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Xian Teng, Sen Pei, Flaviano Morone, Hernán A Makse
Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called "Collective Influence (CI)" has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes' significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading...
October 26, 2016: Scientific Reports
Raminta Daniulaityte, Lu Chen, Francois R Lamy, Robert G Carlson, Krishnaprasad Thirunarayan, Amit Sheth
BACKGROUND: To harness the full potential of social media for epidemiological surveillance of drug abuse trends, the field needs a greater level of automation in processing and analyzing social media content. OBJECTIVES: The objective of the study is to describe the development of supervised machine-learning techniques for the eDrugTrends platform to automatically classify tweets by type/source of communication (personal, official/media, retail) and sentiment (positive, negative, neutral) expressed in cannabis- and synthetic cannabinoid-related tweets...
October 24, 2016: JMIR Public Health and Surveillance
Emma S Spiro, Andrés Monroy-Hernández
In this paper we examine two protests characterized by substantial social media presence and distributed participation frameworks via two core questions: what roles did organizations and individuals play, and how did participants' social interactions change over the course of the protests? To answer these questions, we analyzed a large Twitter activity dataset for the #YoSoy132 student uprising in Mexico and Brazil's "bus rebellion." Results indicate that individuals initially took prominence at the protests but faded in importance as the movements dwindled and organizations took over...
2016: PloS One
Enrico Ubaldi, Nicola Perra, Márton Karsai, Alessandro Vezzani, Raffaella Burioni, Alessandro Vespignani
The dynamic of social networks is driven by the interplay between diverse mechanisms that still challenge our theoretical and modelling efforts. Amongst them, two are known to play a central role in shaping the networks evolution, namely the heterogeneous propensity of individuals to i) be socially active and ii) establish a new social relationships with their alters. Here, we empirically characterise these two mechanisms in seven real networks describing temporal human interactions in three different settings: scientific collaborations, Twitter mentions, and mobile phone calls...
October 24, 2016: Scientific Reports
Prem N Ramkumar, Ton La, Evan Fisch, Peter D Fabricant, Alexander E White, Kristofer J Jones, Samuel A Taylor
PURPOSE: The purpose of this observational study of social media in sports medicine was to investigate and analyze the presence and shared content of anterior cruciate ligament (ACL) patients, sports surgeons, and top orthopaedic hospitals on popular social media streams. METHODS: A search of 2 public domains (Instagram and Twitter) was performed over a 6-month period. ACL surgery ("#aclsurgery") was selected for the Instagram-based patient analysis after exclusion of veterinary ACL operations...
October 19, 2016: Arthroscopy: the Journal of Arthroscopic & related Surgery
Feifei Xiao, Guoshuai Cai, Heping Zhang
In early 2015, the debate of blue-black and white-gold color perception from "the dress" became an overnight internet phenomenon. According to the vote from the online social network Twitter, more people observed white-gold colors than those who observed blue-black colors. Biological explanations have been proposed by neurologist and other scientists, most of which mainly focus on the bias of color perception from visual cortex assuming different illuminants as backgrounds. The goal of this study was to investigate the genetic reason that might be underlying this phenomenon...
2016: PloS One
Ryan Eshleman, Rahul Singh
BACKGROUND: Adverse drug events (ADEs) constitute one of the leading causes of post-therapeutic death and their identification constitutes an important challenge of modern precision medicine. Unfortunately, the onset and effects of ADEs are often underreported complicating timely intervention. At over 500 million posts per day, Twitter is a commonly used social media platform. The ubiquity of day-to-day personal information exchange on Twitter makes it a promising target for data mining for ADE identification and intervention...
October 6, 2016: BMC Bioinformatics
Alexander S McLawhorn, Ivan De Martino, Keith A Fehring, Peter K Sculco
Utilization of social media both in the private and professional arenas has grown rapidly in the last decade. The rise of social media use within health care can be viewed as the Internet-based corollary of the patient-centered care movement, in which patient perspectives and values are central to the delivery of quality care. For orthopedic surgeons and their practices, general-purpose online social networks, such as Facebook and Twitter, are convenient platforms for marketing, providing patient education and generating referrals...
October 20, 2016: Current Reviews in Musculoskeletal Medicine
J Danielle Sharpe, Richard S Hopkins, Robert L Cook, Catherine W Striley
BACKGROUND: Traditional influenza surveillance relies on influenza-like illness (ILI) syndrome that is reported by health care providers. It primarily captures individuals who seek medical care and misses those who do not. Recently, Web-based data sources have been studied for application to public health surveillance, as there is a growing number of people who search, post, and tweet about their illnesses before seeking medical care. Existing research has shown some promise of using data from Google, Twitter, and Wikipedia to complement traditional surveillance for ILI...
October 20, 2016: JMIR Public Health and Surveillance
(no author information available yet)
Nurses on Twitter.
October 12, 2016: Nursing Standard
Jimmie Leppink, Patricia O'Sullivan, Kal Winston
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researchers alike increase awareness of how to use statistics and why/how we fall into inappropriate choices or interpretations. We hope to help readers understand common misconceptions and give clear guidance on how to avoid common pitfalls by offering simple tips to improve your reporting of quantitative research findings. Each entry discusses a commonly encountered inappropriate practice and alternatives from a pragmatic perspective with minimal mathematics involved...
October 17, 2016: Perspectives on Medical Education
Waleed Alrogy, Dunia Jawdat, Muhannad Alsemari, Abdulrahman Alharbi, Abdullah Alasaad, Ali H Hajeer
Organ transplantation is recognized worldwide as an effective treatment for organ failure. However, due to the increase in the number of patients requiring a transplant, a shortage of suitable organs for transplantation has become a global problem. Human organ trade is an illegal practice of buying or selling organs and is universally sentenced. The aim of this study was to search social network for organ trade and offerings in Saudi Arabia. The study was conducted from June 22, 2015 to February 19, 2016. The search was conducted on Twitter, Google answers, and Facebook using the following terms: kidney for sale, kidneys for sale, liver for sale, kidney wanted, liver wanted, kidney donor, and liver donor...
September 2016: Saudi Journal of Kidney Diseases and Transplantation
Quynh C Nguyen, Dapeng Li, Hsien-Wen Meng, Suraj Kath, Elaine Nsoesie, Feifei Li, Ming Wen
BACKGROUND: Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. OBJECTIVE: The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors...
October 17, 2016: JMIR Public Health and Surveillance
(no author information available yet)
Nurses on Twitter.
September 14, 2016: Nursing Standard
Hongying Dai, Michael J Deem, Jianqiang Hao
OBJECTIVES: Studies have identified a proliferation of e-cigarette advertisements on Twitter. We investigate whether the prevalence of e-cigarette related advertising is associated with state tobacco regulations after taking socio-economic characteristics into account. METHODS: We collected e-cigarette related tweets from July 23 to October 14, 2015 (n = 757,167) on Twitter. State regulations and smoking prevalence were provided by the Campaign for Tobacco-Free Kids program...
October 14, 2016: International Journal of Public Health
Kimberley Collins, David Shiffman, Jenny Rock
Social media has created networked communication channels that facilitate interactions and allow information to proliferate within professional academic communities as well as in informal social circumstances. A significant contemporary discussion in the field of science communication is how scientists are using (or might use) social media to communicate their research. This includes the role of social media in facilitating the exchange of knowledge internally within and among scientific communities, as well as externally for outreach to engage the public...
2016: PloS One
Bradley J Bond
Social media have permeated the lives of adolescents and may be altering the way that teens engage with their favorite media celebrities and characters. This study surveyed 316 adolescents to examine the relationship between social media surveillance and the strength of adolescents' parasocial relationships (PSRs) with media personae they follow on social media. Results indicated a significant positive relationship between exposure to media personae on Twitter and strength of PSRs. Adolescents who had experienced social interactions with their favorite media personae on Twitter in the form of retweets or responses to tweets had stronger PSRs than adolescents who had no such interactions...
October 12, 2016: Cyberpsychology, Behavior and Social Networking
David A Baker, Guillermo Perez Algorta
Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n = 30) adds to existing research in this field by examining current quantitative studies focused on the relationship between online social networking and symptoms of depression...
October 12, 2016: Cyberpsychology, Behavior and Social Networking
Devin Singh, Fahad Alam, Clyde Matava
BACKGROUND: Audio and video podcasts have gained popularity in recent years. Increasingly, podcasts are being used in the field of medicine as a tool to disseminate information. This format has multiple advantages including highly accessible creation tools, low distribution costs, and portability for the user. However, despite its ongoing use in medical education, there are no data describing factors associated with the success or quality of podcasts. OBJECTIVE: The goal of the study was to assess the landscape of anesthesia podcasts in Canada and develop a methodology for evaluating the quality of the podcast...
August 17, 2016: JMIR Med Educ
Hana Alsobayel
BACKGROUND: Social media can be used in health care settings to enhance professional networking and education; patient communication, care, and education; public health programs; organizational promotion; and research. OBJECTIVE: The aim of this study was to explore the use of social media networks for the purpose of professional development among health care professionals in Saudi Arabia using a purpose-designed Web-based survey. METHODS: A cross-sectional web-based survey was undertaken...
September 12, 2016: JMIR Med Educ
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