Trust Network Research Articles

Account credibility inference based on news-sharing networks

The spread of misinformation poses a threat to the social media ecosystem. Effective countermeasures to mitigate this threat require that social media platforms be able to accurately detect low-credibility accounts even before the content they share can be classified as misinformation. Here we present methods to infer account credibility from information diffusion patterns, in particular leveraging two networks: the reshare network, capturing an account’s trust in other accounts, and the bipartite account-source network, capturing an account’s trust in media sources. We extend network centrality measures and graph embedding techniques, systematically comparing these algorithms on data from diverse contexts and social media platforms. We demonstrate that both kinds of trust networks provide useful signals for estimating account credibility. Some of the proposed methods yield high accuracy, providing promising solutions to promote the dissemination of reliable information in online communities. Two kinds of homophily emerge from our results: accounts tend to have similar credibility if they reshare each other’s content or share content from similar sources. Our methodology invites further investigation into the relationship between accounts and news sources to better characterize misinformation spreaders.

Enhanced Zero Trust Implementation - A Novel Approach for Effective Network Policy Management and Compliance Tracking

Abstract: The Zero Trust network architecture is an embodiment of the Zero Trust security model, and is progressively being utilized for the improvement of security standards of the current security infrastructures. Fine-grained access control is one of the primary principles of developing zero trust solutions, in which it is expected to manage an overwhelming amount of security policies. Managing the compliance of policies at fine grain level is thus necessary for utmost security stature. This paper aims at developing a novel approach to improve the task of policy management workflow and compliance tracking

HUBUNGAN MODAL SOSIAL PETANI DENGAN KEBERLANJUTAN USAHATANI PADI SAWAH DI DESA WAWOURU KECAMATAN PALANGGA KABUPATEN KONAWE SELATAN

The objective of this study was to evaluate the level of social capital among rice paddy farmers in Wawouru Village and to determine the sustainability of wet-rice farming in the area. The study population consisted of 25 farmers, and the research sample was determined using the census method. A quantitative approach was employed to conduct the research. The data collection techniques used in this study included interviews, recordings, and documentation methods, utilizing media in the form of questionnaires. The data were analyzed using descriptive analysis with the class interval formula and Spearman rank correlation analysis, with the help of SPSS software version 16. The results showed that the social capital owned by wet-rice farmers in Wawouru Village consisted of aspects of trust, norms, and social networks, each of which was in the high category. The sustainability of wet-rice farming in Wawouru Village is high, as reflected in the social, technological, and institutional dimensions. The relationship between social capital and the sustainability of wet-rice farming in Wawouru Village is positive and significant, with a relationship strength of 68.9%, indicating a close relationship.

Reciprocity and Social Capital for Sustainable Rural Development

This study investigates the influence of human intellectual and social capital on the reciprocity (mutual exchange) between non-tourist populations and actors in the Kampung Coklat tourism of Plosorejo village, Indonesia. The existence of a sense of trust, mutual respect, and social networks between communities are important values in the dimension of social capital and form interchange between communities. The question in this research is whether interpersonal trust has a beneficial impact on relationship social capital and whether the existence of trust, social networks, and social norms has a beneficial impact on community reciprocity. The findings indicate that social capital is pivotal in advancing cocoa tourism, especially for individuals not directly involved in the tourism industry.

Facets of Trust and Distrust in Collaborative Robots at the Workplace: Towards a Multidimensional and Relational Conceptualisation

The relevance of trust on the road to successful human-robot interaction is widely acknowledged. Thereby, trust is commonly understood as a monolithic concept characterising dyadic relations between a human and a robot. However, this conceptualisation seems oversimplified and neglects the specific interaction context. In a multidisciplinary approach, this conceptual analysis synthesizes sociological notions of trust and distrust, psychological trust models, and ideas of philosophers of technology in order to pave the way for a multidimensional, relational and context-sensitive conceptualisation of human-robot trust and distrust. In this vein, trust is characterised functionally as a mechanism to cope with environmental complexity when dealing with ambiguously perceived hybrid robots such as collaborative robots, which enable human-robot interactions without physical separation in the workplace context. Common definitions of trust in the HRI context emphasise that trust is based on concrete expectations regarding individual goals. Therefore, I propose a three-dimensional notion of trust that binds trust to a reference object and accounts for various coexisting goals at the workplace. Furthermore, the assumption that robots represent trustees in a narrower sense is challenged by unfolding influential relational networks of trust within the organisational context. In terms of practical implications, trust is distinguished from acceptance and actual technology usage, which may be promoted by trust, but are strongly influenced by contextual moderating factors. In addition, theoretical arguments for considering distrust not only as the opposite of trust, but as an alternative and coexisting complexity reduction mechanism are outlined. Finally, the article presents key conclusions and future research avenues.

The effect of social network structure on group anchoring bias

Decisions—whether made by individuals or groups—often involve estimating quantities, a process that is subject to anchoring bias (Tversky and Kahneman in Science 185: 1124–1131, 1974). Differences in susceptibility to anchoring bias between individuals and groups have been recently explored with the result that groups appear less biased than individuals (Meub and Proeger in Theor Decis 85:117–150, 2018). However, existing studies treat groups monolithically without taking into account their network structure—the pattern of relationships among members. The present paper investigates the effects of group social network structure on anchoring bias. Using a structured survey instrument, we gathered data on competence-based trust relationships among 264 students enrolled in a university degree program. An anchoring experiment was conducted in which some of the students made estimates as individuals, while others did so in groups of different structures. The findings provide initial evidence of differences in bias levels across variously structured groups as well as relative to individuals. Groups with highly centralized trust networks (where a single person owned everyone’s trust) showed more anchoring bias than dense groups (where everyone trusted everyone else) and sparse groups (where no one trusted any other member of the group) showed more bias than dense groups. In addition, despite previous research demonstrating groups are less susceptible than individuals to anchoring bias, this study shows a higher presence of bias in both our centralized groups and sparse groups when compared to individuals, suggesting that group structure might moderate the mitigating effect of groups on anchoring bias. The research has implications for organizational behavior and social network literature. Specifically, this study contributes to the debate on anchoring bias for group decisions by highlighting the significant role of social network structure. At the same time, it contributes to the literature on network structure and performance by providing initial evidence of how network structure affects anchoring bias susceptibility. Moreover, our study contributes to management practice by alerting managers to the dangers of centralized networks, suggesting that competence-based trust plays a vital role in the resistance to anchoring bias.

An Advanced Encryption Algorithm for Enhancing Data Security in Cloud Computing

Aim: Cloud computing (CC) is a revolutionary new archetype in which users pool their computing resources to provide greater efficiency for everyone. Data become increasingly vulnerable to diverse security threats from attackers when millions of users circulate the same network for data transmission. Protecting these reports has shifted to the vanguard of priorities. The existing data security approach prioritizes protecting data at rest in cloud storage but gives less thought to protecting data in transit. During transmission, the data are vulnerable to intrusion attempts. Methodology: The third-party auditor is provided access to data during the transfer phase, which is also the current pattern. As the attacker can now pose as a trusted third party, it makes the data more susceptible to unauthorized access. However, growing concerns regarding data privacy and security have made outsourcing sensitive information to faraway data centers difficult. As a result, new security concerns in the cloud necessitate an improved version of the tried-and-true advanced encryption standard (AES) algorithm. Key aspects presented in this study include a secure and private framework for owner data. It improves upon the 128 AES technique by adding a second round of encryption using a different key, allowing for a throughput of 1000 blocks per second. However, the standard method uses a single round key and only 800 blocks per second. The suggested approach reduces energy consumption, improves load distribution, and optimizes network trust and resource management. objective: The third-party auditor is also provided access to data during the transfer phase, as is the current pattern. Because the attacker can now pose as a trusted third party, this also makes the data more susceptible to unauthorized access. However, growing concerns about data privacy and security make outsourcing sensitive information to faraway data centers difficult. Results: The proposed architecture allows for the use of AES with cipher lengths of 16, 32, 64, and 128 bytes. The effectiveness of the algorithm in terms of attaining target quality metrics is illustrated graphically via simulation results. This strategy reduces power consumption by 13.23%, network utilization by 12.43%, and delay by 16.53%, according to the outcomes. method: As a result, new security concerns in the cloud necessitate an improved version of the tried-and-true advanced encryption standard (AES) algorithm. Key aspects presented in this study include a secure and private framework for owner data. It improves upon the 128 AES technique by adding a second round of encryption using a different key, allowing for a throughput of 1000 blocks per second. However, the standard method uses a single round key and only 800 blocks per second. The suggested approach reduces energy consumption, improves load distribution, and optimizes network trust and resource management. Conclusion: As a result, the recommended architecture enhances safety, cuts down on wasted resources, and speeds up the rollout of computational cloud services.

A negotiation protocol with recommendation for multilateral negotiation in trust networks

Negotiation protocols are crucial in automated negotiation since they establish the rules that govern the negotiation process. Multilateral negotiations, i.e., those involving a higher number of participants, are typically more complex than bilateral negotiations and often suffer from issues such as excessive time consumption or a lack of fairness. Some protocols have been developed to address these issues by reducing the complexity of multilateral negotiations: for instance, introducing a mediator to make negotiations more effective. However, many existing approaches overlook the crucial aspect of trust relationships between agents, even though trust significantly influences their actions. To this end, we propose a mediator-based multilateral negotiation protocol that can fully utilize trust networks among negotiating agents and strike a balance between fairness and efficiency. The mediator employs a recommendation mechanism based on a trust network to conduct negotiation, thus leading the negotiation toward the expected outcomes. This recommendation mechanism demonstrates a high efficiency gains under various scenarios where agents use different time-based concede strategies.

A novel incomplete hesitant fuzzy information supplement and clustering method for large-scale group decision-making.

Clustering is an effective means to reduce the scaling of large-scale group decision-making (LSGDM). However, there are many problems with clustering methods, such as incomplete or ambiguous information usually provided by different decision makers. Traditional clustering methods may not be able to handle these situations effectively, resulting in incomplete decision-making information. Calculating the clustering centers may become very complex and time-consuming. Inappropriate distance weights may also lead to incorrect cluster assignments, and these problems will seriously affect the clustering results. This research provides a novel incomplete hesitant fuzzy information supplement and clustering approach for large-scale group decision-making in order to address the aforementioned difficulties. First, the approach takes into account the trust degradation and the inhibition of relationships of distrust in the process of trust propagation, and then it builds a global and local network of trust. A novel supplemental formula is provided that takes into account the decision-preference maker's as well as the trust-neighbor's information, allowing the decision-neighbor maker's recommendation to be realized. Therefore, an improved distance function can be proposed to calculate the weights by combining the relative standard deviation theory and selecting the selected clustering centers by using the density peaks in order to optimize the selection of clustering centers and reduce the complexity and scaling of the decision. Finally, an example is presented to demonstrate how the proposed method can be applied. The consistency index and comparison experiments are used to evaluate if the suggested approach is effective and reliable.

Large-scale consensus with dynamic trust and optimal reference in social network under incomplete probabilistic linguistic circumstance

Consensus plays a pivotal role in large-scale group decision-making, and the social network relationship significantly impacts the consensus reaching process (CRP). Consequently, there is considerable focus on achieving large-scale consensus within social network (LSC-SN). Typically, experts are used to expressing their evaluations with language that can be effectively characterized by probabilistic linguistic term set (PLTS). However, the existing distance measure of PLTS exhibits drawbacks, and PLTSs provided by experts might be incomplete. To address the two challenges, this research defines an improved distance measure and proposes an estimation method for incomplete PLTS from the perspectives of trust relationships, collaborative filtering, and confidence level. Subsequently, in the CRP, a hierarchical clustering algorithm based on the trust-similarity measure is developed to cluster experts who share mutual trust and similar evaluations. Then, a consensus model employing dynamic trust and optimal reference is introduced to achieve both intra-cluster and inter-cluster consensus simultaneously. Finally, to illustrate the feasibility and advantage of the proposed model, a numerical experiment and the comparative analyses are conducted.

Zero Trust Security Model for Enterprise Networks

Zero Trust (ZT) is security model and follow the concept of ânever trust, always verifyâ. ZT require to strict identity verification for devise and clients trying to access recourses on private networks regardless of whether they are sitting within or outside the networks. As opposed to perimeter-based architecture, which makes the assumption that all internal network parties are trusted and all external network parties are untrusted. In enterprise network the internal network parties is automatically seen as trusted entities granting them access to network resources. The insider threat actor has been successful in exploiting their access. So that, enterprise networks become more exposed to inside and outside threads. As a result, we need to add the zero-trust principle to the enterprise network to protect it from the inside. In this paper, the ZT model, is assumed inside the militarized zone. There may be a threat to the sensitive data. Any internal company network users cannot manipulation on his computer without permission from the administrator this is done by the group policies that have been implemented in ZT. This model has been shown to be quite effective in protecting the sensitive data against unauthorized access and also the manipulation by the insider user. Following that, an attack originating from inside of the network was launched against the enterprise and zero trust network. In the enterprise network, the network was effectively attacked, and the attack’s validity was also increased to fully penetrate the enterprise. The attack did not succeed in the zero-trust network because the attacker cannot pass the User Account Control (UAC) to gain the NT authority.

BRIDGING THE GAP: A SEQUENTIAL MIXED-METHODS STUDY OF TRUST NETWORKS IN GRADUATE APPLICATION, ADMISSIONS, AND ENROLLMENT

Undergraduate education in the U.S. is racially/ethnically stratified, and there is limited mobility for Black and Latinx BS recipients in STEM majors into the PhD programs from which faculty hiring disproportionately occurs. Bridge programs are proliferating as a means of increasing minoritized students' enrollment in STEM graduate programs, but little social science examines mechanisms of their impact or how impacts depend on the graduate programs to which students seek access. This sequential mixed-methods study of the Cal-Bridge program analyzed trust networks and mechanisms of relational trust as factors in graduate school application, admissions, and enrollment decisions. First, using social network analysis, we examined patterns in the graduate programs to which seven cohorts of Cal-Bridge scholars applied, were admitted, and chose to enroll. Then, we conducted an in-depth case study of the organization in the Cal-Bridge network with the highest centrality: University of California, Irvine's physics and astronomy PhD program. We find the positive admission and enrollment outcomes at UC Irvine were due to intentional, institutional change at multiple organizational levels. Change efforts complemented the activities of the Cal-Bridge program, creating conditions that cultivated lived experiences of mutual, relational trust between bridge scholars and their faculty advisors and mentors. Findings illustrate mechanisms and antecedents of trust in the transition to graduate education. We use these findings to propose a framework that may inform the design of future research and practical efforts to account for the role of trust in inequities and creating more equitable cultures in STEM.

Personalized Tourism Recommendations: Leveraging User Preferences and Trust Network

Personalized Tourism Recommendations: Leveraging User Preferences and Trust Network

A Survey on Blockchain Technology in Communication Protocols

Offering decentralized and secure solutions to age-old problems. In the realm of communication protocols,where Blockchain technology has emerged as a disruptive force across various industries, trust, security, and transparency are paramount, blockchain holds immense promise. This paper delves into the integration of blockchain technology into communication protocols, exploring its potential impact, challenges, and future directions. The paper begins by elucidating the fundamental concepts of blockchain technology, emphasizing its decentralized nature,cryptographic security, and immutable ledger. It then delineates the significance of communication protocols in facilitating data exchange, highlighting the need for robust mechanisms to ensure confidentiality, integrity, and authenticity. Subsequently, the paper examines how blockchain technology can augment existing communication protocols by introducing decentralized consensus mechanisms, enhancing data integrity through cryptographic hashing,and fortifying security through encryption techniques. It elucidates how blockchain-enabled communication protocols can mitigate single points of failure, resist tampering, and provide transparent audit trails, thereby fostering trust in communication networks. Furthermore, the paper discusses various applications of blockchain technology in communication protocols, ranging from secure messaging platforms and decentralized social networks to verifiable data transmission and digital identity management. It explores the potential of blockchain to revolutionize peer-to-peer communication, enabling direct interaction without intermediaries while preserving privacy and security. Moreover, the paper addresses the challenges and limitations associated with integrating blockchain into communication protocols,including scalability concerns, latency issues, and regulatory hurdles. It underscores the need for ongoing research and development to overcome these obstacles and realize the full potential of blockchain technology in communication networks. Finally, the paper concludes by envisioning future trends and advancements in blockchain-enabled communication protocols, such as the integration of artificial intelligence for dynamic routing and optimization, the emergence of interoperable blockchain standards for seamless intefgration across diverse networks, and the proliferation of decentralized autonomous communication systems. In summary, this paper provides a comprehensive overview of the integration of blockchain technology into communication protocols, highlighting its transformative potential, challenges,and future prospects. It underscores the importance of continued innovation and collaboration to harness the full benefits of blockchain in shaping the future of communication networks.

A Survey on Blockchain Technology in Communication Protocols

Offering decentralized and secure solutions to age-old problems. In the realm of communication protocols, where Blockchain technology has emerged as a disruptive force across various industries, trust, security, and transparency are paramount, blockchain holds immense promise. This paper delves into the integration of blockchain technology into communication protocols, exploring its potential impact, challenges, and future directions. The paper begins by elucidating the fundamental concepts of blockchain technology, emphasizing its decentralized nature, cryptographic security, and immutable ledger. It then delineates the significance of communication protocols in facilitating data exchange, highlighting the need for robust mechanisms to ensure confidentiality, integrity, and authenticity. Subsequently, the paper examines how blockchain technology can augment existing communication protocols by introducing decentralized consensus mechanisms, enhancing data integrity through cryptographic hashing, and fortifying security through encryption techniques. It elucidates how blockchain-enabled communication protocols can mitigate single points of failure, resist tampering, and provide transparent audit trails, thereby fostering trust in communication networks. Furthermore, the paper discusses various applications of blockchain technology in communication protocols, ranging from secure messaging platforms and decentralized social networks to verifiable data transmission and digital identity management. It explores the potential of blockchain to revolutionize peer-to-peer communication, enabling direct interaction without intermediaries while preserving privacy and security. Moreover, the paper addresses the challenges and limitations associated with integrating blockchain into communication protocols, including scalability concerns, latency issues, and regulatory hurdles. It underscores the need for ongoing research and development to overcome these obstacles and realize the full potential of blockchain technology in communication networks. Finally, the paper concludes by envisioning future trends and advancements in blockchain-enabled communication protocols, such as the integration of artificial intelligence for dynamic routing and optimization, the emergence of interoperable blockchain standards for seamless intefgration across diverse networks, and the proliferation of decentralized autonomous communication systems. In summary, this paper provides a comprehensive overview of the integration of blockchain technology into communication protocols, highlighting its transformative potential, challenges, and future prospects. It underscores the importance of continued innovation and collaboration to harness the full benefits of blockchain in shaping the future of communication networks.

Trust and reputation systems for production networks

Trust and reputation in production networks are of increasing importance, both from theoretical and practical points of view. One can find some case studies considering trustfulness in different areas such as supply chains, cloud, distributed and platform-based manufacturing as well – but considering trustfulness is not yet widespread in this field. The aim of the paper is twofold: first, to provide an overview about trust and reputation systems (TRSs) including definitions, classification of systems, rankings, challenges attack types, defense mechanisms and case studies. Second, to compose a requirement list – based on challenges found in the literature and consequences drawn – towards a TRS that can be used between production companies and supply chain members and is able to face the issues found in the scientific papers and introduced by the authors.

Integrity 2024: Integrity in Social Networks and Media

Integrity 2024 is the fifth edition of the Workshop on Integrity in Social Networks and Media, held in conjunction with the ACM Conference on Web Search and Data Mining (WSDM) since the 2020 edition. The goal of the workshop is to bring together academic and industry researchers working on integrity, fairness, trust and safety in social networks to discuss the most pressing risks and cutting-edge technologies to reliably measure and mitigate them. The event consists of invited talks from academic experts and industry leaders as well as peer-reviewed papers and posters through an open call-for-papers. The workshop will take place on March 8th, 2024, in Mérida, Yucatán, Mexico. Call for papers and further information can be found in http://integrity-workshop.org.

Increasing supply network resilience by collaborative negotiation protocols

A necessary prerequisite in establishing agreements within a network of suppliers and customers is a negotiation process. Network parties seek a compromise and agreement about costs and pricing acceptable to each of them, respectively. Price negotiation processes are necessary for supply networks’ success; hidden information, however, is a common challenge during such negotiations. A new collaborative negotiation method, not addressed by previous research, is designed to mitigate the impact of the hidden information in supply networks and foster mutual trust among parties. The proposed method incents and motivates the sharing of information, about the supplier’s operation costs, by weighting the operations costs and the estimated profit within the auction bids during negotiations. This paper lays the groundwork for creating an agent-based collaborative negotiation protocol. The proposed collaborative negotiation approach results indicate overall savings and significant benefits for the collaborating bidding parties, consequently increasing trust and supply network resilience. The proposed protocol could support decision-makers in establishing a long-lasting, resilient collaborative supply network of benevolent parties.

Refined push method of marketing data based on social trust network

Refined push method of marketing data based on social trust network

PROMISE: A Programmable Hardware Monitor for Secure Execution in Zero Trust Networks

PROMISE: A Programmable Hardware Monitor for Secure Execution in Zero Trust Networks