Results 31 to 40 of about 578,628 (285)

Analysis of research on metabolic syndrome in cancer survivors using topic modeling and social network analysis

Science Progress, 2021
This study aimed to identify the relationships between the keywords of research on metabolic syndrome in cancer survivors and the entire knowledge research structure, through topic extraction from a macro perspective.
Ji-Su Kim, Hyejin Kim, Eunkyung Lee, Yeji Seo   +3 more
doaj   +1 more source

Hashtag Analysis of Indonesian COVID-19 Tweets Using Social Network Analysis

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Social media has become more critical for people to communicate about the pandemic of COVID-19. In social media, hashtags are social annotations which often used to denote message content.
Muhammad Habibi, Adri Priadana, Muhammad Rifqi Ma'arif   +2 more
doaj   +1 more source

Efficient computation of the Shapley value for game-theoretic network centrality [PDF]

, 2013
The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in net-works.
Michalak, T, Piotr L. Szczepański, Aaditha, K. V., Szczepanski, P. L., Balaraman Ravindran, Tomasz P. Michalak, Jennings, N. R., Aaditha, KV, Nicholas R. Jennings, Michalak, Tomasz, Karthik V. Aadithya, Ravindran, B, Jennings, NR, Szczepanski, PL   +13 more
core   +1 more source

IES-Backbone: An Interactive Edge Selection Based Backbone Method for Small World Network Visualization

IEEE Access, 2019
Visualization of the small world network is an excellent challenge for classic layout algorithm, which is highly connected, resulting in the shape of the hairball.
Cheng Zhan, Daobing Zhang, Yang Wang, Daoyu Lin, Hui Wang   +4 more
doaj   +1 more source

Dynamic network centrality summarizes learning in human brain [PDF]

, 2013
We study functional activity in the human brain using functional Magnetic Resonance Imaging and recently developed tools from network science. The data arise from the performance of a simple behavioural motor learning task.
Bassett, Danielle S., Mantzaris, A V, Grafton, Scott T., Higham, Desmond, Scott T. Grafton, Porter, M A, Porter, Mason A., Alexander V. Mantzaris, Peter J. Mucha, Wymbs, N F, Mucha, P J, Mason A. Porter, Mucha, Peter J., Grafton, S T, Estrada, E, Mantzaris, Alexander Vassilios, Wymbs, Nicholas F., Estrada, Ernesto, Danielle S. Bassett, Nicholas F. Wymbs, Bassett, D S, Desmond J. Higham, Ernesto Estrada   +22 more
core   +4 more sources

Information visualization on interactive tabletops in work vs. public settings [PDF]

, 2015
Digital tabletop displays and other large interactive displays have recently become more affordable and commonplace. Due to their benefits for supporting collaborative work—when compared to current desktop-based setups—they will likely be integrated in ...
Hinrichs, Uta, Tobiasz, Matthew, Hancock, Mark, Carpendale, Sheelagh, Isenberg, Petra   +4 more
core   +2 more sources

Efficient Computation of the Shapley Value for Centrality in Networks

, 2010
The Shapley Value is arguably the most important normative solution concept in coalitional games. One of its applications is in the domain of networks, where the Shapley Value is used to measure the relative importance of individual nodes.
Michalak, Tomasz P, Michalak, Tomasz P., Ravindran, Balaraman, Aadithya, Karthik V., Nicholas R. Jennings, Jennings, Nicholas R., Jennings, Nicholas R, Aadithya, Karthik V, Karthik V. Aadithya, Balaraman Ravindran, Tomasz P. Michalak   +10 more
core   +2 more sources

CGNLib: A Python library for Girvan–Newman community detection with customizable node-based centrality metrics

SoftwareX
CGNLib is a Python library designed to enhance the performance of community detection in networks using the Girvan–Newman algorithm. Traditional implementations of this algorithm typically rely solely on edge betweenness centrality, limiting the ...
T. Punnapathiran, C. Angsuchotmetee, P. Kaewkarndee, K. Lavangnananda   +3 more
doaj   +1 more source

DATA VISUALISASI SEBAGAI PENDUKUNG INVESTIGASI MEDIA SOSIAL

Ilkom Jurnal Ilmiah, 2019
Social media is an application that can make everyone interact with each other and can consume information by sharing content quickly, efficiently and real time.
Suwito Pomalingo, Bambang Sugiantoro, Yudi Prayudi   +2 more
doaj   +1 more source

Analysis of causes for coal mine gas accidents based on text mining method

Meikuang Anquan, 2022
In order to scientifically prevent and control the accident of coal mine gas, it is necessary to clarify the causes of coal mine gas accidents so as to take corresponding control measures.
TIAN Shuicheng, HUANG Quan
doaj   +1 more source