Theater of Triumph and Transgression: ­Religious Discourse on Hospitality/­Hostility in the Viral Communication during the Pandemic by Leonard Chrysostomos Epafras, Hendrikus Paulus Kaunang, Jekonia Tarigan, David Akbar Hasyemi Rafsanjani

“…The research employs Social Network Analysis (SNA) and Social Media Analysis to explore and visualize viral communication on Twitter, Facebook, and Instagram. …”
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University Network Capital as an Element of the City’s Social Capital by R. A. Zayakina

“…Thus, being the holder of intellectual resources and a network of interpersonal connections, the university produces the effective ways to expand the city’s social capital, firstly, through a unique social network organization capable of rapid mobilization. …”
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Exploring socioeconomic concerns in Italian social media discourse on migration: A sentiment analysis of X posts by Indelicato Alessandro, Martín Juan Carlos, Di Rocco Rossella Maria Pia, Marinello Vincenzo

“…The current study utilized sentiment analysis, a method widely used in social media research, to delve into public sentiment in social network comments related to immigration, specifically focusing on Italy. …”
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From vulnerable to resilience: an assessment of small-scale fisheries livelihood in South Malang of Indonesia by Puji Handayati, Ahmad Munjin Nasih, Indah Susilowati, Idris, Prateep Kumar Nayak, Bagus Shandy Narmaditya

“…The findings indicate that two main components (livelihood strategy and climate variability and natural disaster) were included in high vulnerability, while another two main components (sociodemographic and social network) were categorized as moderate vulnerability. …”
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Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections by Juan Fernández-Gracia, Lucas Lacasa

“…We present a social network and forensic analysis of the vote counts of Spanish national elections that took place in December 2015 and their sequel in June 2016. …”
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A Data Mining-Based Model for Evaluating Tennis Players’ Training Movements by Hang Chen

“…This paper aims to conduct a systematic theoretical analysis of tennis players’ training movements based on theories and methods such as system science theory and social network analysis. On this basis, the characteristics of tennis training technology development are analyzed from a combination of qualitative and quantitative perspectives, while the development of tennis player training is explored based on tracking observations of tennis player movement training, and finally, the attack and service characteristics of tennis training are analyzed to better provide some reference for the sustainable development of tennis.…”
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Theorising unconventional climate advocates and their relationship to the environmental movement by R. M. Colvin, Robyn E. Gulliver, Xiongzhi Wang, Ajay Adhikari, Sarah J. Boddington, Kelly S. Fielding, Winnifred R. Louis

“…In this paper we theorise ‘unconventional climate advocates’ as those who combine advocacy for climate action with a social identity that departs from the prototypical environmentalist identity. Using social network analysis we show that unconventional climate advocates in Australia are peripheral to the main environmental movement, that is, the conventional advocates for climate action. …”
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Chemical signals and social structures strengthen sexual isolation in Drosophila pseudoobscura by Jacob A. Jezovit, Joel D. Levine

“…In Drosophila, behavioural and physiological traits discourage heterospecific mating between species. Recently, social network analysis revealed flies produce strain-specific and species-specific social structures. …”
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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…Additionally, TuGraph demonstrates superior performance in the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB) interactive benchmark.…”
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Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa, Guillem Rodriguez Corominas

“…The resulting hybrid method, tested in the context of a social network-based combinatorial optimization problem, outperforms existing state-of-the-art approaches that combine machine learning with MHs regarding the obtained solution quality. …”
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A User Authentication Scheme Using Physiological and Behavioral Biometrics for Multitouch Devices by Chorng-Shiuh Koong, Tzu-I Yang, Chien-Chao Tseng

“…Besides, it also helps us get connected with friends and business partners through social network applications, which were widely used as personal identifications in both real and virtual societies. …”
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The Complex Impact of Relational Embeddedness on Enterprise Value: The Moderating Effect of Environmental Dynamics by Hui Zhang

“…Based on social network theory and dynamic capability theory, a theoretical model is constructed that specifies the process through which relational embeddedness affects enterprise value. …”
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Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation by Asad Masood Khattak, Rabia Batool, Fahad Ahmed Satti, Jamil Hussain, Wajahat Ali Khan, Adil Mehmood Khan, Bashir Hayat

“…Mining social network data and developing user profile from unstructured and informal data are a challenging task. …”
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“Digital Twins” in Education: Prospects and Reality by V. V. Vikhman, M. V. Romm

“…The focus of the discussion is not so much on digital innovations and transformations in education as such, but rather on the need to understand the possible prospects and results of these social network changes and modifications brought to life by the next stage of the digital revolution in education. …”
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Sarcasm detection method based on fusion of text semantics and social behavior information by Zhaoyang FU, Zhikai CHEN, Li PAN

“…Sarcasm is a complex implicit emotion that poses a significant challenge in sentiment analysis, particularly in social network sentiment analysis.Effective sarcasm detection holds immense practical significance in the analysis of network public opinion.The contradictory nature of sarcastic texts, which exhibit implicit semantics opposite to the real emotions of users, often leads to misclassification by traditional sentiment analysis methods.Moreover, sarcasm in daily communication is often conveyed through non-textual cues such as intonation and demeanor.Consequently, sarcasm detection methods solely relying on text semantics fail to incorporate non-textual information, thereby limiting their effectiveness.To leverage the power of text semantics and social behavior information, a sarcasm text detection method based on heterogeneous graph information fusion was proposed.The approach involved the construction of a heterogeneous information network encompassing users, texts, and emotional words.A graph neural network model was then designed to handle the representations of the heterogeneous graph.The model employed a dual-channel attention mechanism to extract social behavior information, captured the deep semantics of text through emotional subgraphs, and ultimately combined text semantics and social behavior information.Extensive experiments conducted on the Twitter dataset demonstrate the superiority of the proposed method over existing approaches for sarcasm text detection and classification.…”
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Storm-based distributed sampling system for multi-source stream environment by Wonhyeong Cho, Myeong-Seon Gil, Mi-Jung Choi, Yang-Sae Moon

“…As a large amount of data streams occur rapidly in many recent applications such as social network service, Internet of Things, and smart factory, sampling techniques have attracted many attentions to handle such data streams efficiently. …”
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Interpretative Phenomenological Analysis (IPA) for Journalism Studies: Making Sense of Journalists’ Sense-Making of Digital Disruptions by Amira Firdaus, Iffat Ali Aksar, Jiankun Gong, Muhammad Zaiamri Zainal Abidin, Haroon ur Rasheed Baloch, Edward Gomez

“…By analyzing in-depth interviews with journalists at the cusps of two epochal ages of digital disruption in journalism—the rise of user-generated content (UGC) and social network sites around 2010, and the current explosion of generative AI—we show how IPA can serve as a powerful approach for journalism researchers. …”
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A bibliometric analysis of food security and urbanization: insights and implications by Yujun Wei, Yujun Wei, Xiaokun Wei, Zhonghua Ye, Jie Fan

“…Using statistical analysis, co-word analysis, and social network analysis, we map the intellectual landscape and global collaboration networks in FSU research. …”
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No More Myth: Unveiling the Knowledge-Based Customer Value Co-Creation Prototype of SME Hotels by Kornthong Tesprasit, Mongkolchai Wiriyapinit, Uthai Tanlamai, Krerk Piromsopa

“…This study aims to identify the factors affecting customer value creation of SME hotels and links customer needs with hotel operators and local communities. 415 completed survey respondents from an initial screening of 655 active social network accounts who have been SME hotel customers in the past 12 months account for a 63.4% response rate. …”
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FedEx and UPS Network Structure and Accessibility Analysis Based on Complex Network Theory by Changsong Zhao, Chunliang Xiu, Guanyi Yu

“…In conjunction with the division of US regions from the United States Geological Survey (USGS), this paper refers to FedEx and UPS as FEPS and analyzes its topological structure, complexity properties, and air cargo accessibility by using social network analysis (SNA) and accessibility evaluation methods. …”
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