scholarly journals Evolution Model of Spatial Interaction Network in Online Social Networking Services

Entropy ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 434
Author(s):  
Jian Dong ◽  
Bin Chen ◽  
Pengfei Zhang ◽  
Chuan Ai ◽  
Fang Zhang ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Information Dissemination ◽  
Preferential Attachment ◽  
Spatial Interaction ◽  
Interaction Network ◽  
Evolution Model ◽  
Social Networking Services ◽  
The City ◽  
Real City

The development of online social networking services provides a rich source of data of social networks including geospatial information. More and more research has shown that geographical space is an important factor in the interactions of users in social networks. In this paper, we construct the spatial interaction network from the city level, which is called the city interaction network, and study the evolution mechanism of the city interaction network formed in the process of information dissemination in social networks. A network evolution model for interactions among cities is established. The evolution model consists of two core processes: the edge arrival and the preferential attachment of the edge. The edge arrival model arranges the arrival time of each edge; the model of preferential attachment of the edge determines the source node and the target node of each arriving edge. Six preferential attachment models (Random-Random, Random-Degree, Degree-Random, Geographical distance, Degree-Degree, Degree-Degree-Geographical distance) are built, and the maximum likelihood approach is used to do the comparison. We find that the degree of the node and the geographic distance of the edge are the key factors affecting the evolution of the city interaction network. Finally, the evolution experiments using the optimal model DDG are conducted, and the experiment results are compared with the real city interaction network extracted from the information dissemination data of the WeChat web page. The results indicate that the model can not only capture the attributes of the real city interaction network, but also reflect the actual characteristics of the interactions among cities.

scholarly journals Servicios Web 2.0 en el portal UNICA

Telos ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 643-660
Author(s):  
Rigo Grimaldos Olmos ◽  
Anny Paz Baptista
Keyword(s):  
Social Networks ◽  
Knowledge Management ◽  
Web 2.0 ◽  
Social Networking ◽  
21St Century ◽  
Catholic Church ◽  
Social Networking Services ◽  
Catholic University ◽  
The University ◽  
The Catholic Church

This investigation aimed to determine the use of web 2.0 services in the Catholic University Cecilio Acosta (UNICA) site by the institution, located in Maracaibo city, Venezuela. The theoretical contributions were supported by O'Reilly (2007), Lévy (2004), Rheingold (2004), Surowiecki (2005), Cobo (2007a), among other authors. The investigation comes from a project attached to the UNICA Research and Postgraduate Deanery, was descriptive, an observation guide was applied to collect information from the UNICA website and the 2.0 services to which it is associated as the platforms for vertical social networks YouTube, Instagram and SoundCloud, and platforms for horizontal social networks Facebook and Twitter. Among the most relevant findings was the exclusive use of social networking services for interaction with the university community, without including other services that seek to generate knowledge. It is concluded that UNICA uses web 2.0 services in its site in a limited and non-strategic way, with a purely informative nature that includes specific topics of the university and the catholic church, which could hinder the knowledge management as process of 21st century universities.

scholarly journals Social networking services and E-participation.

2020 ◽  
Vol 11 (8-2020) ◽  
pp. 196-198
Author(s):  
A.L. Shchur ◽  
◽  
A.M. Fedorov ◽  
I.O. Datyev ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Open Data ◽  
Social Networking Services

The report discusses various ways of using open data arrays of social networks as an application tool in the framework of the e-participation initiative as an integral part of a democratic administeringat the municipal and regional levels. Some prospects for their further research are also being discussed.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2011 ◽  
pp. 909-924
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2010 ◽  
pp. 497-512 ◽  
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

scholarly journals Online Social Networks (OSN) Evolution Model Based on Homophily and Preferential Attachment

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 654 ◽  
Author(s):  
Jebran Khan ◽  
Sungchang Lee
Keyword(s):  
Social Networks ◽  
Structural Properties ◽  
Online Social Networks ◽  
Large Scale ◽  
Preferential Attachment ◽  
Real Life ◽  
Synthetic Data ◽  
Evolution Model ◽  
Scale Invariant ◽  
Scale Free

In this paper, we propose a new scale-free social networks (SNs) evolution model that is based on homophily combined with preferential attachments. Our model enables the SN researchers to generate SN synthetic data for the evaluation of multi-facet SN models that are dependent on users’ attributes and similarities. Homophily is one of the key factors for interactive relationship formation in SN. The synthetic graph generated by our model is scale-invariant and has symmetric relationships. The model is dynamic and sustainable to changes in input parameters, such as number of nodes and nodes’ attributes, by conserving its structural properties. Simulation and evaluation of models for large-scale SN applications need large datasets. One way to get SN data is to generate synthetic data by using SN evolution models. Various SN evolution models are proposed to approximate the real-life SN graphs in previous research. These models are based on SN structural properties such as preferential attachment. The data generated by these models is suitable to evaluate SN models that are structure dependent but not suitable to evaluate models which depend on the SN users’ attributes and similarities. In our proposed model, users’ attributes and similarities are utilized to synthesize SN graphs. We evaluated the resultant synthetic graph by analyzing its structural properties. In addition, we validated our model by comparing its measures with the publicly available real-life SN datasets and previous SN evolution models. Simulation results show our resultant graph to be a close representation of real-life SN graphs with users’ attributes.

scholarly journals Understanding users Display-Name Consistency across Social Networks

2019 ◽  
Vol 8 (5S3) ◽  
pp. 471-476
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Networking ◽  
Experimental Results ◽  
Personal Attributes ◽  
Media Content ◽  
Social Networking Services ◽  
Twitter User ◽  
The Social ◽  
Twitter Users

Online users create their profiles on numerous social platforms to get benefits of various types of social media content. During online profile creation, the user selects a username and feeds his/her personal details like name, location, email, etc. As different social networking services acquire common personal attributes of the same user and present them in a variety of formats. To understand the availability and similarity of personal attributes across various social networking services, we propose a method that uses the different distance measuring algorithms to determine the display-name similarity across social networks. From the experimental results, it is found that at least twenty percent GooglePlus-Facebook and Facebook-Twitter users select the same display name, while forty five percent Google and Twitter user select identical name across both the social networks.

scholarly journals Social networking services analysis: main challenges and application areas.

2020 ◽  
Vol 11 (8-2020) ◽  
pp. 192-196
Author(s):  
A.L. Shchur ◽  
◽  
I.O. Datyev ◽  
A.M. Fedorov ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Networking ◽  
Online Social Networking ◽  
Social Networking Services ◽  
The World

Online social networking services are one of the most popular types of social media in the world. The report discusses some areas of research built on the use of information obtained from social networks, as well as the main difficulties that arise during the extraction of these data arrays.

scholarly journals An Exploratory Study of Social Networking Services as a Potential Vehicle for E-Participation in the City and County of Honolulu

2013 ◽  
Vol 9 (2) ◽  
pp. 63-84 ◽  
Author(s):  
Cassandra S. Harris ◽  
Jenifer Sunrise Winter
Keyword(s):  
Pilot Study ◽  
Social Networking ◽  
Exploratory Study ◽  
Business Processes ◽  
Early Stage ◽  
Government Officials ◽  
Multiple Stakeholders ◽  
Social Networking Services ◽  
Government Services ◽  
The City

This study examined the use of Social Networking Services (SNS) by policymakers in the City and County of Honolulu. Interviews identified policymakers’ main reasons for using SNS, examined how SNS was integrated into the policymaking process, and also highlighted issues faced in deploying SNS for government services. The City and County informally initiated use of SNS in 2008, and use remained at an early stage of integration into business processes and operations at the time of this study. Government-operated SNS was primarily used as a one-way-information-based service. In this early stage, SNS was not being used to directly promote e-participation initiatives, although potential future uses were discussed. Government officials noted a spectrum of desired expectations regarding future development of SNS. The authors recommend an agency-wide use policy be created to provide for consistency of use across administrations and that a formal pilot study, addressing the perspectives of multiple stakeholders, be initiated.

Privacy Issues in Social Networks

2013 ◽  
pp. 162-183
Author(s):  
Alexandros Papanikolaou ◽  
Vasileios Vlachos ◽  
Periklis Chatzimisios ◽  
Christos Ilioudis
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Future Research ◽  
Common Goal ◽  
User Privacy ◽  
Social Networking Services ◽  
Related Information ◽  
Human Need ◽  
The Common ◽  
Privacy Issues

The inherent human need for communication and socialization is the reason for the ever-increasing use of social networking services. Social networks are a very powerful communications tool that also has the ability of aggregating large volumes of information. However, if this user-related information is exploited in certain ways, it can have harmful consequences on user privacy. This chapter defines what privacy is in the context of social networks, demonstrates how user privacy can be violated, and supports these claims with examples of real incidents. Furthermore, it presents various countermeasures, as well as directions for future research with the common goal of the protection of user privacy.

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