On the other hand, fear of COVID-19, anxiety, depression, post traumatic stress disorder (PTSD), smartphone addiction, playing digital games, online education, exam anxiety and neuroticism are variables that have negative correlation with psychological resilience. Based on the results, it appears that during the COVID-19 pandemic, psychological resilience, in relation with other individual and social/contextual protective factors, functioned as a psychological buffer against psychological problems for Turkish adolescents.

Dengue fever in hyperglycemic patients: an emerging public health concern demanding eyes on the effective management strategies.

Hyperglycemia, also known as diabetes, is a metabolic disorder characterized by elevated levels of glucose in the bloodstream. It can lead to the prolonged dysfunction, injury, and deterioration of several organs. In addition, dengue is a viral illness transmitted by mosquitoes that has reached epidemic proportions worldwide. In this article, we focused on the severity of comorbidities, difficulties in managing them, and preventive measures meant to lessen the risks associated with comorbidities in diabetic patients with dengue infection. We explored a number of databases, including PubMed, Scopus, Embase, Web of Science, Google Scholar, and the Cochrane Library, for this review article using various related keywords. The findings of this review article indicate that elderly dengue patients with diabetes should be admitted to the hospital for close observation and early management using fluid therapy. An observed association exists between dengue hemorrhagic fever (DHF) and diabetes, indicating a possible consequence in this specific group. Additionally, patients with diabetes who contract dengue show elevated levels of inflammatory markers. Diabetes mellitus deteriorates the immune system, which exacerbates the progression of dengue fever. Cutting-edge technology and scientific research may assist in addressing the challenges that diabetes and dengue viruses pose in low- and middle-income countries. Implementing innovative diabetic care management is essential to ensuring consistency of care, improving a healthy lifestyle, and lowering patient risk factors and comorbidities. Dengue fever has spread to epidemic levels throughout the world. Inflammatory markers increase and the prevalence of DHF is greater in diabetes individuals with dengue infection. Given the continued growth of dengue in Asian nations, it is imperative that we concentrate our efforts and resources on providing more precise and effective treatment for this emerging issue.

Quantitative Process of Retrieving Documents on Specific Technology Using an Academic Database and the Sentence Transformer

ABSTRACTAs competition in technologies such as semiconductors and AI intensifies, the importance of technology analysis in establishing R&D strategies is increasing. Although frequently used, technological document searches by domain experts often suffer from limitations in qualitative judgment and inconsistency. This study proposes a process for quantitatively assembling a collection of documents on specific technologies using an academic database and a language model. Using approximately 92 million records from the Web of Science, we identified related keywords from author keywords and used scientometric approaches to determine a core set of technology‐related literature. Then, a deep learning‐based Sentence Transformer model was employed to extract technology literature with high similarity to the documents, ultimately forming a set of documents for technology analysis. This study aims to overcome cognitive limitations and introduce quantitative criteria for technology analysis, which is particularly significant for data‐driven science and technology policy.

Current knowledge and scientific trends in myokines and exercise research in the context of obesity.

The relationship between exercise and obesity has attracted increasing attention from researchers worldwide in recent years. The aim of the present study was to analyze the current knowledge and scientific trends of research into myokines and exercise in the context of obesity and provide ideas for future research strategies to prevent obesity. The study conducted a comprehensive bibliometric analysis of 300 scientific publications related to myokines, exercise, and obesity from 2004 to 2024. Applying the VOSviewer tool, the analysis revealed a significant increase over time in the number of publications on these topics, with a total of 1,142 related keywords identified. Key themes identified in the analysis included molecular processes, new organokines, skeletal muscle research, model organism studies, and human studies based on sex and age differences. The study highlighted the growing interest in the molecular mechanisms of obesity and role of myokines. Results showed a substantial increase in publications from 2014 to 2024, with a focus on new organokines (myokines, adipokines) and animal models. The analysis underscored the importance of myokines in modulating metabolic processes and their potential therapeutic implications in managing non-communicable diseases such as obesity. Furthermore, the study revealed the close relationship between exercise, myokine production, and regulation of metabolism, stress response, and inflammation. In conclusion, over the last years, increasing research interest has been focused on the molecular mechanisms of obesity and benefits of exercise, and probably will be focused on a set of myokines released during muscle contraction. A newly identified myokines has emerged as a promising marker for the prevention and control of obesity.

The role of heat shock proteins in HIV-1 pathogenesis: a systematic review investigating HSPs-HIV-1 correlations and interactions.

The human immunodeficiency virus (HIV) pandemic is a global health emergency. Studies suggest a connection between heat shock proteins (HSPs) and HIV-1 infection pathogenesis. This systematic review aims to summarize HSPs' role in HIV-1 infection pathogenesis. A systematic literature search was undertaken across the National Library of Medicine (MEDLINE-PubMed), Science Direct, Web of Science, Scopus, SpringerLink, Sage, ProQuest, and Google Scholar databases, using related keywords to synthesize the HSPs' role in HIV-1 infection pathogenesis. This literature review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the protocol was registered in the Open Science Framework (OSF) database under DOI 10.17605/OSF.IO/VK3DJ. A database search revealed 3,332 articles, with 14 in vitro studies analysing the interaction between HSPs and HIV-1 across different cell types. HSPs are involved in HIV-1 infection through direct interactions and indirect responses to cellular stress, including HSP40, HSP70, HSPBP1, and HSP90. The study explores HSP interactions at various stages of the viral life cycle, including entry, uncoating, replication, transmission, and latency reactivation. HSPs are crucial for the HIV lifecycle and immune response, offering the potential for new therapeutic strategies. Further research is needed to understand the clinical significance and target potential.

Focuses and Trends of Research on Platelet-Rich Fibrin: A Bibliometric and Visual Analysis

Abstract Background A rapid expansion of study on platelet-rich fibrin (PRF) has gained more attention in the subject. In this study, bibliometrics were used to assess the outputs and trends of relevant PRF studies. An in-depth analysis of the publication patterns and progress in PRF research worldwide was conducted for the purpose of filling in this research gap. Materials and Methods The analysis included 946 papers sourced from Web of Science that included 842 original articles and 104 reviews. A number of factors including country/region, institution, journal, and author were taken into account. Research on PRF development trends was mapped using the frequency of keywords. Results In terms of the total number of publications, China ranked first with 199 papers, whereas the United States ranked first on the H-index with 37. PRF is an active research area in stomatology and craniomaxillofacial surgery. Keywords provided by the authors were designated to three clusters: red, green, and blue. “Growth factor,” “platelet-rich plasma,” and “bone regeneration” were the most frequent keywords in each cluster, which reflect the current interests in corresponding fields. Bone regeneration post-dental extractions is one of the main application directions in the field of oral and maxillofacial surgery. “Membrane,” “injectable PRF (I-PRF),” “case report,” and “advanced PRF (A-PRF)” were relative recent keywords in all clusters, indicating that manufacturing processes and new applications are promising research hotspots in the field. Conclusion In the future, the applications of modified PRF, such as I-PRF, are promising research hotspots. Moreover, strict randomized controlled trials on PRF deserve more attention. The results of this analysis may be helpful for all scholars seeking to expand researches and innovations in the field of PRF.

EHealth Platforms Facilitate Prostate Cancer Shared Care: A Systematic Review.

Prostate cancer survivorship care is essential for the early identification of cancer recurrence and progression and the monitoring of adverse effects. Prostate cancer survivorship programs have enabled care to be shared between specialists using digital healthcare platforms. We systematically reviewed the literature to examine if prostate cancer survivorship care had been successfully digitalised. English language articles were searched on PubMed, Embase, and Cochrane Libraries. The search terms included combinations of "eHealth", "digital health", "prostate cancer", "shared care", and related keywords (studies published between [1 January 1946 and 20 March 2023]). Our search strategy yielded 1722 publications, of which 17 studies were included in our final review. Diverse eHealth interventions (web platforms, apps, patient portals) for digital prostate cancer shared care enabled communication, symptom management, and holistic assessment, with potential for reducing anxiety, enhancing outcomes, and increasing engagement. The studies (9 months to 5 years duration) involved participants across different care phases (16 to 3521 participants). We identified ten eHealth platforms, which provided successful symptom tracking, needs assessment, and communications. The platform-based interventions improved some aspects of communication, symptom management, and care delivery. The ongoing clinical need for a robust digital platform that caters to all domains of shared care was identified. eHealth will certainly play a central role in digital prostate cancer shared care, providing better health outcomes and care delivery. Future larger studies in this field should address the implementation barriers, including cost-effectiveness and primary care remuneration. It is also crucial to refine application useability and workflow, focusing on standardization and patient-centred approaches.

제주교육학 연구의 방향성 탐색 - ｢아름다운 제주특별자치도｣에 나타난 ‘제주’ 관련 키워드를 중심으로

This study sought to explore the direction of research on ‘Jeju Educational Science’. For this purpose, we derived and analyzed keywords related to ‘Jeju’ that appeared in ‘Beautiful Jeju Special Self-Governing Province’, which is used in schools in Jeju. First, ‘Beautiful Jeju Special Self-Governing Province’ was divided into five periods, six textbooks available for research were selected, and keywords related to ‘Jeju’ were collected. By referring to the collected keyword data and the ‘Jeju’-related keywords in the 1997 textbook(Ko Shintaek, 1998), 1) ‘Jeju’-related major keywords, 2) ‘Jeju’-related keyword changes, 3) ‘Jeju’-related keywords by area Relevant results were derived and analysis was conducted. Based on the analysis results, implications for the direction of research on Jeju Educational Science were suggested. First, basic research that explores the phenomenon of Jeju education must be continuously conducted. Second, Jeju educational science must play the role of selecting the region's unique content as the region's educational content. Third, Jeju educational science must enable localized education to be revitalized by converting Jeju's resources into educational programs and content. This study is meaningful in exploring the direction of research on Jeju Educational Science to explore the uniqueness and identity of Jeju education. In addition, it can be used as basic data for localization of Jeju's localized complementary teaching materials and localized curriculum.

Feature selection before propositionalization of multi-source oil drilling data

Despite recent improvements in collected drilling data quality and volume, the actual number of wells being used in studies remain low and are often limited to a single source and oil field, producing results that are prone to overfitting and are non-transferable. In our study, we access oil drilling data from 5 of more than 20 oil drilling companies collected from 2005 to 2016 from our industrial partner to create well drilling duration models for well planning. This project could lead to the creation of more generalized models from larger datasets than others in literature. However, the data is difficult to process without expert knowledge, further complicated by properties such as unharmonized, source-locked, semantic heterogeneity, sparse and unlabelled. Conventional automated methods for feature selection, propositionalization, multi-source, or block-wise missing techniques could not be used. In this paper, we describe our method to assist the Knowledge Discovery in Databases (KDD) Selection stage of the abovementioned data - Feature Selection before Propositionalization (FSbP) via Database Attribute Health Feature Reduction (DAHFR) and Report Feature Correlation Matrix (RFCM), collectively known as FvDR. DAHFR and RFCM are filter-type feature selection techniques that could measure relational missingness and keyword correlations respectively despite the complexity of multi-source oil drilling data. FvDR successfully reduced the scope from 700 tables containing 20,000 columns to 22 tables containing fewer than 707 columns while successfully selecting 13 of 16 relevant tables suggested by literature. Despite the loss of information from limitations of subsequent KDD procedures, preliminary models show promising results with over half the test predictions falling within the 20% error margin required for well planning. FvDR proves to be indispensable in KDD as a FSbP framework as it reduces features for examination and streamlines the research process necessary to understand business rules for data harmonization and propositionalization.

Revolutionizing Cardiac Imaging: A Scoping Review of Artificial Intelligence in Echocardiography, CTA, and Cardiac MRI.

Cardiac imaging is crucial for diagnosing heart disorders. Methods like X-rays, ultrasounds, CT scans, and MRIs provide detailed anatomical and functional heart images. AI can enhance these imaging techniques with its advanced learning capabilities. In this scoping review, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) Guidelines, we searched PubMed, Scopus, Web of Science, and Google Scholar using related keywords on 16 April 2024. From 3679 articles, we first screened titles and abstracts based on the initial inclusion criteria and then screened the full texts. The authors made the final selections collaboratively. The PRISMA chart shows that 3516 articles were initially selected for evaluation after removing duplicates. Upon reviewing titles, abstracts, and quality, 24 articles were deemed eligible for the review. The findings indicate that AI enhances image quality, speeds up imaging processes, and reduces radiation exposure with sensitivity and specificity comparable to or exceeding those of qualified radiologists or cardiologists. Further research is needed to assess AI's applicability in various types of cardiac imaging, especially in rural hospitals where access to medical doctors is limited. AI improves image quality, reduces human errors and radiation exposure, and can predict cardiac events with acceptable sensitivity and specificity.

Japanese climate capitalism? Toward an understanding of industry’s changing attitudes toward climate change mitigation in Japan

Despite a history of progressive environmental policies in relation to pollution and energy efficiency, Japan stands out as a country with relatively few achievements on the issue of climate change. While research on Japanese climate change policy up until now has focused attention on the role played by government, to date insufficient attention has been paid to the role and impacts of various sectors of Japanese industry in both directly influencing climate change policy and in shaping the discourse surrounding climate change in Japan, as well as to the ways through which the accumulation strategies of different fractions of capital may be impacted by climate change policy. This article overcomes this gap by surveying business responses to climate change and climate change policy through a mixed methods approach that combines content analysis and critical discourse analysis of major firms’ annual corporate reports, comparing data from 2010, the last year prior to the 2011 Great East Japan Earthquake that had highly disruptive impacts on Japan’s power generation capacity as well as the discourse surrounding energy more widely, and 2022, the most recent year for which all firms had data available. The content analysis results indicate a substantial increase in attention to climate change related keywords between 2010 and 2022 across all sectors, but particularly for the oil and gas, electric power, and steel manufacturing sectors. Yet a closer look at some of the detailed comments from key firms indicated an ongoing commitment to continued expansion of output and consumption, with carbon neutrality to be achieved wholly through the application of advanced technologies, many of which are currently commercially or technically unviable, raising questions about many firms’ abilities to effectively achieve their emissions reductions targets without more significant changes to their overall business strategies.

Augmented Reality for Education: A Bibliometric Analysis Using VOSviewer

This review aims to present a comprehensive knowledge mapping and analysis of Augmented Reality in education by conducting bibliometric analysis. This study will provide insight into the scope of research, the most frequently emerging research trends, and other areas in education. The use of AR in education has become an interesting topic for researchers over the past few years, presenting significant progress and transformation in educational technology that can improve students' understanding in the learning process. The data was taken from the Scopus database which discusses the use of Augmented Reality in the field of education and found 1396 journal articles. Based on the results of VOSviewer data processing with the topic of augmented reality in education, 4,2561 keywords were found. and related keywords were limited to 9 keywords. and 103 related keywords were found. Bibliometrics can improve the understanding of augmented reality and provide many contributions by discussing keywords used in the literature and grouping research trends and providing directions for further research.

The Applications of Social Media for Luxury Brand Management — A Narrative Review

Purpose — The emergence of social media and digital technologies has reformed the competitive aspect for firms that quickly acknowledged the increasing relevance of social media platforms for business purposes social media is emerging as an important part of our lives. Luxury brands are gaining popularity as the customers are getting richer. In this paper, we did an extensive review of the research papers to understand the applications of social media for luxury brands management. We also studied the data analysis techniques used in those research papers. Methodology — The papers related to the applications of social media for luxury brand management were collected using related keywords. We searched the papers with the keywords such as “Social media marketing” and “Luxury brands”, “Social media consumer engagement” and “Luxury brands”, “Social media consumer response” and “Luxury brands” and “Social media communication” and “Luxury brands” in Scopus database. Findings — Marketing and customer response are the two main categories of the applications of the social media for luxury brand management. Regarding data analysis techniques, traditional data analysis models such as structural equation modelling, regression, etc. have been used more as compared to data mining, text mining, etc. process. Originality — We propose a new categorisation of different research papers related to applications of social media for luxury brand management. We also did an extensive study of the data analysis techniques to conclude that traditional data analysis models have been mostly used in this research area. The recommendations to social media marketing professionals related to luxury brands have been presented to improve the effectiveness of social media campaigns for luxury brands. We also suggest challenges and future research directions in this area.

Meditation modalities for ADHD in minority pediatric populations in the USA: a scoping review.

Roughly 10% of children aged 3 -17 in the USA are diagnosed with attention-deficit hyperactivity disorder (ADHD), and minorities are less likely to initiate common pharmacologic treatment. We conducted a review of the literature to examine meditation as a safe, effective, and low-cost alternative. We searched PubMed and other journals using "meditation," "mindfulness," "minority," related keywords, and relevant MeSH terms. Eligible studies involved racial/ethnic minorities in the USA, reported quantitative psychosocial outcomes, and were published in a peer-reviewed, English-language journal. Out of 119 "hits," 111 were eliminated as duplicates or were not relevant. A full-text review of the remaining eight revealed that none fully met our eligibility criteria. Besides the obvious lack of studies, those reviewed reported incomplete demographic and clinical data. They also employed different and inconsistent research methodologies, interventions and modalities, and statistical analyses. This hindered understanding exactly which populations may benefit from meditation, and for which specific symptoms. We recommend a socio-ecological model in examining intervention modalities, especially in the context of intrapersonal, interpersonal, organizational, environmental, and policy domains. We also suggest the possible inclusion of research older than 10 years, conducted outside of the USA, on minority and non-minority populations, for supplementary and confirmatory data. We advocate for consistency in study design and data collection, which would help align research conducted in different countries. Searches should also include variations of meditation such as "mindfulness" and "guided imagery," and associated symptoms and comorbidities of ADHD, including "learning disorder" and "behavioral problems."

Possibilities and Limitations of Biodegradable Plastics

This study examined societal interest in biodegradable plastics as portrayed in South Korean media, analyzing trends, topics, and related keywords to understand public perceptions and discourse. Big data analysis was conducted on news articles from 104 major South Korean media outlets between 2014 and 2023 using the BIGKinds platform. The frequency of articles mentioning biodegradable plastics and related keywords were analyzed. A total of 4,403 articles were identified, with a peak in coverage in 2021 followed by a slight decline. Keyword analysis revealed a focus on "eco-friendly" materials like PHA and PLA, and concepts like recycling and commercialization. Media attention toward biodegradable plastics significantly increased, reflecting growing public awareness of sustainable alternatives to conventional plastics. However, challenges such as degradation conditions, waste management integration, and economic feasibility require further attention.

TCohPrompt: task-coherent prompt-oriented fine-tuning for relation extraction

Prompt-tuning has emerged as a promising approach for improving the performance of classification tasks by converting them into masked language modeling problems through the insertion of text templates. Despite its considerable success, applying this approach to relation extraction is challenging. Predicting the relation, often expressed as a specific word or phrase between two entities, usually requires creating mappings from these terms to an existing lexicon and introducing extra learnable parameters. This can lead to a decrease in coherence between the pre-training task and fine-tuning. To address this issue, we propose a novel method for prompt-tuning in relation extraction, aiming to enhance the coherence between fine-tuning and pre-training tasks. Specifically, we avoid the need for a suitable relation word by converting the relation into relational semantic keywords, which are representative phrases that encapsulate the essence of the relation. Moreover, we employ a composite loss function that optimizes the model at both token and relation levels. Our approach incorporates the masked language modeling (MLM) loss and the entity pair constraint loss for predicted tokens. For relation level optimization, we use both the cross-entropy loss and TransE. Extensive experimental results on four datasets demonstrate that our method significantly improves performance in relation extraction tasks. The results show an average improvement of approximately 1.6 points in F1 metrics compared to the current state-of-the-art model. Codes are released at https://github.com/12138yx/TCohPrompt.

Analisis Media Monitoring dan Jaringan Program Lapak Ganjar untuk Mendukung Pemasaran Digital bagi UMKM

Lapak Ganjar is a program launched by the Governor of Central Java Ganjar Pranowo since July 2020 to help promote commodities for Central Java MSMEs, especially when facing economic challenges during the ongoing Covid-19 pandemic, via Instagram @lapak_ganjar. This program is developing to support digital marketing for MSMEs, not only MSMEs in Central Java, but also MSMEs in several other provinces. This research aims to describe the analysis of media monitoring and network of the Lapak Ganjar program to support digital marketing for MSMEs. Several relevant concepts are used in this research, including the concepts of digital marketing and electronic word of mouth (e-WOM). This type of research is quantitative descriptive with media monitoring and network analysis methods using brand24 and netlytic. Media monitoring analysis was carried out in the period June to July 2022. The results of media monitoring analysis via brand24 in that period revealed that the Lapak Ganjar program received positive sentiment from netizens, while Twitter analysis using Netlytic in June to July 2022 found a total of 2,013 tweets mentioning the word Lapak Ganjar with some relevant related keywords. Network analysis via Netlytic also displays cluster 1 which refers to the account most frequently referred to, namely the ganjaranapps account.