Exploiting Enriched Knowledge of Web Network Structures

2015 ◽  
pp. 255-286
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Data Extraction ◽  
Web Pages ◽  
Network Structures ◽  
Social Media Platform ◽  
Special Software ◽  
Testing Tool ◽  
Media Platform ◽  
Data Visualizations ◽  
The Web

Understanding Web network structures may offer insights on various organizations and individuals. These structures are often latent and invisible without special software tools; the interrelationships between various websites may not be apparent with a surface perusal of the publicly accessible Web pages. Three publicly available tools may be “chained” (combined in sequence) in a data extraction sequence to enable visualization of various aspects of http network structures in an enriched way (with more detailed insights about the composition of such networks, given their heterogeneous and multimodal contents). Maltego Tungsten™, a penetration-testing tool, enables the mapping of Web networks, which are enriched with a variety of information: the technological understructure and tools used to build the network, some linked individuals (digital profiles), some linked documents, linked images, related emails, some related geographical data, and even the in-degree of the various nodes. NCapture with NVivo enables the extraction of public social media platform data and some basic analysis of these captures. The Network Overview, Discovery, and Exploration for Excel (NodeXL) tool enables the extraction of social media platform data and various evocative data visualizations and analyses. With the size of the Web growing exponentially and new domains (like .ventures, .guru, .education, .company, and others), the ability to map widely will offer a broad competitive advantage to those who would exploit this approach to enhance knowledge.

Towards Content-Dependent Social Media Platform Preference Analysis

2020 ◽  
Vol 11 (2) ◽  
pp. 30-47
Author(s):  
Parmeet Kaur ◽  
Shubhankar Gupta ◽  
Shubham Dhingra ◽  
Shreeya Sharma ◽  
Anuja Arora
Keyword(s):  
Social Media ◽  
Mobile Technologies ◽  
Time Intervals ◽  
Social Media Platform ◽  
The People ◽  
Regular Time ◽  
The World ◽  
Media Platform ◽  
The Web ◽  
The Way

Social media is one of the major outcomes of progressive changes in the world of technology. The various social webs and mobile technologies have accelerated the rate at which information sharing is done, how relationships developed, and influences are held. Social media is increasingly being used by the people to help and shape the world's events and cultures with the ability to share pictures, ideas, events, etc. Further, it has transformed the way the authors interpret life and the way business is done. This article presents a decision system for selecting an appropriate social media platform (such as Facebook or Twitter) to post content with the objective to maximize the reachability of the post. The decision is made considering the domain or subject of the post and retrieving data associated with it from the web at regular time intervals. The retrieved data has been trained using logistics and K-NN regression to classify a particular instance of data and identify the platform which can provide the most reachability. The system also suggests keywords related to the topic of the post which has been mostly used in recent times.

Real-Time Sentiment Analysis of Microblog Messages with the Maltego “Tweet Analyzer” Machine

2017 ◽  
pp. 316-337
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Open Access ◽  
Sentiment Analysis ◽  
Real Time ◽  
Sensor Network ◽  
Fast Moving ◽  
Social Media Platform ◽  
Other Information ◽  
Media Platform ◽  
The Web

For social media to work as a “human sensor network” or a relevant source for “eventgraphing” for some fast-moving events, it is important to be capture real-time and locational information. It may help to not only capture information from a particular social media platform but from across the Web. In such a context, Maltego Carbon 3.5.3/Chlorine 3.6.0's Tweet Analyser “machine” (with AlchemyAPI built-in) and used in combination with other “transforms,” may serve the purpose—at least for initial and iterated sampling of the related messaging. This tool may be used to capture information from social media accounts.. social media accounts, linked URLs, geolocational information, and other information of research value. Maltego is an open-access tool with a community version and a proprietary commercial version available by subscription. Maltego Chlorine's Tweet Analyzer has a built-in sentiment analysis feature.

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Value cocreation behavior of customers and companies on the Weibo social media platform

2020 ◽  
Vol 48 (3) ◽  
pp. 1-11
Author(s):  
Huiqin Zhang ◽  
Hai Lan ◽  
Xudong Chen
Keyword(s):  
Social Media ◽  
Service Quality ◽  
Customer Value ◽  
Two Dimensions ◽  
Customer Participation ◽  
Citizenship Behavior ◽  
Generation Process ◽  
Social Media Platform ◽  
Value Cocreation ◽  
Media Platform

The Weibo social media platform in China has an important role in the value-generation process between a company and a customer. We investigated the relationship between the service quality provided on a company's Weibo page and the two dimensions of customer value cocreation behavior, namely, participation and citizenship, as well as the moderating effect of collectivism on this relationship. Participants were 354 active users of Weibo. Our findings confirmed that the service quality provided on a company's Weibo page was critical to the generation of customer value cocreation behavior. Further, collectivism moderated this relationship, with higher levels of collectivism strengthening the Weibo page service quality and customer value cocreation behavior relationship. In addition, customer citizenship behavior was positively related to customer perceptions of brand image, whereas customer participation was not. Implications for companies in the Chinese context are discussed.

Earth-Science Outreach Using an Integrated Social Media Platform

GSA Today ◽  
2017 ◽  
Author(s):  
C.J. Spencer ◽  
K.L. Gunderson ◽  
C.W. Hoiland ◽  
W.K. Schleiffarth
Keyword(s):  
Social Media ◽  
Earth Science ◽  
Science Outreach ◽  
Social Media Platform ◽  
Media Platform

scholarly journals Social Media Use Among Foot and Ankle Orthopedic Surgeons

2021 ◽  
Vol 6 (1) ◽  
pp. 247301142098192
Author(s):  
Garret Garofolo-Gonzalez ◽  
Cesar R. Iturriaga ◽  
Jordan B. Pasternack ◽  
Adam Bitterman ◽  
Gregory P. Guyton
Keyword(s):  
Social Media ◽  
Clinical Practice ◽  
Media Use ◽  
The United States ◽  
Foot And Ankle ◽  
Social Media Use ◽  
Social Media Platform ◽  
Orthopedic Surgeons ◽  
Media Platform ◽  
Social Media Presence

Background: Digital media is an effective tool to enhance brand recognition and is currently referenced by more than 40% of orthopedic patients when selecting a physician. The purpose of this study was to evaluate the use of social media among foot and ankle (F&A) orthopedic surgeons, and the impact of that social media presence on scores of a physician-rated website (PRW). Methods: Randomly selected F&A orthopedic surgeons from all major geographical locations across the United States were identified using the AAOS.org website. Internet searches were then performed using the physician’s name and the respective social media platform. A comprehensive social media use index (SMI) was created for each surgeon using a scoring system based on social media platform use. The use of individual platforms and SMI was compared to the F&A surgeon’s Healthgrades scores. Descriptive statistics, unpaired Student t tests, and linear regression were used to assess the effect of social media on the PRW scores. Results: A total of 123 board-certified F&A orthopedic surgeons were included in our study demonstrating varying social media use: Facebook (48.8%), Twitter (15.4%), YouTube (23.6%), LinkedIn (47.9%), personal website (24.4%), group website (52.9%), and Instagram (0%). The mean SMI was 2.4 ± 1.6 (range 0-7). Surgeons who used a Facebook page were older, whereas those using a group website were younger ( P < .05). F&A orthopedic surgeons with a YouTube page had statistically higher Healthgrades scores compared to those without ( P < .05). Conclusion: F&A orthopedic surgeons underused social media platforms in their clinical practice. Among all the platforms studied, a YouTube page was the most impactful social media platform on Healthgrades scores for F&A orthopedic surgeons. Given these findings, we recommend that physicians closely monitor their digital identity and maintain a diverse social media presence including a YouTube page to promote their clinical practice. Level of Evidence: Level IV.

Political Knowledge and Misinformation in the Era of Social Media: Evidence From the 2015 UK Election

2020 ◽  
pp. 1-21
Author(s):  
Kevin Munger ◽  
Patrick J. Egan ◽  
Jonathan Nagler ◽  
Jonathan Ronen ◽  
Joshua Tucker
Keyword(s):  
Social Media ◽  
Political Parties ◽  
News Media ◽  
Political Knowledge ◽  
Public Affairs ◽  
Political Information ◽  
The Political ◽  
Election Campaign ◽  
Social Media Platform ◽  
Media Platform

Abstract Does social media educate voters, or mislead them? This study measures changes in political knowledge among a panel of voters surveyed during the 2015 UK general election campaign while monitoring the political information to which they were exposed on the Twitter social media platform. The study's panel design permits identification of the effect of information exposure on changes in political knowledge. Twitter use led to higher levels of knowledge about politics and public affairs, as information from news media improved knowledge of politically relevant facts, and messages sent by political parties increased knowledge of party platforms. But in a troubling demonstration of campaigns' ability to manipulate knowledge, messages from the parties also shifted voters' assessments of the economy and immigration in directions favorable to the parties' platforms, leaving some voters with beliefs further from the truth at the end of the campaign than they were at its beginning.

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