A Dynamic Social Network Software Platform for Counter-Terrorism Decision Support

2007 ◽  
Author(s):  
Richard M. Adler
Keyword(s):  
Social Network ◽  
Decision Support ◽  
Software Platform ◽  
Counter Terrorism ◽  
Dynamic Social Network ◽  
Network Software

Finding Communities and Their Evolutions in Dynamic Social Network

2012 ◽  
Author(s):  
Tianbao Yang ◽  
Shenghuo Zhu ◽  
Yun Chi ◽  
Yihong Gong
Keyword(s):  
Social Network ◽  
Dynamic Social Network

scholarly journals Utility of a Mobile Clinical Decision Support Application in Patients Undergoing Spinal Cord Stimulation.

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Shervin Rahimpour ◽  
Sarah E Hodges ◽  
Luis A Antezana ◽  
Abena A Ansah-Yeboah ◽  
Rajeev Dharmapurikar ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Chronic Pain ◽  
Decision Support ◽  
Patient Reported Outcomes ◽  
Clinical Decision ◽  
Software Platform ◽  
Clinical Specialist ◽  
Mobile Software ◽  
Patient Reported

Abstract INTRODUCTION Novel technologies to support real-time patient education, engagement and scalable outcomes monitoring to make clinically meaningful decisions are needed. The ManageMySurgery (MMS) Spinal Cord Stimulation (SCS) module is a mobile clinical decision support application that provides: (1) a mobile, patient-centered engagement tool for delivering pre-, peri- and postoperative SCS information; (2) scalable patient-reported outcomes collection; (3) a HIPAA-compliant 2-way messaging platform with a Clinical Specialist Educator for real-time support and goal setting. METHODS Prospective data was collected using the MMS mobile smartphone application in patients undergoing Medtronic SCS trial and permanent implant procedures. E-consent was obtained through the HIPAA compliant, mobile software platform. All data was de-identified, aggregated and analyzed. RESULTS A total of 20 patients (15-trial SCS and 5 permanent SCS patients) agreed to participate and logged onto the mobile software platform. For trial SCS patients, 100% of those that participated experienced >50% pain relief as documented in their patient-reported outcomes. Furthermore, patients found various features of the software platform helpful for navigating different aspects of their SCS procedure, with 81% finding MMS helpful in preparing for their SCS procedure, 88% finding MMS helpful in recovering from their SCS procedure and 94% in communicating with their Clinical Specialist Educator. In addition, 95% of patients would recommend MMS to a friend or family member. CONCLUSION The MMS platform appears to have utility both during the SCS Trial and Permanent procedures. In patients with chronic pain, novel patient engagement and follow-up tools such as MMS may be a good option for keeping patients engaged with the therapy and ensuring patients stay on track during their procedural journey. Randomized, controlled trials with extended follow-up are in progress and needed to further evaluate the utility of MMS in patients with chronic pain undergoing SCS.

Limitation of degree information for analyzing the interaction evolution in online social networks

2014 ◽  
Vol 25 (10) ◽  
pp. 1450056 ◽  
Author(s):  
Ke-Ke Shang ◽  
Wei-Sheng Yan ◽  
Xiao-Ke Xu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Services ◽  
Online Social Networks ◽  
Dynamic Network ◽  
Interaction Network ◽  
Strength Distribution ◽  
Customer Churn ◽  
Dynamic Social Network ◽  
Temporal Interactions

Previously many studies on online social networks simply analyze the static topology in which the friend relationship once established, then the links and nodes will not disappear, but this kind of static topology may not accurately reflect temporal interactions on online social services. In this study, we define four types of users and interactions in the interaction (dynamic) network. We found that active, disappeared, new and super nodes (users) have obviously different strength distribution properties and this result also can be revealed by the degree characteristics of the unweighted interaction and friendship (static) networks. However, the active, disappeared, new and super links (interactions) only can be reflected by the strength distribution in the weighted interaction network. This result indicates the limitation of the static topology data on analyzing social network evolutions. In addition, our study uncovers the approximately stable statistics for the dynamic social network in which there are a large variation for users and interaction intensity. Our findings not only verify the correctness of our definitions, but also helped to study the customer churn and evaluate the commercial value of valuable customers in online social networks.

Development of a Science Gateway Software Platform for CCS Decision Support and Stakeholder Engagement

2021 ◽  
Author(s):  
Kevin Ellett ◽  
Jun Wang ◽  
Marcus Christie ◽  
Sudhakar Pamidighantam ◽  
Eroma Abeysinghe ◽  
...  
Keyword(s):  
Decision Support ◽  
Stakeholder Engagement ◽  
Software Platform ◽  
Science Gateway
Sign in / Sign up

Export Citation Format

Share Document