scholarly journals Twitter Data Import Models

2021 ◽  
Vol 19 (2) ◽  
pp. 76-91
Author(s):  
V. A. Popov ◽  
A. A. Chepovskiy
Keyword(s):  
Social Network ◽  
User Interaction ◽  
Weighted Graphs ◽  
Twitter Data ◽  
Information Interaction ◽  
The Social ◽  
Social Graphs ◽  
The Given

In this paper, the authors describe an algorithm for importing data from the social network Twitter and building weighted social graphs. To import data, the given posts are taken as a basis, users who have had any of the recorded interactions with them are downloaded. Further, the algorithm focuses on the given configuration and uses it to calculate the weights on the edges of the resulting graph. The configuration takes into account the type of user interaction with each other. The authors introduce the concept of (F, L, C, R)-model of information interaction.The authors describe the developed algorithm and implemented software for constructing weighted graphs. The paper shows the application of the algorithm and three models on the example of both a single post and a series of posts.

scholarly journals The method of calculating the protection of information from the interaction of users in social networks

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
V. A. Savchenko ◽  
◽  
V. M. Akhramovych ◽  
T. M. Dzyuba ◽  
S. O. Laptіev ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Harmonic Oscillator ◽  
Nonlinear Function ◽  
User Interaction ◽  
Protection System ◽  
Time Interval ◽  
Information Protection ◽  
User Interactions ◽  
The Social

The elements of user interaction in social networks are considered: it is shown that the method of analysis of user interactions is based on assumptions when the magnitude of the influence depends on the centrality of users in the social network; the greater the consonance, the higher the nature of the influence, the interaction is a nonlinear function; it is indicated that interaction is a process that has a time interval, the linear model of protection of the information protection system from user interaction is considered; the obtained equations of protection are the equation of a harmonic oscillator with damping amplitude, the iteration of oscillations of the protection system in the pre-resonant, resonant and post-resonant zones is shown.

scholarly journals The Online Social Network and User Innovation

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Structural Characteristics ◽  
Online Social Network ◽  
User Interaction ◽  
User Innovation ◽  
Media Technology ◽  
The Social ◽  
Use Of Social Media ◽  
The Impact

The wide use of social media technology boosts many online innovation platforms, providing effective communication channels for innovation spreading among online users. From the social network perspective, this paper investigates the impact of online interactive relations on user innovation by holistically examining online relations from relational and structural embeddedness, qualified by both the ego-centered and the entire network, respectively. User interaction data from LEGO Ideas are used to empirically test the effects of relational and structural characteristics of online social networks on users’ idea contributions. The results for relational characteristics reveal that the number of online ties has an inverted U-shaped relationship with user innovation, the strength of online ties positively affects user innovation, and neighbor characteristics cannot affect user innovation. For structural characteristics, both centrality and bridge location positively affect user innovation. The findings provide reasonable suggestions for both online users and innovation platforms.

scholarly journals Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nauman Ali Khan ◽  
Wuyang Zhou ◽  
Mudassar Ali Khan ◽  
Ahmad Almogren ◽  
Ikram Ud Din
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Research Direction ◽  
Social Actors ◽  
The Social ◽  
Depth Analysis ◽  
Location Based Social Network ◽  
Triadic Closure ◽  
Location Based Social Networks ◽  
The Given

Social Internet of Things (SIoT) is a variation of social networks that adopt the property of peer-to-peer networks, in which connections between the things and social actors are automatically established. SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks’ formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors’ communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.

Facebook in the low-cost fashion sector: the case of Primark

2017 ◽  
Vol 21 (4) ◽  
pp. 512-522 ◽  
Author(s):  
Josep Lluis Del Olmo Arriaga ◽  
David Andreu Domingo ◽  
Vanesa Berlanga Silvente
Keyword(s):  
Social Network ◽  
Low Cost ◽  
Social Network Sites ◽  
User Interaction ◽  
User Interactions ◽  
Content Type ◽  
Fashion Brand ◽  
The Social ◽  
The Relationship

Purpose The purpose of this paper is to analyse the interaction between fashion brands and consumers on social network sites. More precisely, the goal is to assess the relationship that is established between the low-cost fashion company Primark and followers of the brand on the Facebook social network in Spain, and to evaluate the brand’s use of consumer passion through this social network. Design/methodology/approach The fieldwork for this research was conducted over September-October 2015, which coincided with the final stages in the sales and the start of the autumn-winter 2015 season. The methodology was based on a daily study of all Primark publications and user interactions with the brand on Facebook. Findings The results of this study show that there is some engagement between Facebook users and Primark. However, the company does not respond to this user interaction, thereby missing opportunities in the field of consumer passion. Originality/value Until now, research into the interaction of fashion brands with users of the social networks has focused mainly on the luxury sector. This study makes an important contribution to research into the interaction between a low-cost fashion brand and users of social network sites. Primark was chosen as the focus of this case study because the brand has become a model since it broke into the mature Spanish fashion market.

scholarly journals Implementation of Social Network Analysis in the Spread of Natuna Issues on Twitter

2021 ◽  
Vol 4 (1) ◽  
pp. 64-72
Author(s):  
Ashif Dzilfiqar Thayyibi ◽  
◽  
Juliana Mansur ◽  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Method ◽  
Twitter Data ◽  
Internet Users ◽  
The Social ◽  
Collection Period ◽  
Society Today

Currently, the growth of internet users has been accompanied by the development of applications that support interaction among users, which is called social media. One of the popular social media in society today is twitter. Data on Twitter can be presented in a graph structure visualization in nodes that represent actors and edges that represent relationships between actors. In an effort to find the most influential actors and actors who interact the most in spreading the Natuna topic on social media twitter, an analysis will be carried out using the Social Network Analysis method using the Degree Centrality approach. The data used in this study were taken from December 20, 2019 at 00.00 WIB to January 7, 2020 at 10.00 WIB consisting of 71,477 nodes and 147066 edges. The results of this study can be concluded that the @susipudjiastuti account is the most influential actor and plays an important role in social networking because the @susipudjiastuti account is the most linked account with 29755 links. Meanwhile, the @ shaktia704 account was the most active account during the data collection period, which reached 259 links.

Brand Analysis in Social Network Services: Results from Content Analysis in Twitter Regarding the US Smartphone Market

2017 ◽  
Vol 14 (02) ◽  
pp. 1740008 ◽  
Author(s):  
Arash Hajikhani ◽  
Jari Porras ◽  
Helinä Melkas
Keyword(s):  
Social Network ◽  
Network Services ◽  
Innovation Strategy ◽  
User Profiles ◽  
Multiple User ◽  
Front End ◽  
Twitter Data ◽  
The Social ◽  
The Us ◽  
Social Network Services

Marketing is the front-end strategy of firms to communicate the value of their products or services to customers; therefore, innovations in marketing have tremendous value in comparison to the whole innovation strategy of firms. The emergence of social network services (SNSs) as a dominant communication platform among firms and users provides an opportunity to evaluate the innovativeness of a firm’s marketing strategy. With an analysis of Twitter data, the study indicates how users react to content from different profile types. This result could inspire firms and the social media strategists of companies to diversify their content over multiple user profiles.

scholarly journals Corporate portal as a core of the innovation ecosystem of a technopark

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhanna Baziyan
Keyword(s):  
Science Education ◽  
Social Network ◽  
Basic Structure ◽  
Ecosystem Approach ◽  
Innovation Ecosystem ◽  
Staff Members ◽  
The Social ◽  
Web Forum ◽  
The Given ◽  
Informal Communications

This article is the first to consider the possibility of using corporate portals as one of the tools for creating an innovation ecosystem in technoparks. Application of modern “ecosystem approach” is substantiated by the author. The given approach allows considering technopark as an innovation ecosystem, in which close integration ties and cooperation between science, education institutions and business are being developed and which forms a favorable environment for creation, transfer and commercialization of knowledge. The author of the article proposes to establish a corporate portal for technoparks which will become a core of such an ecosystem. For this purpose, tasks to be accomplished by means of the technopark corporate portal were outlined. Further, methodological recommendations for the formation of the basic structure of technopark corporate portal were developed in accordance with the outlined tasks and based on technical capacities of modern portals. The basic structural components, according to the author, should become the social network, “news feed”, web-forum and calendar of events of the technopark. In the author’s opinion, the social network should become а key component of the technopark corporate portal, which will contribute to closer cooperation of people who work in various organizations within a technopark and the knowledge transfer between them. It was concluded that creation of technopark corporate portal will not only enable establishing and strengthening collaboration ties between science, education institutions and business, but will also enhance informal communications between those working in technopark including staff members of various organizations and entrepreneurs who are working on their own startup projects.

Equity crowdfunding platforms and social media: a Twitter analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enrico Battisti ◽  
Elvira Anna Graziano ◽  
Michael Christofi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Research Field ◽  
Content Type ◽  
Equity Crowdfunding ◽  
Twitter Data ◽  
Italian Market ◽  
The Social ◽  
Twitter Analysis ◽  
Equity Model

PurposeThe purpose of this study is to explore the central users (hubs) in the dissemination of equity crowdfunding (EC) news on social media, with particular regard to Twitter. Specifically, the study explores some aspects related to the diffusion of news through social networks concerning EC.Design/methodology/approachThrough a social network analysis (SNA) technique the authors define an understanding of the users' network that is created on Twitter when it comes to crowdfunding. Using Twitter data, the authors identify the central actors on the social network that produce and/or disseminate information about crowdfunding tools.FindingsThe results indicate that a large number of users tweeted about EC in relation to the introduction of the most important Commissione Nazionale per le Società e la Borsa (Consob) Regulation n. 20264 of 17/01/2018 on an equity model at the beginning of 2018; the growth in the use of this instrument in the first quarter of 2019 and the publication of Commissione Nazionale per le Società e la Borsa (Consob) Regulation n. 21110 of 10/10/2019. Moreover, the authors find that in the case of tweets concerning EC, the operators of the sector, with particular regard to crowdfunding platforms, are central to the network, followed by traditional and specialised media.Originality/valueThe results shed new light on a still unexplored research field concerning the diffusion of news about EC from a platform's perspective. To the best of the authors' knowledge, this is the first explorative study that jointly investigates an EC model and social media in the Italian market, considering the impacts of two different and important regulations. In particular, this study contributes to the literature on EC by clarifying some new aspects related to the diffusion of news through Twitter.

scholarly journals Comparison of social structures within cities of very different sizes

2016 ◽  
Vol 3 (2) ◽  
pp. 150526 ◽  
Author(s):  
P. Grindrod ◽  
T. E. Lee
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Structure ◽  
Social Structures ◽  
Twitter Data ◽  
Novel Approach ◽  
The Social ◽  
Wide Range ◽  
Virtual City

People make a city, making each city as unique as the combination of its inhabitants. However, some cities are similar and some cities are inimitable. We examine the social structure of 10 different cities using Twitter data. Each city is decomposed to its communities. We show that in many cases one city can be thought of as an amalgamation of communities from another city. For example, we find the social network of Manchester is very similar to the social network of a virtual city of the same size, where the virtual city is composed of communities from the Bristol network. However, we cannot create Bristol from Manchester since Bristol contains communities with a social structure that are not present in Manchester. Some cities, such as Leeds, are outliers. That is, Leeds contains a particularly wide range of communities, meaning we cannot build a similar city from communities outside of Leeds. Comparing communities from different cities, and building virtual cities that are comparable to real cities, is a novel approach to understand social networks. This has implications when using social media to inform or advise residents of a city.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social
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