Search

Your search keyword '"Sharma, Rajesh"' showing total 24 results
Start Over Author "Sharma, Rajesh" Topic business
24 results on '"Sharma, Rajesh"'

4. Evaluation of atmospheric-pressure plasma for improving photoelectrochemical response of Titania photoanodes

Author

Sharma, Rajesh, Bock, Jacob Paul, Biris, Alexandru S., Mazumder, Malay K., Das, Prajna P., Misra, Manoranjan, and Mahajan, Vishal K.

Subjects
Titanium dioxide -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A synergistic combination of nanostructure synthesis and surface engineering was used to enhance the photoelectrochemical activity of titanium dioxide (Ti[O.sub.2]) photoanodes. Titania nanotubular arrays were synthesized by electrochemical anodization of Ti thin foils. An atmospheric-pressure helium plasma followed by exposure to nitrogen was used to modify the surface properties of Ti[O.sub.2] nanotubes. The photocurrent from plasma-treated samples was approximately 25% higher than that from untreated samples. This increase in photoactivity could be ascribed to the following: 1) increased absorption of visible light due to bandgap reduction; 2) efficient charge separation; 3) production of optimal oxygen vacancies; and 4) increased surface area and, hence, enhanced electrode-electrolyte area to provide maximum optical adsorption and efficient charge transfer. The diffused reflectance Ultraviolet-visible (DR-UV-Vis) absorption spectra indicated a marginal increase in absorbance for the plasma-treated samples in the visible region, suggesting a change in surface electronic structure, although bulk electronic properties remain unchanged during plasma treatment. Index Terms--Doping, hydrogen generation, photoelectrochemical, plasma treatment, titanium dioxide (Ti[O.sub.2]).

Published
2009

5. Experimental evaluation and analysis of electrodynamic screen as dust mitigation technology for future Mars missions

Author

Sharma, Rajesh, Wyatt, Christopher A., Zhang, Jing, Calle, Carlos I., Mardesich, Nick, and Mazumder, Malay K.

Subjects
Climatic changes -- Analysis, Electrodynamics -- Analysis, Mars (Planet) -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The electrodynamic screen (EDS) is considered to be one of the feasible dust mitigation technologies for future Mars missions. In this paper, the performance of EDS for surface cleaning was characterized with respect to the following operational parameters: 1) the efficiency of screens under both continuous and intermittent operations with different rates of dust deposition; 2) electrical power requirements for the screen operation with respect to dust removal efficiency (DRE), frequency, and excitation frequency; and 3) the optical transmission efficiency of the transparent EDSs and the corresponding power loss, when these screens were placed on solar panels. The average DRE of EDS during continuous dust loading was over 95%, whereas it was 90 % when the screen was activated intermittently. Power consumption by EDS, as well as the size and weight of the power supply, is one of the critical factors for its applicability for dust removal from solar panels during future Mars mission. The power consumption by EDS was measured under several dust loadings and using different frequencies and electrical field intensities for the safe operation of power supplies without Paschen breakdown. Experiments were conducted under simulated Martian atmosphere (5.0 mb C[O.sub.2] atmosphere) using a screen with an active surface area of 59 [cm.sup.2]. The average power consumption of screen varied between 1.02 and 2.87 mW. The optical transmission efficiency for a transparent EDS (PET substrate with indium tin oxide electrodes) was measured for a PET screen with ITO electrodes. It was found that placing the transparent EDS on a typical space-type solar panel resulted in a significant obscuration. The power output of the solar panel decreased by 15%. Index Terms--Dust mitigation technologies, electrodynamics, Mars dust simulant, power consumption, traveling wave.

Published
2009

6. Tribocharging characteristics of the Mars dust simulant (JSC Mars-1)

Author

Sharma, Rajesh, Clark, David W., Srirama, Praveen K., and Mazumder, Malay K.

Subjects
Tribology -- Research, Cosmic dust -- Electric properties, Cosmic dust -- Mechanical properties, Electrostatics -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The determination of triboelectric properties of the Martian dust would be critical for future human and robotic missions to Mars. Several major studies relating to future missions to Mars have highlighted the significance of electrostatic charge accumulation and its impact on various aspects of the mission due to tribocharging of the Mars dust. The tribocharging properties of the Mars dust simulant (JSC Mars-1) against stainless steel and Teflon were characterized. An electronic single particle aerodynamic relaxation time (ESPART) analyzer was used to measure the aerodynamic size and charge distributions of the dust particles. Faraday cup measurements were used for calculating average charge-to-mass ratio. The average charge-to-mass ratio of dust tribocharged against stainless steel (SS) was -1.19 [micro]C/g, whereas it was found to be +1.21 [micro]/g against Teflon (PTFE). These results indicated that the work function of the JSC Mars-1 lies between that of the SS and Teflon. Index Terms--Charge-to-mass, Mars dust simulant, particle size distribution, tribocharging, work function.

Published
2008

7. Human migration: the big data perspective

Author

Sîrbu, Alina, Gennady, •, Natalia, Andrienko, Chiara Boldrini, Andrienko, Conti, Marco, Giannotti, Fosca, Guidotti, Riccardo, BERTOLI, Simone, Jisu, •, Cristina, Kim, Muntean, Ioana, Pappalardo, Luca, Passarella, Andrea, Pedreschi, Dino, Pollacci, Laura, Pratesi, Francesca, Sharma, Rajesh, Andrienko, Gennady, Andrienko, Natalia, Boldrini, Chiara, Muntean, Cristina Ioana, Kim, Jisu, Université Clermont Auvergne (UCA), and Publica

Subjects
QA75, data science, human migration, Index (economics), Computer science, Big data, integration, 02 engineering and technology, Phase (combat), Data science, JV, big data, Phenomenon, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Human migration, 050207 economics, [SHS.SOCIO]Humanities and Social Sciences/Sociology, business.industry, Applied Mathematics, GA, 05 social sciences, Perspective (graphical), migration stocks, migration flows, GF, return of migrants, Human migration Big data Migration flows Migration stocks Integration Return of migrants, Computer Science Applications, Management information systems, Computational Theory and Mathematics, Modeling and Simulation, 020201 artificial intelligence & image processing, business, Information Systems
Abstract

How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing traditional and novel data sources and models at each phase. We concentrate on three phases of migration, at each phase describing the state of the art and recent developments and ideas. The first phase includes the journey, and we study migration flows and stocks, providing examples where big data can have an impact. The second phase discusses the stay, i.e. migrant integration in the destination country. We explore various data sets and models that can be used to quantify and understand migrant integration, with the final aim of providing the basis for the construction of a novel multi-level integration index. The last phase is related to the effects of migration on the source countries and the return of migrants.

Published
2020

8. Leaf area index retrieval using IRS LISS-III sensor data and validation of the MODIS LAI product over Central India

Author

Pandya, Mehul R., Singh, Raghavendra P., Chaudhari, Karshan N., Bairagi, Govind D., Sharma, Rajesh, Dadhwal, Vinay K., and Parihar, Jai Singh

Subjects
Algorithms -- Technology application, Remote sensing -- Research, Algorithm, Technology application, Business, Earth sciences, Electronics and electrical industries
Abstract

This paper reports results on the LAI Retrieval and Validation Experiment (LRVE) that was conducted for two agricultural areas in Central India during the winter season of 2001-2002. The study aimed at relating field measurements of leaf area index (LAI) [o spaceborne Indian Remote Sensing Satellite (IRS) Linear Imaging Self Scanning Sensor-III (LISS-III) data, preparation of site-level LAI maps, and validation of Moderate Resolution Imaging Spectroradiometer (MODIS) 1-km LAI global fields. Measurements of field-level LAI, aerosol optical thickness and water vapor were carried out on the day of LISS-III overpasses. Empirical models based on the site-specific LAI--vegetation index relation were developed and used to generate 23-m resolution LAI maps for two sites (Indore and Bhopal) covering 30 km x 30 km. These LAI images were degraded to 1-km spatial resolution and used for validation of the version 3 and 4 MODIS LAI products (MOD15A2). The results indicate a positive correlation (r = 0.78) between LAI derived from LISS-III data and MODIS data. However an overestimate by a factor of 1.6 to 2.5 in the version 3 MODIS product is observed with root mean square error (RMSE) ranging from 0.20 to 1.26. The factor of overestimation reduces significantly by 50% and RMSE by 40% when version 4 MODIS LAI was analyzed. The improvement in accuracy was observed to be associated with the change in algorithm path adopted for retrieving version 3 and 4 MODIS LAI. Analysis of the MODIS land cover product that is an input in the MODIS LAI retrieval algorithm indicated errors in assigning land cover classes for the study sites, which could be one of the sources of error in MODIS LAI product. Index Terms--Aerosol optical thickness (AOT), crops, Indian Remote Sensing satellite (IRS), leaf area index (LAI), Linear Imaging Self-Scanning Sensor (LISS), Moderate Resolution Imaging Spectroradiometer (MODIS), normalized difference vegetation index (NDVI), remote sensing, retrieval, validation.

Published
2006

9. Plasma-assisted activation of supported Au and Pd catalysts for CO oxidation

Author

Sharma, Rajesh, Rimmer, R. Dale, Gunamgari, Jyothsna, Shekhawat, Ritu S., Davis, Brandon J., Mazumder, Malay K., and Lindquist, David A.

Subjects
Plasma physics -- Research, Catalysts -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A nonthermal atmospheric pressure helium plasma was used for catalyst activation. The CO oxidation activity of alumina-supported Au and Pd catalyst was monitored using a gas chromatograph before and after plasma treatment. Catalysts were prepared by incipient wetness impregnation of Au and Pd salts on alumina. The plasma-treated Au catalyst converted 78% CO to C[O.sub.2] as compared to 45% in the case of untreated catalyst at room temperature. Similarly, plasma-treated Pd catalysts demonstrated improved performance at 100[degrees]C and 150[degrees]C. At 100[degrees]C, 16% conversion was achieved with the plasma-treated catalyst whereas there was no conversion with untreated catalyst. The conversion increased to 82% as compared to 44% for the untreated sample at 150[degrees]C. At 200[degrees]C both untreated as well as plasma-treated samples achieved nearly 100% conversion. Index Terms--Alumina, atmospheric-pressure plasma reactor, catalyst, CO oxidation, plasma treatment, surface modification.

Published
2005

10. Measurement of permittivity and dielectric loss in 2,4-dimethyl substituted pridine using microwave cavity spectrometer and time domain reflectometer

Author

Saxena, Saumya, Sharma, Rajesh, Johri, Manoj, Johri, Sanjeev, and Johri, Gajendra K.

Subjects
Business, Electronics, Electronics and electrical industries
Abstract

Microwave cavity spectrometer and time domain reflectometer is used to measure the permittivity and dielectric loss at different temperatures in 2,4-dimethyl substituted pyridine. The observed data of the width of resonance profile and the shift in the resonance frequency have been analyzed using Slater perturbation equations for cavity spectrometer. The dielectric parameters measured from the time domain reflectometer as a function of time at different temperatures have been transformed to frequency domain to obtain the permittivity and dielectric loss. The observed values of the permittivity and dielectric loss at 9.0 GHz are fitted in Slater's perturbation equations to obtain the form factor, which represents interactions. The relaxation time has been evaluated at different temperatures using the ratio of width and twice of frequency shift and thermodynamical parameters have been determined. This experimental study provides fruitful information about the bulk properties of 2,4-dimethyl substituted pyridine. Index Terms--Dielectric permittivity, dielectric loss, organic liquids, frequency domain, microwave cavity spectrometer, time domain reflectometer.

Published
2004

11. Dielectric response in dimethyl substituted pyridines using microwave cavity spectrometer

Author

Johri, Gajendra K., Johri, Manoj, Sharma, Rajesh, Johri, Sanjeev, and Saxena, Saumya

Subjects
Pyridine, Dielectric measurements, Intermolecular forces -- Analysis, Microwaves -- Usage, Business, Electronics, Electronics and electrical industries
Abstract

A study of the dielectric response of dimethyl substituted pyridines (lutidines) has been reported in the temperature range 293-323 K. The microwave cavity spectrometer has been used to measure the relative shift, width and amplitude of the resonance profile for the sample loaded in the cavity operated in T[M.sub.010] mode at a fixed frequency of 9.0 GHz. The Slater's perturbation equations are used to analyze the measured data and permittivity and dielectric loss have been obtained using interaction form factor. Significant effect in the dielectric response and interaction has been found due to change of the position of the--C[H.sub.3] functional groups. Index Terms--Dielectric relaxation, molecular interaction, intermolecular forces, dielectric insulation, microwave absorption, bulk properties, relaxation mechanism, thermodynamical properties, organic liquids, macroscopic structure.

Published
2003

12. Effect of ambient relative humidity and surface modification on the charge decay properties of polymer powders in powder coating

Author

Sharma, Rajesh, Trigwell, Steve, Biris, Alexandru S., Sims, Robert A., and Mazumder, Malay K.

Subjects
Humidity, Plasma spraying, Powder coatings, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Back corona on a powder layer deposited via the electrostatic powder-coating process using corona guns has a strong influence on the corrosion resistance and appearance of cured powder films. The presence of the back corona is often evidenced by orange peel, micro-dents, and pinholes on the film surface. The surface resistivity of the sprayed powder governs the charge decay process and, hence, the onset of back corona. The polymer powders used in powder coating are highly resistive, with surface resistivity often greater than [10.sup.15] [OMEGA]/[??]. Surface resistivity can be altered by the adsorption of moisture on the surfaces of the powder particles. The objectives of this research were: 1) investigate the effect of decreasing surface resistivity on the appearance of the powder-coated film and 2) enhance hydrophilic properties of polymer powder by plasma treatment. By changing the relative humidity (RH) of powder during the spraying process, it was observed that the surface resistivity could be lowered by orders of magnitude. For example, the surface resistivity for an acrylic powder decreased from 2.96 x [10.sup.13] [OMEGA]/[??] at 25% RH to 9.6 x [10.sup.11] [OMEGA]/[??] at 70% RH. The plasma treatment of this powder further improved its charge decay properties. The effects of variation of RH on the appearance of powder-coated panels surface layer are presented for an acrylic polymer powder. The film texture has been characterized by microstructural surface analysis using an optical scanning instrument. Methods of plasma and corona treatments of the powder for increasing moisture adsorption on the surface and decreasing surface resistivity are discussed along with analysis of surface morphology using the atomic force microscope. Index Terms--Back corona, charge decay, plasma treatment, powder coating, powder resistivity, relative humidity (RH).

Published
2003

13. Effects of surface properties on the tribocharging characteristics of polymer powder as applied to industrial processes

Author

Trigwell, Steve, Grable, Nick, Yurteri, Caner U., Sharma, Rajesh, and Mazumder, Malay K.

Subjects
Powder coatings, Ultraviolet spectroscopy, X-ray spectroscopy, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Experiments performed on different powders of different size distributions tribocharged with stainless-steel (SS) beads showed the charge acquired by the powder could be correlated with the actual work function difference between the powder and SS. Ultraviolet and X-ray photoelectron spectroscopy were performed on various materials involved, and showed the work function increased with surface contamination and oxidation, and the difference narrowed for metals and polymers. Such a small difference in work function may contribute to bipolar charging. Experiment data showed that while charge acquired increased with particle size, the charge distribution was generally bipolar. Both surface analysis and charge distribution studies suggest that for tribocharging, minimization of oxidation and surface contamination are needed. It also appears that the relative humidity must also be controlled to obtain reliable tribocharging. Semiempirical molecular modeling calculations of the work function of several polymers showed good agreement with experiment. Surface plasma treatment is presented as a viable method for modifying the work function. Index Terms--Bipolar charge distribution, powder coating, tribocharging, ultraviolet photoelectron spectroscopy (UPS), work function, X-ray photoelectron spectroscopy (XPS).

Published
2003

14. Analysis of momentum adaptive filtering algorithms

Author

Sharma, Rajesh, Sethares, William A., and Bucklew, James A.

Subjects
Least squares -- Usage, Filtering (Electronics) -- Models, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The momentum least mean squares (MLMS) method algorithm and other momentum algorithms were examined by asymptotic procedures that provide data concerning the almost sure behavior of the parameter estimates and their asymptotic distribution. Asymptotic results were obtained for the MLMS and other momentum algorithms. The effect of the momentum factor on convergence was investigated and equations for the asymptotic distribution of the parameter estimates were derived.

Published
1998

15. Stochastic analysis of the sigma-delta modulator and differential pulse code modulator

Author

Sharma, Rajesh, Bucklew, James A., and Sethares, William A.

Subjects
Modulators (Electronics) -- Research, Pulse code modulation -- Research, Analog to digital converters -- Research, Stochastic analysis -- Methods, Noise reduction systems (Electronics) -- Research, Business, Computers and office automation industries, Electronics, Electronics and electrical industries
Abstract

One of the most popular systems for performing high resolution analog to digital conversion is the [Sigma][Delta] modulator. Though common in applications, theoretical analysis of the [Sigma][Delta] modulator is difficult due to the presence of a discontinuous quantizer in the modulator. This paper presents asymptotic results regarding the statistical behavior of the [Sigma][Delta] modulator when inside the loop dithering is utilized. In some recent papers examining the stochastic behavior of the [Sigma][Delta]. it was shown (via simulations) that the input to the quantizer can be accurately modeled as a stationary Gaussian process. Our analysis shows that both the input to the quantizer and the quantization noise are asymptotically stationary Gaussian processes, under mild assumptions on the input and the dither process. The results of this paper are derived by letting the quantizer stepsize approach zero, and the analytical approach is related to the stochastic analysis of adaptive filtering algorithms. Our analysis is valid for a large collection of stochastic input signals, including ARMA processes. Furthermore, previous stochastic analysis assumed that the quantizer never overloaded, while the present analysis does not make this assumption. It is also shown that analysis of the Differential Pulse Code Modulator is in fact analogous to the analysis of the [Sigma][Delta] modulator. Simulation results presented for the first-order [Sigma][Delta] modulator and two second-order [Sigma][Delta] modulators demonstrate the practicality of the analysis. Index Terms - Adaptive algorithms, analog to digital converters, differential pulse code modulators, noise shaping systems, oversampling data converters, sigma-delta ([Sigma][Delta]) modulators.

Published
1997

16. Asymptotic analysis of stochastic gradient-based adaptive filtering algorithms with general cost functions

Author

Sharma, Rajesh, Sethares, William A., and Bucklew, James A.

Subjects
Filtering (Electronics) -- Research, Algorithms -- Analysis, Asymptotic expansions -- Usage, Stochastic systems -- Analysis, Business, Computers, Electronics, Electronics and electrical industries
Abstract

The asymptotic analysis of stochastic gradient-based fixed step-size adaptive filtering algorithms holds under moderate assumptions on the cost function, inputs, and initial starting point. The method provides a sure parameter estimation, and certain exponential bounds on their rate of convergence. The parameter estimates for small step-size are confined within a small neighborhood for a finite interval of time. Whereas, the asymptotic parameter estimation results in a Gaussian distribution. The momentum factor and leakage parameter affecting convergence and stability are detailed.

Published
1996

17. Large modular structures for adaptive beamforming and the Gram-Schmidt preprocessor

Author

Sharma, Rajesh and Veen, Barry D. Van.

Subjects
Modular construction -- Research, Compilers -- Research, Business, Computers, Electronics, Electronics and electrical industries
Abstract

Use of a vector space approach to derive modular structure for constrained minimum variance beamforming removes complex algebra and reinforces the concept of a link between modular structure and the Gram-Schmidt preprocessor. The factorization of the orthogonal projection operator in Hilbert space yields the modular structure. The Gram-Schmidt preprocessor is a special form of modular decomposition.

Published
1994

18. Toward a total federal e-acquisition solution: why GSA's Integrated Acquisition Environment (IAE) is an important, yet separate component of agency e-acquisition systems

Author

Zapfel, Gene, McLaren, Colin, and Sharma, Rajesh

Subjects
United States. General Services Administration -- Information management, United States. General Services Administration -- Purchasing, Electronic commerce -- Forecasts and trends, Electronic commerce -- Usage, Administrative agencies -- Information management, Administrative agencies -- Purchasing, Government purchasing -- Evaluation, Electronic commerce, Company systems management, Market trend/market analysis, Business, Business, general
Abstract

At least 10, and likely many more, federal government agencies are currently implementing e-acquisition systems in order to improve and streamline their acquisition operations. At the same time, the U.S. [...]

Published
2003

19. Innovative recycling of vegetable protein waste for increased crop productivity

Author

Sharma, Rajesh K., Yadav, Karm Raj, and Kothari, R.M.

Subjects
Recycling (Waste, etc.) -- Research, Food processing plants -- Waste management, Agricultural innovations -- Analysis, Plant growth promoting substances -- Research, Agricultural chemicals -- Innovations, Business, Business, general, High technology industry
Abstract

A study compares the performance of an indigenously prepared plant growth regulator (PGR-101) with an imported brand of the same type (PGR-A) on rice, moong bean and okra species. Data was collected for chlorophyll content, leaf moisture, leaf weight per plant, leaf area, plant height and crop yields. Results showed a 40% increase in the production rates of rice and okra and a 14% increase in moong beans. PGR-101 was obtained through a method of vegetable protein waste recycling. As such, it offers a cost-effective means of generating extra fodder for livestock.

Published
1994

20. Innovative application of corn steep liquor for the increased production of food grains

Author

Sharma, Rajesh K. and Kothari, R.M.

Subjects
Agricultural innovations -- Demographic aspects, Liquors -- Usage, Agricultural productivity -- Methods, Grain -- Production management, Business, Business, general, High technology industry
Abstract

Rsearch shows that yields of rice, wheat and moong bean can be improved both qualitatively and quantitatively by spraying with corn steep liquor (CSL) and Aminos. CSL, which is a by-product in corn starch production, was tested as a crop enhancer in India wheere almost 90% of the rural population is agriculturally dependent. A high yielding variety of each grain was planted in a 100-square meter plot and sprayed with either water, CSL or Aminos. Test results showed that CSL can be effectively and economically used as a crop enhancer, replacing the expensive imported Aminos.

Published
1992

21. A Large Scale Study to Understand the Relation between Twitter and Financial Market

Author

Rajesh Sharma, Lorenzo Cazzoli, Michele Treccani, Fabrizio Lillo, xxxxx, Cazzoli, Lorenzo, Sharma, Rajesh, Treccani, Michele, Lillo, Fabrizio, Cazzoli Lorenzo, Sharma Rajesh, Treccani Michele, and Lillo Fabrizio

Subjects
Relation (database), Financial market, Sentiment analysis, Twitter, Correlation, Stock markets, Sentiment analysis, Organizations, Statistical analysis, Indexes, Advertising, 02 engineering and technology, Empirical research, Quantitative analysis (finance), 020204 information systems, Wisdom of the crowd, Scale (social sciences), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Statistical analysis, Business
Abstract

Twitter has transformed from an online platform for communication to a mega content generator for all kinds of topics. The topic of posts (or tweets) generated on Twitter cover diverse topics of interests. For example, politics, public personalities, events and corporate organizations. In this study, we analysed if tweets related to corporate organizations can predict the financial market. Our analysis is performed on a Twitter dataset which spans over more than two years and is related to more than 1723 stocks. To the best of our knowledge this amount of large and big dataset, specifically in terms of time length and stocks has not been studied in the past. Our quantitative analysis shows that on an average correlation between tweets and stocks' volume being traded is 0.29 on an average. In this empirical study, we also evaluated the stocks from Yahoo's sectors' categories perspective to find which sectors are more correlated than others. We also looked at the influence of important users, that is users with a large number of followers. Our results ally with the fact that important users contribute more in influencing the market [3] rather than the wisdom of the crowd [6]. The verification of our results using statistical approaches on a large dataset can be seen as a contribution in the area of financial studies using data from online platforms.

Published
2016

22. Investigating Similarity of Nodes' Attributes in Topological Based Communities

Author

Rajesh Sharma, Danilo Montesi, Sharma Rajesh, and Montesi Danilo

Subjects
Social network, Computer science, business.industry, Social network analysi, Attributed networks, Social network analysis (criminology), Network science, 02 engineering and technology, Topology, Domain (software engineering), Similarity (network science), Community analysi, 020204 information systems, Community analysis, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Topology (chemistry)
Abstract

One of the important problems in the domain of network science is the community detection. In the past, various topological based community detection algorithms have been proposed. Recently, researchers have taken into account at- tributes of the nodes while proposing community detection algorithms. In this work, we investigate if the nodes in a community, identified through topology based algorithms al- so exhibit attribute similarity. Using four different kinds of similarity metrics, we analyse the attribute similarity of the nodes within the communities derived using five different types of topological based community detection algorithms. Based on our analysis of three real social network datasets, we found on an average of 50% attribute similarity among the nodes in the communities.

Published
2018

23. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015 : a systematic analysis for the Global Burden of Disease Study 2015

Author

Vasiliki Stathopoulou, Kiran Thapa, Vesper Hichilombwe Chisumpa, Azeem Majeed, Hjalte Holm Andersen, Devasahayam J. Christopher, Alireza Mohammadi, John J. McGrath, Konstantin Kazanjan, Naohiro Yonemoto, Guoqing Hu, Yousef Khader, Suzanne Barker-Collo, Frida Namnyak Ngalesoni, Jennifer O Lam, Laetitia Huiart, Xiaofeng Liang, Amanuel Tesfay Gebremedhin, Lalit Dandona, Felix Masiye, Joseph R Fitchett, Derrick A Bennett, Rosana E. Norman, Theo Vos, Tuomo J. Meretoja, Rahman Shiri, Melvin Barrientos Marzan, Charles R. Newton, Kelly Cercy, Masoud Vaezghasemi, Elena Alvarez Martin, Christopher Troeger, Ismael R. Campos-Nonato, Amany H Refaat, Ruben Castro, Amiran Gamkrelidze, Michael R. Phillips, Samath D Dharmaratne, Reed J D Sorensen, Roderick J. Hay, Johan Ärnlöv, Ivo Rakovac, Alexandra Brazinova, Nancy Fullman, Sara Sheikhbahaei, Liliana G Ciobanu, Nader Jahanmehr, Yuming Guo, Luigi Naldi, Rana Jawad Asghar, Tsegaye Tewelde Gebrehiwot, Corine Karema, Biju Abraham, Rynaz H S Rabiee, Emerito Jose A. Faraon, Philimon Gona, Jonathan I. Silverberg, Alexandria Brown, Kovin Naidoo, Suleman Atique, Yun Jin Kim, Benn Sartorius, Hwashin Hyun Shin, George Mugambage Ruhago, Adugnaw Berhane, Tesfaye Tekle, Abdur Rahman Khan, Vipin Gupta, Nima Hafezi-Nejad, Héctor Gómez-Dantés, Jun She, Ted R. Miller, Tolesa Bekele, Yohannes Kinfu, Srinivas Murthy, Alaa Badawi, Mahfuzar Rahman, Raghib Ali, Robert G. Weintraub, Nicholas Steel, Khalid A Altirkawi, Muhammad Imran Nisar, Man Mohan Mehndiratta, Thomas N. Williams, Adrian Davis, Usha Ram, Nobuyuki Horita, Qingyang Xiao, Bishal Gyawali, Burcu Kucuk Bicer, Eun-Kee Park, Subas Neupane, Mohammad Tavakkoli, Lorenzo Monasta, Roman Topor-Madry, Marc-Alain Widdowson, James Leigh, Padukudru Anand Mahesh, Stephen M. Amrock, Stefan Ma, Virendra Singh, Amir Kasaeian, Mahdi Mahdavi, Shahrzad Bazargan-Hejazi, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Julio Cesar Campuzano, Maria Dolores Sanchez-Niño, Jean B. Nachega, Hamid Asayesh, Pratik Pinal Doshi, Charles Shey Wiysonge, Peter J. Hotez, Ying Jiang, Girma Temam Shifa, Warren D. Lo, Francis Apolinary Mhimbira, Joan B. Soriano, Ritul Kamal, Young-Ho Khang, Isaac Akinkunmi Adedeji, Daniel C Casey, Adeladza Kofi Amegah, Demewoz Haile, Tomi Akinyemiju, Andrew L. Thorne-Lyman, Achala Upendra Jayatilleke, Rajeev Gupta, Rosario Cárdenas, Peter W. Gething, Ami R. Moore, Marie Ng, Maigeng Zhou, Ferrán Catalá-López, Anders Larsson, Ratilal Lalloo, Panniyammakal Jeemon, Bach Xuan Tran, Chigozie Jesse Uneke, Marina Shakh-Nazarova, Jamie Hancock, Yohannes Adama Melaku, Jasvinder A. Singh, Isabela M. Benseñor, Shafiu Mohammed, Rajiv Chowdhury, Hedyeh Ebrahimi, Yoshihiro Kokubo, Belinda K Lloyd, Samir Bhatt, Geoffrey Buckle, Tissa Wijeratne, Giuseppe Remuzzi, Robert W Aldridge, Luca Ronfani, Raj Kumar Verma, Jagdish Khubchandani, Irma Khonelidze, Ai Koyanagi, Teshome Gebre, Michael Kutz, Om Prakash Singh, Ana Maria Nogales Vasconcelos, Margaret Lind, Svetlana Popova, Hmwe H Kyu, Tom Achoki, Laith J. Abu-Raddad, Zacharie Tsala Dimbuene, Henock Yebyo, Mehdi Yaseri, Max Petzold, Sungho Won, Semaw Ferede Abera, Devina Nand, Rafael Tabarés-Seisdedos, Abdishakur M. Abdulle, Yingfeng Zheng, Soewarta Kosen, Aleksandra Barac, Mahboubeh Parsaeian, Yuichiro Yano, Charles D.A. Wolfe, Simon I. Hay, Luke D. Knibbs, Balem Demtsu Betsu, Solomon Abrha Damtew, Ileana Heredia-Pi, Boris Bikbov, Bemnet Amare Tedla, Daniel Kim, Ulrich O Mueller, Khurshid Alam, Andrew H. Kemp, Austin Carter, Chuanhua Yu, Ibrahim A Khalil, João Mário Pedro, Atsushi Goto, Arsène Kouablan Adou, Scott B. Patten, Nicola Low, Julio Cesar Montañez Hernandez, Heidi J. Larson, Worku Tefera, Sanjay Zodpey, Kalpana Balakrishnan, Hsing-Yi Chang, Jacqueline Castillo Rivas, Donal Bisanzio, Hilda L Harb, Meghan D. Mooney, John N Newton, Vasiliy Victorovich Vlassov, Marcella Montico, Mojde Mirarefin, Vinay Nangia, Edgar P. Simard, Ben Schöttker, Michael Brainin, Ziad A. Memish, Rafael Lozano, Damian G Hoy, Gebre Yitayih Abyu, Alexis J Handal, Saleem M Rana, Francesco Saverio Violante, Monika Sawhney, Eyal Oren, Iqbal R. F. Elyazar, Oluremi N Ajala, Christopher J L Murray, Chioma Ezinne Chibueze, Rupert R A Bourne, Euripide Frinel G Arthur Avokpaho, Andreas A Kudom, Hilton Lam, Aman Yesuf Endries, Farshad Pourmalek, Andre Pascal Kengne, Gholamreza Roshandel, Chandrashekhar T Sreeramareddy, Bolajoko O. Olusanya, Tommi Vasankari, Zahid A Butt, Alemseged Aregay Gebru, Samer Hamidi, Soraya Seedat, Xie Rachel Kulikoff, Maziar Moradi-Lakeh, Gelin Xu, Shireen Sindi, Ruoyan Tobe-Gai, Haidong Wang, Johanna M. Geleijnse, Rajesh Kumar Rai, Ryan M Barber, André Karch, Ione Jayce Ceola Schneider, Hebe N. Gouda, Sibhatu Biadgilign, Erika Ota, Kerrie E. Doyle, Olalekan A. Uthman, Jed D. Blore, Walid Ammar, Guohong Jiang, Carlos A Castañeda-Orjuela, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Charles N Mock, Ronan A Lyons, Jose Martinez-Raga, Thomas Fürst, Ambuj Roy, Mustafa Z. Younis, Harish Chander Gugnani, Mohammad Hifz Ur Rahman, Lidia Morawska, Noore Alam, Paul S. F. Yip, Grant Nguyen, Randah R. Hamadeh, Victor Aboyans, Miloje Savic, Ketevan Gambashidze, Graeme J. Hankey, David M. Pereira, Cho-il Kim, Peter A. Meaney, Haidong Kan, Sameer Vali Gopalani, Murugesan Raju, Saeid Shahraz, Ibrahim Abdelmageem Mohamed Ginawi, Kenji Shibuya, Raimundas Lunevicius, Sun Ha Jee, Prashant Singh, Atte Meretoja, Suzanne Polinder, Alex Reynolds, Joseph Mikesell, David O. Carpenter, Carla Sofia e Sa Farinha, Miguel Angel Alegretti, Nataliya Foigt, Naris Silpakit, Amare Deribew, Gessessew Bugssa Hailu, Mohammed Magdy Abd El Razek, Reza Assadi, Yichong Li, Georgina A. V. Murphy, Babak Eshrati, Rintaro Mori, Scott Weichenthal, Andre Keren, Van C. Lansingh, Kebede Deribe, Bulat Idrisov, François Alla, Maaya Kita, Ala'a Alkerwi, Maia Kereselidze, Yanping Wang, Rajesh Sharma, Florian Fischer, Foluke Adetola Ojelabi, Maya S Fraser, Kingsley N. Ukwaja, H. Dean Hosgood, Puja Rao, Deena Alasfoor, Muhammad Muhammad Saleh, Bryan L. Sykes, Juan Sanabria, Ronny Westerman, Julian David Pillay, Cassandra Szoeke, Umar Bacha, Edward J Mills, Manisha Dubey, Aliya Naheed, Al Artaman, Jiabin Shen, Michael Burch, Reza Malekzadeh, Hans W. Hoek, David C. Schwebel, Alireza Esteghamati, Seok Jun Yoon, Leilei Duan, Matthew M Coates, Arnav Agarwal, Soumya Swaminathan, Quyen Nguyen, Hye-Youn Park, Peter Nguhiu, Bereket Yakob, Patrick Liu, Elisabeth Barboza França, Tigist Assefa Bayou, Azmeraw T. Amare, Farshad Farzadfar, Tariku Jibat, Jost B. Jonas, Kaja Abbas, Thomas Truelsen, Maryam S. Farvid, Louisa Degenhardt, George A. Mensah, Till Bärnighausen, Ivy Shuie, Jee-Young Jasmine Choi, Amitava Banerjee, Zubair Kabir, Ingrid Wolfe, Patrick Martial Nkamedjie Pete, Preet K Dhillon, Kathryn H. Jacobsen, Sadaf G. Sepanlou, Gagandeep Kang, Aminu K. Bello, Bineyam Taye, Mohsen Naghavi, Chhabi Lal Ranabhat, Walter Mendoza, M. Patrice Lindsay, Sergey K Vladimirov, Tesfaye Setegn, Angel J Paternina Caicedo, Eric L. Ding, Narayanaswamy Venketasubramanian, Stephen S Lim, Barthelemy Kuate Defo, Alan D. Lopez, G Anil Kumar, João C. Fernandes, In-Hwan Oh, Rasmus Havmoeller, Amanuel Alemu Abajobir, Pengpeng Ye, Gabrielle deVeber, Espen Bjertness, Hao Zhang, Ali H. Mokdad, Yogeshwar Kalkonde, Peter Memiah, Rodrigo Sarmiento-Suarez, Konrad Pesudovs, Yong Zhao, Joseph Friedman, Abdullah Sulieman Terkawi, Hadi Danawi, André Faro, Kevin N. Sheth, Abera Kenay Tura, Sajjad Ur Rahman, Sergey Soshnikov, Ajit Kumar Yadav, Michelle L. Bell, Nelson Alvis-Guzman, Miia Kivipelto, Pieter de Jager, Yongmei Li, Giancarlo Logroscino, Sivadasanpillai Harikrishnan, Talha Farid, Zewdie Aderaw Alemu, Alemayehu Amberbir, Niveen M E Abu-Rmeileh, Beatriz Paulina Ayala Quintanilla, Parvaiz A Koul, Edson Serván-Mori, Anil Kaul, Cheng Huang, Kalkidan Hassen Abate, Hsiang Huang, Foad Abd-Allah, Marek Majdan, Sait Mentes Birlik, Jung-Chen Chang, Rahul Gupta, Luciano A. Sposato, Sergey Petrovich Ermakov, Ejaz Ahmad Khan, Yibeltal Tebekaw Bayou, Christian Lycke Ellingsen, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hajo Zeeb, Norberto Perico, Jun Zhu, Bruno F. Sunguya, Parthasarathi Ganguly, Fisaha Haile Tesfay, Min-Jeong Shin, Ashish Awasthi, Felix Akpojene Ogbo, Alan J Thomson, Mostafa Qorbani, Ye Jin, Don C. Des Jarlais, Itamar S. Santos, Juanita A. Haagsma, Anwar Rafay, Jacob Olusegun Olusanya, José Neves, Gregory M Anderson, Amador Goodridge, Bolanle F Banigbe, David Rojas-Rueda, Pedro R. Olivares, Rakhi Dandona, Stefanos Tyrovolas, Peter Njenga Keiyoro, Stein Emil Vollset, Andrea Werdecker, Mohamed Hsairi, Chandrasekharan Nair Kesavachandran, Jeanne Françoise Kayibanda, Alemayehu B. Mekonnen, Addisu Shunu Beyene, Lela Sturua, Inga Dora Sigfusdottir, Amber Sligar, Maysaa El Sayed Zaki, Shiwei Liu, Melkamu Dedefo Gishu, Chantal Huynh, Lope H Barrero, Linhong Wang, Neeraj Bedi, Masood Ali Shaikh, Ricky Leung, Mehdi Javanbakht, Alemayehu Hailu, Kimani M Harun, Ubai Alsharif, Richard C. Franklin, Zoubida Zaidi, Hassan Magdy Abd El Razek, Masako Horino, Karzan Abdulmuhsin Mohammad, Diego Augusto Santos Silva, Marcello Tonelli, Juan Jesus Carrero, Cyrus Cooper, Rajaa Al-Raddadi, Juan Liang, Leslie Cornaby, Awoke Misganaw, Norito Kawakami, Carl Abelardo T. Antonio, Daniel J. Weiss, Abhishek Singh, Vivekanand Jha, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Gizachew Assefa Tessema, Alem Mehari, Wagner Marcenes, Chabila C Mapoma, Ababi Zergaw Giref, Farhad Pishgar, Khassoum Diallo, Nicholas J K Breitborde, Emmanuel A. Ameh, Justin Beardsley, Ademola Lukman Adelekan, Joshua A. Salomon, Mamo Wubshet, Diego De Leo, Daniel Pope, Elisabete Weiderpass, Gregory A. Roth, Niranjan Kissoon, Kaire Innos, João Vasco Santos, Rajesh Sagar, Bradford D. Gessner, Akindele Olupelumi Adebiyi, John J Huang, Dharmesh Kumar Lal, Samantha M. Colquhoun, Eduardo Bernabé, Nadia Akseer, Maheswar Satpathy, Fotis Topouzis, Health Services Management & Organisation (HSMO), Public Health, Psychiatry, Neurology, Wang, Haidong, Bhutta, Zulfiqar A, Coates, Matthew M, Coggeshall, M, Ciobanu, Liliana G, Murray, Christopher JL, Coggeshall, Megan, Dandona, Lalit, Diallo, Khassoum, Franca, Elisabeth Barboza, Fraser, Maya, Fullman, Nancy, Gething, Peter W, Hay, Simon I, Kinfu, Yohanne, Kita, Maaya, Kulikoff, Xie Rachel, Larson, Heidi J, Liang, Juan, Liang, Xiaofeng, Lind, Margaret, Lopez, Alan D, Lozano, Rafael, Mensah, George A, Mikesell, Joseph B, Mokdad, Ali H, Mooney, Meghan D, Nguyen, Grant, Rakovac, Ivo, Salomon, Joshua A, Silpakit, Nari, Sligar, Amber, Sorensen, Reed J D, Vos, Theo, Zhu, Jun, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abraham, Biju, Abubakar, Ibrahim, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Abyu, Gebre Yitayih, Achoki, Tom, Adebiyi, Akindele Olupelumi, Adedeji, Isaac Akinkunmi, Adelekan, Ademola Lukman, Adou, Arsène Kouablan, Agarwal, Arnav, Ajala, Oluremi N, Akinyemiju, Tomi F, Akseer, Nadia, Alam, Khurshid, Alam, Noore K M, Alasfoor, Deena, Aldridge, Robert William, Alegretti, Miguel Angel, Alemu, Zewdie Aderaw, Ali, Raghib, Alkerwi, Ala'A, Alla, Françoi, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amberbir, Alemayehu, Amegah, Adeladza Kofi, Ameh, Emmanuel A, Ammar, Walid, Amrock, Stephen Marc, Andersen, Hjalte H, Anderson, Gregory M, Antonio, Carl Abelardo T, Ärnlöv, Johan, Artaman, Al, Asayesh, Hamid, Asghar, Rana Jawad, Assadi, Reza, Atique, Suleman, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Banigbe, Bolanle F, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Bayou, Tigist Assefa, Bayou, Yibeltal Tebekaw, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Bhatt, Samir, Biadgilign, Sibhatu, Bikbov, Bori, Birlik, Sait Mente, Bisanzio, Donal, Bjertness, Espen, Blore, Jed D, Bourne, Rupert R A, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brown, Alexandria, Buckle, Geoffrey Colin, Burch, Michael, Butt, Zahid A, Campos-Nonato, Ismael Ricardo, Campuzano, Julio Cesar, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesu, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Rivas, Jacqueline Castillo, Castro, Ruben Estanislao, Catalá-López, Ferrán, Cercy, Kelly, Chang, Hsing-Yi, Chang, Jung-Chen, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Choi, Jee-Young Jasmine, Chowdhury, Rajiv, Christopher, Devasahayam Jesuda, Colquhoun, Samantha M, Cooper, Cyru, Cornaby, Leslie, Damtew, Solomon Abrha, Danawi, Hadi, Dandona, Rakhi, das Neves, José, Davis, Adrian C, de Jager, Pieter, De Leo, Diego, Degenhardt, Louisa, Deribe, Kebede, Deribew, Amare, Jarlais, Don C De, Deveber, Gabrielle A, Dharmaratne, Samath D, Dhillon, Preet K, Ding, Eric L, Doshi, Pratik Pinal, Doyle, Kerrie E, Duan, Leilei, Dubey, Manisha, Ebrahimi, Hedyeh, Ellingsen, Christian Lycke, Elyazar, Iqbal, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshrati, Babak, Esteghamati, Alireza, Faraon, Emerito Jose Aquino, Farid, Talha A, Farinha, Carla Sofia e Sa, Faro, André, Farvid, Maryam S, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Joao C, Fischer, Florian, Fitchett, Joseph R A, Foigt, Nataliya, Franklin, Richard C, Friedman, Joseph, Fürst, Thoma, Gambashidze, Ketevan, Gamkrelidze, Amiran, Ganguly, Parthasarathi, Gebre, Teshome, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gebru, Alemseged Aregay, Geleijnse, Johanna M, Gessner, Bradford D, Ginawi, Ibrahim Abdelmageem Mohamed, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Gomez-Dantes, Hector, Gona, Philimon, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Gouda, Hebe N, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Vipin, Gyawali, Bishal, Haagsma, Juanita A, Hafezi-Nejad, Nima, Haile, Demewoz, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hancock, Jamie, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Harun, Kimani M, Havmoeller, Rasmu, Hay, Roderick J, Heredia-Pi, Ileana Beatriz, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Huang, Cheng, Huang, John J, Huang, Hsiang, Huiart, Laetitia, Iburg, Kim Moesgaard, Idrisov, Bulat T, Innos, Kaire, Jacobsen, Kathryn H, Jahanmehr, Nader, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jibat, Tariku, Jin, Ye, Jonas, Jost B, Kabir, Zubair, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Kang, Gagandeep, Karch, André, Karema, Corine Kakizi, Kasaeian, Amir, Kaul, Anil, Kawakami, Norito, Kayibanda, Jeanne Françoise, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Abdur Rahman, Khan, Ejaz Ahmad, Khang, Young-Ho, Khonelidze, Irma, Khubchandani, Jagdish, Kim, Cho-il, Kim, Daniel, Kim, Yun Jin, Kissoon, Niranjan, Kivipelto, Miia, Knibbs, Luke D, Kokubo, Yoshihiro, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kudom, Andreas A, Kumar, G Anil, Kyu, Hmwe H, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lam, Jennifer O, Lansingh, Van C, Larsson, Ander, Leigh, Jame, Leung, Ricky, Li, Yichong, Li, Yongmei, Lindsay, M Patrice, Liu, Patrick Y, Liu, Shiwei, Lloyd, Belinda K, Lo, Warren D, Logroscino, Giancarlo, Low, Nicola, Lunevicius, Raimunda, Lyons, Ronan A, Ma, Stefan, Razek, Hassan Magdy Abd El, Razek, Mohammed Magdy Abd El, Mahdavi, Mahdi, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Mapoma, Chabila C, Marcenes, Wagner, Martinez-Raga, Jose, Marzan, Melvin Barriento, Masiye, Felix, Mcgrath, John J, Meaney, Peter A, Mehari, Alem, Mehndiratta, Man Mohan, Mekonnen, Alemayehu B, Melaku, Yohannes Adama, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Meretoja, Atte, Meretoja, Tuomo J, Mhimbira, Francis Apolinary, Miller, Ted R, Mills, Edward J, Mirarefin, Mojde, Misganaw, Awoke, Mock, Charles N, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Monasta, Lorenzo, Hernandez, Julio Cesar Montañez, Montico, Marcella, Moore, Ami R, Moradi-Lakeh, Maziar, Morawska, Lidia, Mori, Rintaro, Mueller, Ulrich O, Murphy, Georgina A V, Murthy, Sriniva, Nachega, Jean B, Naheed, Aliya, Naidoo, Kovin S, Naldi, Luigi, Nand, Devina, Nangia, Vinay, Neupane, Suba, Newton, Charles R, Newton, John N, Ng, Marie, Ngalesoni, Frida Namnyak, Nguhiu, Peter, Nguyen, Quyen Le, Nisar, Muhammad Imran, Pete, Patrick Martial Nkamedjie, Norheim, Ole F, Norman, Rosana E, Ogbo, Felix Akpojene, Oh, In-Hwan, Ojelabi, Foluke Adetola, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ota, Erika, Pa, Mahesh, Park, Eun-Kee, Park, Hye-Youn, Parsaeian, Mahboubeh, Caicedo, Angel J Paternina, Patten, Scott B, Pedro, João Mário, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pillay, Julian David, Pishgar, Farhad, Polinder, Suzanne, Pope, Daniel, Popova, Svetlana, Pourmalek, Farshad, Qorbani, Mostafa, Rabiee, Rynaz H S, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Raju, Murugesan, Ram, Usha, Rana, Saleem M, Ranabhat, Chhabi Lal, Rao, Puja, Refaat, Amany H, Remuzzi, Giuseppe, Resnikoff, Serge, Reynolds, Alex, Rojas-Rueda, David, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Roy, Ambuj, Ruhago, George Mugambage, Sagar, Rajesh, Saleh, Muhammad Muhammad, Sanabria, Juan R, Sanchez-Niño, Maria Dolore, Santos, Itamar S, Santos, João Vasco, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Setegn, Tesfaye, Shahraz, Saeid, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shen, Jiabin, Sheth, Kevin N, Shibuya, Kenji, Shin, Hwashin Hyun, Shin, Min-Jeong, Shiri, Rahman, Shuie, Ivy, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silverberg, Jonathan, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A, Singh, Om Prakash, Singh, Prashant Kumar, Singh, Virendra, Soriano, Joan B, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stathopoulou, Vasiliki, Steel, Nichola, Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tavakkoli, Mohammad, Taye, Bineyam, Tedla, Bemnet Amare, Tefera, Worku Mekonnen, Tekle, Tesfaye, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thapa, Kiran, Thomson, Alan J, Thorne-Lyman, Andrew L, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thoma, Dimbuene, Zacharie Tsala, Tura, Abera Kenay, Tyrovolas, Stefano, Ukwaja, Kingsley N, Uneke, Chigozie Jesse, Uthman, Olalekan A, Vaezghasemi, Masoud, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Verma, Raj Kumar, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wang, Linhong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Widdowson, Marc-Alain, Wijeratne, Tissa, Williams, Thomas Neil, Wiysonge, Charles Shey, Wolfe, Charles D A, Wolfe, Ingrid, Won, Sungho, Wubshet, Mamo, Xiao, Qingyang, Xu, Gelin, Yadav, Ajit Kumar, Yakob, Bereket, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yebyo, Henock Gebremedhin, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zhang, Hao, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zodpey, Sanjay, and Murray, Christopher J L

Subjects
Pediatrics, Nutrition and Disease, Global Health, Communicable Disease, 0302 clinical medicine, Voeding en Ziekte, Infant Mortality, Compensation law of mortality, Global health, Medicine, LIFE EXPECTANCY, 030212 general & internal medicine, DEVELOPING-COUNTRIES, 10. No inequality, Medicine(all), NEWBORN BABIES, Medicine (all), Mortality rate, 1. No poverty, DEATH, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, 11 Medical And Health Sciences, Stillbirth, 3. Good health, Child Mortality, SURVIVAL, CHILD-MORTALITY, HEALTH, Life Sciences & Biomedicine, DEVELOPMENT GOAL 4, Human, INTERVENTIONS, medicine.medical_specialty, RJ, INTEGRATED APPROACH, Developing country, Communicable Diseases, neonatal, 03 medical and health sciences, Medicine, General & Internal, 030225 pediatrics, General & Internal Medicine, Life Science, Humans, Global Burden of Disease Study, VLAG, Estimation, Science & Technology, business.industry, Klinisk medicin, Infant, GBD 2015 Child Mortality Collaborators, Infant mortality, Malaria, Child mortality, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Life expectancy, Clinical Medicine, RG, business, Demography
Abstract

BACKGROUND: Established in 2000, Millennium Development Goal 4 (MDG4) catalysed extraordinary political, financial, and social commitments to reduce under-5 mortality by two-thirds between 1990 and 2015. At the country level, the pace of progress in improving child survival has varied markedly, highlighting a crucial need to further examine potential drivers of accelerated or slowed decreases in child mortality. The Global Burden of Disease 2015 Study (GBD 2015) provides an analytical framework to comprehensively assess these trends for under-5 mortality, age-specific and cause-specific mortality among children under 5 years, and stillbirths by geography over time. METHODS: Drawing from analytical approaches developed and refined in previous iterations of the GBD study, we generated updated estimates of child mortality by age group (neonatal, post-neonatal, ages 1-4 years, and under 5) for 195 countries and territories and selected subnational geographies, from 1980-2015. We also estimated numbers and rates of stillbirths for these geographies and years. Gaussian process regression with data source adjustments for sampling and non-sampling bias was applied to synthesise input data for under-5 mortality for each geography. Age-specific mortality estimates were generated through a two-stage age-sex splitting process, and stillbirth estimates were produced with a mixed-effects model, which accounted for variable stillbirth definitions and data source-specific biases. For GBD 2015, we did a series of novel analyses to systematically quantify the drivers of trends in child mortality across geographies. First, we assessed observed and expected levels and annualised rates of decrease for under-5 mortality and stillbirths as they related to the Soci-demographic Index (SDI). Second, we examined the ratio of recorded and expected levels of child mortality, on the basis of SDI, across geographies, as well as differences in recorded and expected annualised rates of change for under-5 mortality. Third, we analysed levels and cause compositions of under-5 mortality, across time and geographies, as they related to rising SDI. Finally, we decomposed the changes in under-5 mortality to changes in SDI at the global level, as well as changes in leading causes of under-5 deaths for countries and territories. We documented each step of the GBD 2015 child mortality estimation process, as well as data sources, in accordance with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). FINDINGS: Globally, 5·8 million (95% uncertainty interval [UI] 5·7-6·0) children younger than 5 years died in 2015, representing a 52·0% (95% UI 50·7-53·3) decrease in the number of under-5 deaths since 1990. Neonatal deaths and stillbirths fell at a slower pace since 1990, decreasing by 42·4% (41·3-43·6) to 2·6 million (2·6-2·7) neonatal deaths and 47·0% (35·1-57·0) to 2·1 million (1·8-2·5) stillbirths in 2015. Between 1990 and 2015, global under-5 mortality decreased at an annualised rate of decrease of 3·0% (2·6-3·3), falling short of the 4·4% annualised rate of decrease required to achieve MDG4. During this time, 58 countries met or exceeded the pace of progress required to meet MDG4. Between 2000, the year MDG4 was formally enacted, and 2015, 28 additional countries that did not achieve the 4·4% rate of decrease from 1990 met the MDG4 pace of decrease. However, absolute levels of under-5 mortality remained high in many countries, with 11 countries still recording rates exceeding 100 per 1000 livebirths in 2015. Marked decreases in under-5 deaths due to a number of communicable diseases, including lower respiratory infections, diarrhoeal diseases, measles, and malaria, accounted for much of the progress in lowering overall under-5 mortality in low-income countries. Compared with gains achieved for infectious diseases and nutritional deficiencies, the persisting toll of neonatal conditions and congenital anomalies on child survival became evident, especially in low-income and low-middle-income countries. We found sizeable heterogeneities in comparing observed and expected rates of under-5 mortality, as well as differences in observed and expected rates of change for under-5 mortality. At the global level, we recorded a divergence in observed and expected levels of under-5 mortality starting in 2000, with the observed trend falling much faster than what was expected based on SDI through 2015. Between 2000 and 2015, the world recorded 10·3 million fewer under-5 deaths than expected on the basis of improving SDI alone. INTERPRETATION: Gains in child survival have been large, widespread, and in many places in the world, faster than what was anticipated based on improving levels of development. Yet some countries, particularly in sub-Saharan Africa, still had high rates of under-5 mortality in 2015. Unless these countries are able to accelerate reductions in child deaths at an extraordinary pace, their achievement of proposed SDG targets is unlikely. Improving the evidence base on drivers that might hasten the pace of progress for child survival, ranging from cost-effective intervention packages to innovative financing mechanisms, is vital to charting the pathways for ultimately ending preventable child deaths by 2030. FUNDING: Bill & Melinda Gates Foundation. Erratum: Department of Error, The Lancet,Volume 389, Issue 10064, 2017, Page e1. DOI: 10.1016/S0140-6736(16)32608-3

Published
2016

24. Understanding community patterns in large attributed social networks

Author

Danilo Montesi, Rajesh Sharma, Matteo Magnani, Sharma, Rajesh, Magnani, Matteo, and Montesi, Danilo

Subjects
Connected component, World Wide Web, Dynamic network analysis, Social network, business.industry, Computer science, Knowledge engineering, Graph (abstract data type), Community Patterns, Social Network Analysis, Attribute Based Community Analysis, business, Data science
Abstract

There is an inherent presence of communities in online social networks. These communities can be defined based on i) link structure or ii) the attributes of individuals. Attributes can indicate as interests in specific topics, like science-fiction books or romantic movies, or more in general their explicit affiliation to a group inside the network. In this paper, we analyze community structures as defined by how people are associated to third concepts like attributes. To understand the community patterns we analyze three large and one small social network datasets. Our analysis shows that, irrespective of the number of nodes for any particular interest in the network, at least 50% of the nodes are part of the same connected component in the graph induced by each interest. Another interesting result of our analysis is that the majority of sub-communities (50% or above) for any interest are separated by small hops (two to three) from each other.

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results