Scalable Method for Information Spread Control in Social Networks

2018 ◽  
pp. 220-240
Author(s):  
Michal Wojtasiewicz ◽  
Mieczysław Kłopotek
Keyword(s):  
Social Networks ◽  
Cluster Analysis ◽  
Random Walks ◽  
Signal Propagation ◽  
Control Signal ◽  
Information Spread ◽  
Information Spreading

In this chapter, scalable and parallelized method for cluster analysis based on random walks is presented. The aim of the algorithm introduced in this chapter is to detect dense sub graphs (clusters) and sparse sub graphs (bridges) which are responsible for information spreading among found clusters. The algorithm is sensitive to the uncertainty involved in assignment of vertices. It distinguishes groups of nodes that form sparse clusters. These groups are mostly located in places crucial for information spreading so one can control signal propagation between separated dense sub graphs by using algorithm provided in this work. Authors have also proposed new coefficient which measures quality of given clustering with respect to information spread control between clusters. Measures presented in this paper can be used for determining quality of whole partitioning or a single bridge.

Mining Information Spreading Based on Users' Retweet Behavior in Twitter

2013 ◽  
Vol 380-384 ◽  
pp. 2866-2870 ◽  
Author(s):  
Rong Ze Xia ◽  
Yan Jia ◽  
Wang Qun Lin ◽  
Hu Li
Keyword(s):  
Social Networks ◽  
Power Law ◽  
Power Law Distribution ◽  
Spreading Process ◽  
Spreading Model ◽  
The World ◽  
Information Spread ◽  
Information Spreading

Twitter is one of the largest social networks in the world. People could share contents on it. When we interact with each other, the information spreads. And its users retweet behavior that makes information spread so fast. So there comes an important question: Whats about users retweet behavior? Could we simulate information spreading in twitter by retweeting behavior? We crawl twitter and mine information spreading based on users retweet behavior in it. Through our dateset, we verify the power-law distribution of the retweet-width and retweet-depth. At the same time, we study the correlation between retweet-width and retweet-depth. Finally, we propose an information spreading model to simulate the information spreading process in twitter and get a good result.

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

scholarly journals Faster Random Walks by Rewiring Online Social Networks On-the-Fly

2016 ◽  
Vol 40 (4) ◽  
pp. 1-36 ◽  
Author(s):  
Zhuojie Zhou ◽  
Nan Zhang ◽  
Zhiguo Gong ◽  
Gautam Das
Keyword(s):  
Social Networks ◽  
Random Walks ◽  
Online Social Networks

Quality of life, physical activity and burnout syndrome during online learning period in Brazilian university students during the COVID-19 pandemic: a cluster analysis

2021 ◽  
pp. 1-15
Author(s):  
Diana Vilela Azzi ◽  
Júlia Melo ◽  
Armindo de Arruda Campos Neto ◽  
Paula Midori Castelo ◽  
Eric Francelino Andrade ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cluster Analysis ◽  
Online Learning ◽  
University Students ◽  
Burnout Syndrome

Communication in social networks of St. Petersburg as a means of adaptation of ethnocultural communities

Litera ◽  
2021 ◽  
pp. 38-55
Author(s):  
Rivaa Mukhammad Salem Alsalibi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Ethnic Communities ◽  
Sense Of Security ◽  
The Social ◽  
The Subject ◽  
Development Prospects

The subject of this research is the specifics, forms and functions of interaction in social media groups between the representatives of ethnic communities. The goal consists in determination of the role of social networks in adaptation of ethnocultural communities of St. Petersburg. The research is based on the polling technique for acquisition of information on the cognitive, emotional, and behavioral state of a person. The survey was conducted via distribution of questionnaires among the representatives of ethnic groups. The article also employs the method of systematic scientific observation over the social media groups, topic raised therein, as well as reading and analysis of the comments. The scientific novelty of this work consists in outlining of the nature, trends and development prospects of cross-cultural communications as the channel for ethnocultural interaction.  The main conclusions, which touch upon users from various ethnic communities who do not have enough experience in organization of activity of social media groups, demonstrate that it causes the loss of the sense of security, accumulation of prejudices and escalation of interethnic conflicts, as well as preference of the with restricted access, which contributes to lock down of the group and impedes adaptation in the accepting society. Stabilization of situation can be achieved by improvement of the quality of content posted in the social media, as well as level of their administration.

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