Modeling seed user from short message records

2015 ◽  
Vol 06 (01) ◽  
pp. 1550002
Author(s):  
Guoqing Zheng ◽  
Jinshan Liu
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Mobile Phone ◽  
Exploratory Data Analysis ◽  
Short Message ◽  
Exploratory Data ◽  
Telecom Operator ◽  
Via Classification ◽  
Social Media Network ◽  
Short Messages

Short messages are an important part of social media network. Besides traditional communications, short messages can also be used for education, entertainment and even business. Nowadays, much work has been devoted to mining useful information and knowledge from short messages via classification and clustering approaches. However, in many situations, it is vital to identify some influential users whose messages will result in a large amount of forwarding, these users are called seed users. In this paper, studies on the forwarding behavior of mobile phone users are carried out first, then, a directed graph-based short message forwarding model is setup, together with a "Reverse PageRank" scoring policy. Finally, the forwarding model and scoring policy have been applied to a real short message record dataset from some telecom operator. By some exploratory data analysis of the dataset, parameters of the forwarding model are determined. Experimental results show that the model and the scoring policy are effective in finding out seed users.

Impact of Social Media on Pharmaceutical Manufacturer

2017 ◽  
Vol 8 (4) ◽  
pp. 47
Author(s):  
, Tarun
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Side Effects ◽  
Exploratory Data Analysis ◽  
New Product ◽  
Pharmaceutical Manufacturer ◽  
Development Phase ◽  
Word Cloud ◽  
The People ◽  
Exploratory Data

Now a days, manufacturers in this competitive market are fighting to stay ahead in the race whether they have already launched a product, product is in the market, launching a new product or it is still in a development phase to find out the people’s demand. Social media is the platform for everyone now a days to track the activities online and the taste and preferences of the people can be tracked. Likewise the drug manufacturers are also pitching in social media to know about the side effects of the drugs when the drug will come to the market. Even though, they already tested the drug for any side effects but they are keen to know about the genuine feelings of consumers, which are shared on social media, about their drug. This paper delineate the side effects of drugs which are being used by the patients for any particular disorder where we have attempted to capture and analyze the information about some unbridled ramification of these drugs with an assumption that the significant portion of people who are under-treatment have acknowledged their genuine feelings. We have applied sentiment analysis followed by exploratory data analysis by taking non structured reviews into consideration. We have generated a word cloud of side effects which people had mentioned in their reviews. It emphasizes on the side effects of the anti-depressant medication and how they impact the human body. The analysis is very helpful to drug manufacturers as they can understand the genuine feelings of consumers and they can change or modify the drug accordingly.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

The Role of Mobile Phone Technology in Resolving Communal Conflicts in Mandera County, Kenya

2020 ◽  
Vol 4 (2) ◽  
pp. 69-80
Author(s):  
Mohamed Ibrahim Eymoi ◽  
Patrick Mbataru
Keyword(s):  
Social Media ◽  
Conflict Resolution ◽  
Mobile Phone ◽  
Short Message Service ◽  
Instant Messaging ◽  
Video Conferencing ◽  
Short Message ◽  
Mobile Phone Technology ◽  
Message Service

The unprecedented global adoption of information and communication technologies (ICTs) is rapidly changing the way people are communicating in solving problems. For several years now, the role of ICTs has become important in the way people construct their relationships in conflict resolution. Yet little is known on the dynamism of this interaction. It is not clear how mobile technology has contributed toward conflict resolution, and this study will contribute to the knowledge on the role of mobile telephones in conflict resolution. The purpose of this study was to explore how the mobile phone technology contributed in resolving communal conflicts in Mandera County, Kenya. This study was guided by three theories: conflict transformation theory, diffusion of innovations theory and social representation theory. The conflict Tansformation Theory is adopted as the main theory of analysis.  The main idea of this theory is transforming negative conflict into constructive conflict, deals with structural, behavioural and attitudinal aspects of conflict. This study adopted a descriptive survey. The population for this study consisted of 301 employees in ICT and security department where stakeholders in technology and security sectors and the public. Primary and secondary  data was analysed according to the objectives. Primary data was derived from questionnaires formulated to target employees in ICT and security department. The data analysis included qualitative and quantitative techniques.  Qualitative data was summarized and categorized according to common themes and was presented using frequency distribution tables, graphs and charts. Content analysis was used mostly to arrive at inferences through a systematic and objective identification of the specific messages. The quantitative data collected was analyzed using descriptive statistics. The results confirmed that short message service, social media plateform, instant messaging applications, and video conferencing play a role in resolving communal conflicts in Mandera County. The study concludes that Short Message Service, Social Media Platforms and Instant Messaging Applications can be used conflict such as communal conflicts. Video Conferencing can be used to solve conflict such as relationship conflict, arises from differences in personality, style, matters of taste, and even conflict style as well as conflict in the workplace like task conflict. County government of Mandera must come up with ways of incorporating mobile phone technologies such as Short Message Service, Social Media Platforms, Instant Messaging and Video Conferencing on matters conflict resolution. The study recommends that the County Government of Mandera in collaboration with the National Government need to come up with agencies to regulate the use of social media as a medium to communicate in times of conflict since they are sometimes prone to misuse.

Covid-19 Cases in India: A Visual Exploratory Data Analysis Model (Preprint)

2020 ◽  
Author(s):  
Jayesh S
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Case Fatality ◽  
Public Health Emergency ◽  
Virus Spread ◽  
Analysis Model ◽  
Case Fatality Ratio ◽  
First Case ◽  
Exploratory Data ◽  
The Government

UNSTRUCTURED Covid-19 outbreak was first reported in Wuhan, China. The deadly virus spread not just the disease, but fear around the globe. On January 2020, WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC). First case of Covid-19 in India was reported on January 30, 2020. By the time, India was prepared in fighting against the virus. India has taken various measures to tackle the situation. In this paper, an exploratory data analysis of Covid-19 cases in India is carried out. Data namely number of cases, testing done, Case Fatality ratio, Number of deaths, change in visits stringency index and measures taken by the government is used for modelling and visual exploratory data analysis.

scholarly journals Multivariate Statistical Approach for Nephrines in Women with Obesity

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1393
Author(s):  
Ralitsa Robeva ◽  
Miroslava Nedyalkova ◽  
Georgi Kirilov ◽  
Atanaska Elenkova ◽  
Sabina Zacharieva ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Data Analysis ◽  
Stress Response ◽  
Exploratory Data Analysis ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Obese Women ◽  
Exploratory Data

Catecholamines are physiological regulators of carbohydrate and lipid metabolism during stress, but their chronic influence on metabolic changes in obese patients is still not clarified. The present study aimed to establish the associations between the catecholamine metabolites and metabolic syndrome (MS) components in obese women as well as to reveal the possible hidden subgroups of patients through hierarchical cluster analysis and principal component analysis. The 24-h urine excretion of metanephrine and normetanephrine was investigated in 150 obese women (54 non diabetic without MS, 70 non-diabetic with MS and 26 with type 2 diabetes). The interrelations between carbohydrate disturbances, metabolic syndrome components and stress response hormones were studied. Exploratory data analysis was used to determine different patterns of similarities among the patients. Normetanephrine concentrations were significantly increased in postmenopausal patients and in women with morbid obesity, type 2 diabetes, and hypertension but not with prediabetes. Both metanephrine and normetanephrine levels were positively associated with glucose concentrations one hour after glucose load irrespectively of the insulin levels. The exploratory data analysis showed different risk subgroups among the investigated obese women. The development of predictive tools that include not only traditional metabolic risk factors, but also markers of stress response systems might help for specific risk estimation in obesity patients.

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