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https://www.readbyqxmd.com/read/28933944/discrn-a-distributed-storytelling-framework-for-intelligence-analysis
#1
Manu Shukla, Raimundo Dos Santos, Feng Chen, Chang-Tien Lu
Storytelling connects entities (people, organizations) using their observed relationships to establish meaningful storylines. This can be extended to spatiotemporal storytelling that incorporates locations, time, and graph computations to enhance coherence and meaning. But when performed sequentially these computations become a bottleneck because the massive number of entities make space and time complexity untenable. This article presents DISCRN, or distributed spatiotemporal ConceptSearch-based storytelling, a distributed framework for performing spatiotemporal storytelling...
September 2017: Big Data
https://www.readbyqxmd.com/read/28881004/-colorectalsurgery
#2
R R W Brady, S J Chapman, S Atallah, M Chand, J Mayol, A M Lacy, S D Wexner
BACKGROUND: The use of social media platforms among healthcare professionals is increasing. A Twitter social media campaign promoting the hashtag #colorectalsurgery was launched with the aim of providing a specialty-specific forum to collate discussions and science relevant to an engaged, global community of coloproctologists. This article reviews initial experiences of the early adoption, engagement and utilization of this pilot initiative. METHODS: The hashtag #colorectalsurgery was promoted via the online microblogging service Twitter across a 180-day interval...
October 2017: British Journal of Surgery
https://www.readbyqxmd.com/read/28780901/twitter-discussions-about-the-predicaments-of-robots-in-geriatric-nursing-forecast-of-nursing-robotics-in-aged-care
#3
Henrik Eriksson, Martin Salzmann-Erikson
People use social media to express perceptions, attitudes and a wide range of concerns regarding human life. In this study, discussions on the microblog site Twitter regarding nursing robotics in aged care were used to study and analyse some of the predicaments presented regarding the impact robots will have in geriatric nursing. Data were retrospectively collected from Twitter. In the final analyses 1,322 mentions were included in the final analyses, where principles of interpreting data by using netnography were utilized...
August 7, 2017: Contemporary Nurse
https://www.readbyqxmd.com/read/28717214/cumulative-dynamics-of-independent-information-spreading-behaviour-a-physical-perspective
#4
Cangqi Zhou, Qianchuan Zhao, Wenbo Lu
The popularization of information spreading in online social networks facilitates daily communication among people. Although much work has been done to study the effect of interactions among people on spreading, there is less work that considers the pattern of spreading behaviour when people independently make their decisions. By comparing microblogging, an important medium for information spreading, with the disordered spin glass system, we find that there exist interesting corresponding relationships between them...
July 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28672026/weibo-sentiments-and-stock-return-a-time-frequency-view
#5
Yingying Xu, Zhixin Liu, Jichang Zhao, Chiwei Su
This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter's variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which have both frequency and time-varying features. Five detailed sentiments are positively related to the stock return for certain periods, particularly since October 2014 at medium to high frequencies of less than ten trading days, when the stock return is undergoing significant fluctuations...
2017: PloS One
https://www.readbyqxmd.com/read/28611016/how-do-you-relax-when-you-re-stressed-a-content-analysis-and-infodemiology-study-of-stress-related-tweets
#6
Son Doan, Amanda Ritchart, Nicholas Perry, Juan D Chaparro, Mike Conway
BACKGROUND: Stress is a contributing factor to many major health problems in the United States, such as heart disease, depression, and autoimmune diseases. Relaxation is often recommended in mental health treatment as a frontline strategy to reduce stress, thereby improving health conditions. Twitter is a microblog platform that allows users to post their own personal messages (tweets), including their expressions about feelings and actions related to stress and stress management (eg, relaxing)...
June 13, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28545826/gamified-twitter-microblogging-to-support-resident-preparation-for-the-american-board-of-surgery-in-service-training-examination
#7
Laura C Lamb, Monica M DiFiori, Vijay Jayaraman, Brian D Shames, James M Feeney
OBJECTIVE: We sought to determine if a daily gamified microblogging project improves American Board of Surgery In-Service Training Examination (ABSITE) scores for participants. DESIGN: In July 2016, we instituted a gamified microblogging project using Twitter as the platform and modified questions from one of several available question banks. A question of the day was posted at 7-o׳clock each morning, Monday through Friday. Respondents were awarded points for speed, accuracy, and contribution to discussion topics...
May 22, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/28526035/microblogging-violent-attacks-on-medical-staff%C3%A2-in-china-a-case-study-of-the-longmen-county-people-s-hospital-incident
#8
Jia Tian, Li Du
BACKGROUND: A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People's Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China...
May 19, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28432823/-gerimedjc-the-twitter-complement-to-the-traditional-format-geriatric-medicine-journal-club
#9
Amanda I Gardhouse, Laura Budd, Seu Y C Yang, Camilla L Wong
Twitter is a public microblogging platform that overcomes physical limitations and allows unrestricted participation beyond academic silos, enabling interactive discussions. Twitter-based journal clubs have demonstrated growth, sustainability, and worldwide communication, using a hashtag (#) to follow participation. This article describes the first year of #GeriMedJC, a monthly 1-hour live, 23-hour asynchronous Twitter-based complement to the traditional-format geriatric medicine journal club. The Twitter moderator tweets from the handle @GeriMedJC; encourages use of #GeriMedJC; and invites content experts, study authors, and followers to participate in critical appraisal of medical literature...
June 2017: Journal of the American Geriatrics Society
https://www.readbyqxmd.com/read/28386441/link-prediction-in-multiplex-online-social-networks
#10
Mahdi Jalili, Yasin Orouskhani, Milad Asgari, Nazanin Alipourfard, Matjaž Perc
Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network)...
February 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28267069/upgrading-a-social-media-strategy-to-increase-twitter-engagement-during-the-spring-annual-meeting-of-the-american-society-of-regional-anesthesia-and-pain-medicine
#11
Eric S Schwenk, Kellie M Jaremko, Rajnish K Gupta, Ankeet D Udani, Colin J L McCartney, Anne Snively, Edward R Mariano
Microblogs known as "tweets" are a rapid, effective method of information dissemination in health care. Although several medical specialties have described their Twitter conference experiences, Twitter-related data in the fields of anesthesiology and pain medicine are sparse. We therefore analyzed the Twitter content of 2 consecutive spring meetings of the American Society of Regional Anesthesia and Pain Medicine using publicly available online transcripts. We also examined the potential contribution of a targeted social media campaign on Twitter engagement during the conferences...
May 2017: Regional Anesthesia and Pain Medicine
https://www.readbyqxmd.com/read/28265082/anatomy-of-news-consumption-on-facebook
#12
Ana Lucía Schmidt, Fabiana Zollo, Michela Del Vicario, Alessandro Bessi, Antonio Scala, Guido Caldarelli, H Eugene Stanley, Walter Quattrociocchi
The advent of social media and microblogging platforms has radically changed the way we consume information and form opinions. In this paper, we explore the anatomy of the information space on Facebook by characterizing on a global scale the news consumption patterns of 376 million users over a time span of 6 y (January 2010 to December 2015). We find that users tend to focus on a limited set of pages, producing a sharp community structure among news outlets. We also find that the preferences of users and news providers differ...
March 21, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28261846/using-twitter-to-understand-public-perceptions-regarding-the-hpv-vaccine-opportunities-for-public-health-nurses-to-engage-in-social-marketing
#13
Jessica Keim-Malpass, Emma M Mitchell, Emily Sun, Christine Kennedy
OBJECTIVES: Given the degree of public mistrust and provider hesitation regarding the human papillomavirus (HPV) vaccine, it is important to explore how information regarding the vaccine is shared online via social media outlets. The purpose of this study was to evaluate the content of messaging regarding the HPV vaccine on the social media and microblogging site Twitter, and describe the sentiment of those messages. DESIGN AND SAMPLE: This study utilized a cross-sectional descriptive approach...
July 2017: Public Health Nursing
https://www.readbyqxmd.com/read/28221997/topkube-a-rank-aware-data-cube-for-real-time-exploration-of-spatiotemporal-data
#14
Fabio Miranda, Lauro Lins, James Klosowski, Claudio Silva
From economics to sports to entertainment and social media, ranking objects according to some notion of importance is a fundamental tool we humans use all the time to better understand our world. With the ever-increasing amount of user-generated content found online, "what's trending" is now a commonplace phrase that tries to capture the zeitgeist of the world by ranking the most popular microblogging hashtags in a given region and time. However, before we can understand what these rankings tell us about the world, we need to be able to more easily create and explore them, given the significant scale of today's data...
February 17, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28192675/sentinels-of-breach-lexical-choice-as-a-measure-of-urgency-in-social-media
#15
Andrew J Hampton, Valerie L Shalin
Objective This paper identifies general properties of language style in social media to help identify areas of need in disasters. Background In the search for metrics of need in social media data, much of the existing literature ignores processes of language usage. Psychological concepts, such as narrative breach, Gricean maxims, and lexical marking in cognition, may assist the recovery of disaster-relevant metrics from altered patterns of word prevalence. Method We analyzed several hundred thousand location-specific microblogs from Twitter for Hurricane Sandy, Oklahoma tornadoes, and the Boston Marathon bombing along with a fantasy football control corpus, examining the relative frequency of words in 36 antonym pairs...
June 2017: Human Factors
https://www.readbyqxmd.com/read/28134358/emergence-of-consensus-as-a-modular-to-nested-transition-in-communication-dynamics
#16
Javier Borge-Holthoefer, Raquel A Baños, Carlos Gracia-Lázaro, Yamir Moreno
Online social networks have transformed the way in which humans communicate and interact, leading to a new information ecosystem where people send and receive information through multiple channels, including traditional communication media. Despite many attempts to characterize the structure and dynamics of these techno-social systems, little is known about fundamental aspects such as how collective attention arises and what determines the information life-cycle. Current approaches to these problems either focus on human temporal dynamics or on semiotic dynamics...
January 30, 2017: Scientific Reports
https://www.readbyqxmd.com/read/27999398/sci-fin-visual-mining-spatial-and-temporal-behavior-features-from-social-media
#17
Jiansu Pu, Zhiyao Teng, Rui Gong, Changjiang Wen, Yang Xu
Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users' spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However, the complexity and incompleteness of check-in records bring challenges to achieve such a task. Different from the previous work on social behavior analysis, in this paper, we present a visual analytics system, Social Check-in Fingerprinting (Sci-Fin), to facilitate the analysis and visualization of social check-in data...
December 20, 2016: Sensors
https://www.readbyqxmd.com/read/27992437/prediction-and-characterization-of-high-activity-events-in-social-media-triggered-by-real-world-news
#18
Janani Kalyanam, Mauricio Quezada, Barbara Poblete, Gert Lanckriet
On-line social networks publish information on a high volume of real-world events almost instantly, becoming a primary source for breaking news. Some of these real-world events can end up having a very strong impact on on-line social networks. The effect of such events can be analyzed from several perspectives, one of them being the intensity and characteristics of the collective activity that it produces in the social platform. We research 5,234 real-world news events encompassing 43 million messages discussed on the Twitter microblogging service for approximately 1 year...
2016: PloS One
https://www.readbyqxmd.com/read/27867367/mentalizing-and-information-propagation-through-social-network-evidence-from-a-resting-state-fmri-study
#19
Huijun Zhang, Lei Mo
Microblogs is one of the main social networking channels by which information is spread. Among them, Sina Weibo is one of the largest social networking channels in China. Millions of users repost information from Sina Weibo and share embedded emotion at the same time. The present study investigated participants' propensity to repost microblog messages of positive, negative, or neutral valence, and studied the neural correlates during resting state with the reposting rate of each type microblog messages. Participants preferred to repost negative messages relative to positive and neutral messages...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27649530/inferring-atmospheric-particulate-matter-concentrations-from-chinese-social-media-data
#20
Zhu Tao, Aynne Kokas, Rui Zhang, Daniel S Cohan, Dan Wallach
Although studies have increasingly linked air pollution to specific health outcomes, less well understood is how public perceptions of air quality respond to changing pollutant levels. The growing availability of air pollution measurements and the proliferation of social media provide an opportunity to gauge public discussion of air quality conditions. In this paper, we consider particulate matter (PM) measurements from four Chinese megacities (Beijing, Shanghai, Guangzhou, and Chengdu) together with 112 million posts on Weibo (a popular Chinese microblogging system) from corresponding days in 2011-2013 to identify terms whose frequency was most correlated with PM levels...
2016: PloS One
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