Self-organizing peer-to-peer social networks

This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2008 The Authors.Peer-to-peer (P2P) systems provide a new solution to distributed information and resource sharing because of its outstanding properties in decentralization, dynamics, flexibility, autonomy, and cooperation, summarized as DDFAC in this paper. After a detailed analysis of the current P2P literature, this paper suggests to better exploit peer social relationships and peer autonomy to achieve efficient P2P structure design. Accordingly, this paper proposes Self-organizing peer-to-peer social networks (SoPPSoNs) to self-organize distributed peers in a decentralized way, in which neuron-like agents following extended Hebbian rules found in the brain activity represent peers to discover useful peer connections. The self-organized networks capture social associations of peers in resource sharing, and hence are called P2P social networks. SoPPSoNs have improved search speed and success rate as peer social networks are correctly formed. This has been verified through tests on real data collected from the Gnutella system. Analysis on the Gnutella data has verified that social associations of peers in reality are directed, asymmetric and weighted, validating the design of SoPPSoN. The tests presented in this paper have also evaluated the scalability of SoPPSoN, its performance under varied initial network connectivity and the effects of different learning rules.National Natural Science of Foundation of Chin

Cognitive load and knowledge sharing in Learning Networks

Learning Networks are online social networks designed to support non-formal learning; they are therefore particularly suitable for self-directed learners. In Learning Networks, learners need to acquire knowledge through knowledge sharing with other participants. However, without a support structure, learners have to organize knowledge sharing themselves and this could induce extraneous cognitive load. When working on complex learning tasks, this organizing process could have a detrimental effect on knowledge acquisition. To optimize cognitive load, we propose to use a particular type of collaborative learning, peer tutoring, as a support structure. Its mechanisms reduce, we argue, the extraneous load imposed by organizing knowledge sharing as well as induce germane load by directing the freed cognitive capacity to processes that contribute to knowledge acquisition

Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS

Structural relations established among agents influence the performance of decentralized service discovery process in multiagent systems. Moreover, distributed systems should be able to adapt their structural relations to changes in environmental conditions. In this article, we present a service-oriented multiagent systems, where agents initially self-organize their structural relations based on the similarity of their services. During the service discovery process, agents integrate a mechanism that facilitates the self-organization of their structural relations to adapt the structure of the system to the service demand. This mechanism facilitates the task of decentralized service discovery and improves its performance. Each agent has local knowledge about its direct neighbors and the queries received during discovery processes. With this information, an agent is able to analyze its structural relations and decide when it is more appropriate to modify its direct neighbors and select the most suitable acquaintances to replace them. The experimental evaluation shows how this self-organization mechanism improves the overall performance of the service discovery process in the system when the service demand changesThis work is partially supported by the Spanish Ministry of Science and Innovation through grants CSD2007-0022 (CONSOLIDER-INGENIO 2010), TIN2012-36586-C03-01, TIN2012-36586-C03-01, TIN2012-36586-C03-02, PROMETEOII/2013/019, and FPU grant AP-2008-00601 awarded to E. Del Val.Del Val Noguera, E.; Rebollo Pedruelo, M.; Vasirani, M.; Fernández, A. (2014). Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS. ACM Transactions on Autonomous and Adaptive Systems. 9(3):1-24. https://doi.org/10.1145/2651423S12493Sherief Abdallah and Victor Lesser. 2007. 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Grassroots Humanitarianism on YouTube : Ordinary fundraisers, unlikely donors and global solidarity

Social media have become important channels for directing humanitarian communication. Aid organizations increasingly use social networks and simultaneously we have seen the emergence of self-organizing volunteers who take on a variety of humanitarian tasks that previously belonged to institutional agents. The focus of this study is on user-created disaster appeal videos on YouTube, which are a type of citizen communication that occurs in the aftermath of a disaster. Appeal videos aim to raise funds for the disaster victims by acting as intermediaries between humanitarian organizations and the public. The study explores how these appeals try to create solidarity with the plight of disaster victims, and how viewers respond to these appeals from ordinary humanitarians. The article argues that this peer-to-peer moral education may help to get round the distrust of humanitarian organizations and may also be able to cultivate the idea of global solidarity within the everyday lives of YouTube viewers.Peer reviewe

PicShark: mitigating metadata scarcity through large-scale P2P collaboration

With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather than data production is the main bottleneck. Metadata scarcity represents a major obstacle preventing efficient information processing in large and heterogeneous communities. However, social communities also open the door to new possibilities for addressing local metadata scarcity by taking advantage of global collections of resources. We propose to tackle the lack of metadata in large-scale distributed systems through a collaborative process leveraging on both content and metadata. We develop a community-based and self-organizing system called PicShark in which information entropy—in terms of missing metadata—is gradually alleviated through decentralized instance and schema matching. Our approach focuses on semi-structured metadata and confines computationally expensive operations to the edge of the network, while keeping distributed operations as simple as possible to ensure scalability. PicShark builds on structured Peer-to-Peer networks for distributed look-up operations, but extends the application of self-organization principles to the propagation of metadata and the creation of schema mappings. We demonstrate the practical applicability of our method in an image sharing scenario and provide experimental evidences illustrating the validity of our approac

Do narcissism and emotional intelligence win us friends? Modeling dynamics of peer popularity using inferential network analysis

This research investigated effects of narcissism and emotional intelligence (EI) on popularity in social networks. In a longitudinal field study we examined the dynamics of popularity in 15 peer groups in two waves (N=273).We measured narcissism, ability EI, explicit and implicit self-esteem. In addition, we measured popularity at zero acquaintance and three months later. We analyzed the data using inferential network analysis (temporal exponential random graph modeling, TERGM) accounting for self-organizing network forces. People high in narcissism were popular, but increased less in popularity over time than people lower in narcissism. In contrast, emotionally intelligent people increased more in popularity over time than less emotionally intelligent people. The effects held when we controlled for explicit and implicit self-esteem. These results suggest that narcissism is rather disadvantageous and that EI is rather advantageous for long-term popularity

Emotional Peer Support Interventions for Students With SEND: A Systematic Review

Emotional peer support systems have benefits for student-student relationships and allow for children and adolescents’ participation in schools. For students with specific educational needs and disabilities (SEND), positive relationships seem to be more difficult to attain and these students are more vulnerable to suffer negative peer experiences such as bullying and social exclusion. Systems in which peers can show helpful behavior are beneficial for schools in order to create a positive, supportive climate. Emotional peer support entails social interaction through emotional or practical help based on what these peers have in common and many times with benefits for both. This systematic review identified interventions of emotional peer support in schools for students with SEND. Twenty-three studies were identified that involved four types of befriending: circle of friends, peer buddying, peer networks, and social lunch clubs. Studies reported mainly positive outcomes for both focus students and peer supporters in terms of increased social interaction and social acceptance, as well as enhanced self-esteem and empathy on the individual level. Further bonding of the students by friendship was also perceived, but more precise data is required to draw further conclusions. Support by the school as an institution, the specific role of the teacher, and family participation are important factors related to the impact of peer support systems. Information on these aspects was scarce, and it is recommended to include variables of this nature in future research. Intervention descriptions revealed students’ active participation through suggestions for activities, however their involvement in organizing the systems was limited. More research is needed to learn about the opportunities of emotional peer support to improve student-student relationships including the active involvement of the peers themselves in this support.2021-2

Evaluation of a New Community Organizing Program at a Latino Advocacy Nonprofit in Pittsburgh, PA

Pittsburgh, Pennsylvania is an Emerging Latino Community (ELC), where Latinos are a small but rapidly growing population segment. ELCs lack the social networks and access to resources present in traditional migrant locations. This inhibits community capacity-building and yields limited social support. Lack of social support is associated with increased mortality risk. ELCs demonstrate increased alcohol use, depressive symptoms, and lower physical activity compared to communities with greater social support. Interventions that address social support and community engagement may mitigate these adverse outcomes and are thus of public health significance, particularly in ELCs. Casa San Jose (Casa) is a Latino advocacy nonprofit that promotes integration and self-sufficiency among Pittsburgh Latinos. In January 2019, Casa created its community organizing program to: (1) provide peer-led leadership training to participants and (2) connect participants to resources by holding monthly community meetings. Through peer-led trainings and connecting participants to resources, Casa has cultivated a space where participants feel comfortable becoming more civically engaged and encouraging their peers to do the same. In April 2019, Casa requested a program evaluation. The evaluation objectives were to: (1) clarify the community organizing program’s goals and desired outcomes; (2) conduct a preliminary process evaluation; and (3) develop tools for outcome measurement in subsequent program evaluations that Casa could conduct independently. Methods I used to address project objectives included gaining access to the setting, participant observation, in-depth interviews, meetings with Casa staff, and creating preliminary evaluation tables. The results of this evaluation project align with its original objectives and are comprised of a description of Casa’s program goals and desired outcomes, identification of results from a preliminary process evaluation, and definition of parameters for future Casa-directed evaluations. Evaluation results demonstrate that Casa has laid a solid foundation for its community organizing program. Leadership development workshops have helped participants become more civically engaged while gaining valuable communication skills. Community meetings have connected participants to resources. Adjustments, including more systematic communication with program participants and reaching Latinos outside of Casa’s pre-established network will further increase community capacity and participant self-efficacy, thereby improving public health outcomes such as depressive symptoms and alcohol use

Open Sourcing Social Change: Inside the Constellation Model

The constellation model was developed by and for the Canadian Partnership for Children's Health and the Environment. The model offers an innovative approach to organizing collaborative efforts in the social mission sector and shares various elements of the open source model. It emphasizes self-organizing and concrete action within a network of partner organizations working on a common issue. Constellations are self-organizing action teams that operate within the broader strategic vision of a partnership. These constellations are outwardly focused, placing their attention on creating value for those in the external environment rather than on the partnership itself. While serious effort is invested into core partnership governance and management, most of the energy is devoted to the decision making, resources and collaborative effort required to create social value. The constellations drive and define the partnership. The constellation model emerged from a deep understanding of the power of networks and peer production. Leadership rotates fluidly amongst partners, with each partner having the freedom to head up a constellation and to participate in constellations that carry out activities that are of more peripheral interest. The Internet provided the platform, the partner network enabled the expertise to align itself, and the goal of reducing chemical exposure in children kept the energy flowing. Building on seven years of experience, this article provides an overview of the constellation model, discusses the results from the CPCHE, and identifies similarities and differences between the constellation and open source models