scholarly journals Should I Tear down This Wall? Optimizing Social Metrics by Evaluating Novel Actions

Author(s):  
János Kramár ◽  
Neil Rabinowitz ◽  
Tom Eccles ◽  
Andrea Tacchetti
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3315
Author(s):  
Aida-Ștefania Manole ◽  
Radu-Ioan Ciobanu ◽  
Ciprian Dobre ◽  
Raluca Purnichescu-Purtan

Constant Internet connectivity has become a necessity in our lives. Hence, music festival organizers allocate part of their budget for temporary Wi-Fi equipment in order to sustain the high network traffic generated in such a small geographical area, but this naturally leads to high costs that need to be decreased. Thus, in this paper, we propose a solution that can help offload some of that traffic to an opportunistic network created with the attendees’ smartphones, therefore minimizing the costs of the temporary network infrastructure. Using a music festival-based mobility model that we propose and analyze, we introduce two routing algorithms which can enable end-to-end message delivery between participants. The key factors for high performance are social metrics and limiting the number of message copies at any given time. We show that the proposed solutions are able to offer high delivery rates and low delivery delays for various scenarios at a music festival.


2021 ◽  
Vol 11 (13) ◽  
pp. 6022
Author(s):  
Victor Sanchez-Anguix ◽  
Okan Tunalı ◽  
Reyhan Aydoğan ◽  
Vicente Julian

In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance by all parties involved in the negotiation. We argue that, while optimizing one’s utility function is essential, agents in a society should not ignore the opponent’s utility in the final agreement to improve the agent’s long-term perspectives in the system. This article aims to show whether it is possible to design a social agent (i.e., one that aims to optimize both sides’ utility functions) while performing efficiently in an agent society. Accordingly, we propose a social agent supported by a portfolio of strategies, a novel tit-for-tat concession mechanism, and a frequency-based opponent modeling mechanism capable of adapting its behavior according to the opponent’s behavior and the state of the negotiation. The results show that the proposed social agent not only maximizes social metrics such as the distance to the Nash bargaining point or the Kalai point but also is shown to be a pure and mixed equilibrium strategy in some realistic agent societies.


2018 ◽  
Vol 27 (01) ◽  
pp. 1741003 ◽  
Author(s):  
Tong Wang ◽  
Yongzhe Zhou ◽  
Xibo Wang ◽  
Yue Cao

As a cooperative information system, vehicles in Vehicular Sensor Networks deliver messages based on collaboration. Due to the high speed of vehicles, the topology of the network is highly dynamic, and the network may be disconnected frequently. So how to transfer large files in such network is worth considering. The encountering nodes which never meet before flood messages blindly cause tremendous network overhead. We address this challenge by introducing the Encounter Utility Rank Router (EURR) based on social metrics. EURR includes three cases: Utility Replication Strategy, Lifetime Replication Strategy and SocialRank Replication Strategy. The Lifetime Replication is promising and complements Utility Replication. It enhances the delivery ratio by relaying the copy via the remaining lifetime. Considering the network overhead, the SocialRank Replication replicates a copy according to the SocialRank when two communicating nodes have not met before. The routing mechanism explores the utility of history encounter information and social opportunistic forwarding. The results under the scenario show an advantage of the proposed EURR over the compared algorithms in terms of delivery ratio, average delivery latency and overhead ratio.


Author(s):  
Charalampos Chelmis ◽  
Vikram Sorathia ◽  
Viktor K. Prasanna

The decision making process in organizations is constantly evolving with expanding geographical boundaries and ever-changing technology landscape. A major part of decisions and deliberations now typically takes place in collaboration platforms like emails, enterprise social networks, discussion servers, chats, and conferencing services. These platforms contain problem solving insights, recommendations, best practices, expert opinions, and answers, and must be considered part of the organizational knowledge management effort. However, traditional knowledge management techniques do not sufficiently capture the hidden nuggets of knowledge buried in communication logs. In this chapter, the authors describe the need for a paradigm shift in knowledge management strategy and propose semantic social network analysis as a potential solution. They introduce the concept of social knowledge networks and describe knowledge algebra by defining rigorous social metrics. Finally, to demonstrate the applicability of the approach, the authors provide two case studies that lead to identification of experts and mining of best practices from informal communication at the workplace.


Author(s):  
Ana Pérez-Escoda ◽  
Carlos Jiménez-Narros ◽  
Marta Perlado-Lamo-de-Espinosa ◽  
Luis Miguel Pedrero-Esteban

An increased use of social networks is one of the most far-reaching consequences of the COVID-19 pandemic. Aside from the traditional media, as the main drivers of social communication in crisis situations, individual profiles have emerged supported by social networks, which have had a similar impact to the more specialized communication media. This is the hypothesis of the research presented, which is focused on health communication and based on a virtual ethnography methodology with the use of social metrics. The aim is to understand the relationship established between the population in general and digital media in particular through the measurement of engagement. In this regard, a comparative study was carried out that describes this phenomenon over a period of six months on three social networks: YouTube, Twitter and Instagram, with a sample composed of specialized health media versus healthcare professionals. The results point to a new communications model that opens up a new space for agents whose content has a degree of engagement comparable to and even exceeding that of digital media specialized in health communication. The conclusions show that the crisis of the pandemic has accelerated the transformation of the communication sector, creating new challenges for the communication industry, media professionals, and higher education institutions related to market demands.


Author(s):  
O. Cervantes ◽  
E. Gutiérrez ◽  
F. Gutiérrez ◽  
J. A. Sánchez

We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage, points of interest and available services in a smart city. This data can be used to personalize recommendations in a smart tourism application. Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity. These metrics are useful to discover relevant nodes within the network yielding nodes that can be interpreted as suggestions (venues or services) to users. We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations. We also present challenges and results from a prototypical implementation applied to the case study of the City of Puebla, Mexico.


Bibliosphere ◽  
2018 ◽  
pp. 93-99 ◽  
Author(s):  
O. M. Udartseva ◽  
A. E. Rykhtorova

This article is devoted to analysis of the technologies effectiveness to promote library resources. The first part explores using web analytics and its tools in the library. The study of existing approaches to choose web metrics allows identifying the following key metrics to assess the effectiveness of the library web site operation: (1) attendance metrics; (2) the metrics of involvement and loyalty; (3) social metrics. The techniques effectiveness direct evaluation is proposed to promote library resources based on the analysis of: (1) measurable targeted actions by users on the site; (2) transitions to the library site by external links from search engines; (3) sites with high density of clicks and conversion of site landing pages; (4) existing segments of users and their activity. This paper provides perspectives showing what ways this emerging area of study can help in understanding and improving the perception of products and services on websites of libraries.


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