scholarly journals Short-term group fission processes in macaques: a social networking approach

2010 ◽  
Vol 213 (8) ◽  
pp. 1338-1346 ◽  
Author(s):  
C. Sueur ◽  
O. Petit ◽  
J. L. Deneubourg
Keyword(s):  
Social Networking ◽  
Short Term ◽  
Group Fission

The Benefits of Social Networking Sites in Building Reputation for Enterprises

2019 ◽  
pp. 65-85
Author(s):  
María Victoria Carrillo-Durán ◽  
Juan Luis Tato-Jiménez
Keyword(s):  
Literature Review ◽  
Social Networking ◽  
Competitive Advantage ◽  
Social Networking Sites ◽  
Point Of View ◽  
Digital Environment ◽  
Short Term

This chapter aims to clarify the role of social networking sites (SNSs) such as Facebook, Twitter, and LinkedIn in building the reputation of enterprises. SNSs have a vast potential in the digital environment to build reputation and thus a long-term competitive advantage for companies. The chapter opts for a literature review with which to discuss the difficulties and possibilities companies have in building reputation through SNSs. The SNSs used in companies are marketing-centered. Engagement is promoted only with customers, and is short-term and centered on results instead of being long-term and centered on competitive advantage and promoting engagement with different stakeholders. This issue is not dependent on the size of the company. Instead, it is dependent on understanding the concept of reputation from a strategic point of view, with companies adapting their management to their own particularities and to the different possibilities offered by SNSs.

scholarly journals The Use of Custom URL for E-Messages, Tweets and Posts against E-Social Platforms Based on Time Complexity Retardation

2021 ◽  
pp. 25-33
Author(s):  
Vivek Uprit
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Time Complexity ◽  
Short Term ◽  
Environmental Dispute ◽  
Regular Work ◽  
The Individual ◽  
Modern Era ◽  
E Mail ◽  
Share Information

On the leaning of the widespread adaptation of web services such as social networking sites (like Twitter, Facebook, LinkedIn, YouTube, WhatsApp, Instagram, Pinterest, etc.) and E-mail have become regular work. We approach these sites to gather or share information worldwide in the form of messages (like tweets, posts, blogs, etc.) and also in other formats such as pictures, audio, and video. In the modern era of Technology where the audience is widely connected with e-platform, these social networking sites are also used to organize e-campaign to favor or counteraction in different contention such as political review, social issue, environmental dispute, worldwide controversy, trolling etc. using the method of Folksonomy [1]. We are participating in such trolling, controversy, and campaign or expedition by using posting a message, tweet, micro-blog, etc. In particular, to join all we are doing is post a tweet or micro-blog that has the precise word or phrase because it appears within the Trends list, like a hashtag. But the trending keywords changed in the short-term and any hashtag gets popularity worldwide shortly. We demonstrate the custom-URL to join e-campaign which is wrapped in shortened-URL for easy to understand and gets excessive results to trend any Tag or Hashtag in a span of time. We improve the results for the community, groups and as well as for the individual audience to gets the best consequence for trending keywords.

scholarly journals Socirank Diagnose and Dispose Rife News Topics Proving Cordial Disclosure Component

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1293-1298
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Short Term ◽  
Web Based ◽  
Specific Subject ◽  
Media Center ◽  
On Line ◽  
The Media ◽  
Information Media ◽  
Selection Of

Broad communications resources, specifically the journalism, have actually generally informed USA of daily occasions. In present day times, web-based social networking managements, as an example, Twitter provides a stupendous procedure of customer produced information, which might most likely contain helpful news-related material. For these properties to be valuable, we need to constantly figure out a way to direct commotion as well as simply capture the compound that, in lightweight of its alikeness to the journalism, is thought about successful. still, also when turmoil is removed, knowledge over-burden could all the same exist within the rest of the understanding after, it is useful to organize it for application. To achieve prioritization, expertise needs to be placed arranged by evaluated relevance brooding regarding 3 components. to begin with, the short-term generality of a specific subject within the journalism can be a concern of importance, and could be seen since the media center (MF) of a factor. Second, the short-term commonness of the topic in social networks reveals its consumer thought (UA). Last, the teamwork in between the on-line mainly based life consumers United Nations firm notification this subject demonstrates the standard of the network chatting concerning it, and can be watched since the consumer partnership (UI) at the purpose. We recommend AN ignored framework-- SociRank-- which recognizes news points primary in each net mainly based life as well as also the information media, and also after positions them by value using their degrees of MF, UA, and also UI. Our tests demonstrate that SociRank boosts the standard as well as selection of naturally acknowledged news points.

scholarly journals Usage of social media Twitter in the Intervention of Diabetes Mellitus

2021 ◽  
Vol 1 (3) ◽  
pp. 63-69
Author(s):  
Medit Leonard, ◽  
Bethzy Williams
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Short Term Memory ◽  
Diabetic Patients ◽  
Regular Expressions ◽  
Short Term ◽  
Twitter Data ◽  
Health Related ◽  
Long Short Term Memory ◽  
Prior Analysis

Social networking sites have been a common forum for exchanging health-related insights and information. This study aims to look at Twitter use in the intervention of diabetes. Specifically, utilising a prior analysis as a reference, we use a revised approach to analyse trends in the existing use of hash-tags, trending hash-tags, and the incidence of diabetes-related tweets. Our findings indicate that the diabetes population on Twitter has grown significantly over time, as well as proof that this community is becoming more capable of spreading diabetes-related health information. An enhanced system for storing, cleaning, and reviewing Twitter data relevant to diabetes, as well as the use of regular expressions to categorise subsets of tweets, are among our computational contributions. To recognise tweets from diabetic patients, we built a model focused on word embedding and long short- term memory.

The Improved LSTM and CNN Models for DDoS Attacks Prediction in Social Media

2019 ◽  
Vol 9 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Rasim M. Alguliyev ◽  
Ramiz M. Aliguliyev ◽  
Fargana J Abdullayeva
Keyword(s):  
Social Networking ◽  
Short Term Memory ◽  
Classification Performance ◽  
Automatic Identification ◽  
Test Accuracy ◽  
The Novel ◽  
Short Term ◽  
Accuracy Test ◽  
Twitter Data ◽  
Long Short Term Memory

Automatic identification of conversations related to DDoS events in social networking logs helps the organizations act proactively through early detection of negative and positive sentiments in cyberspace. In this article, the authors describe the novel application of a deep learning method to the automatic identification of negative and positive sentiments in large volumes of social networking texts. The authors present classifiers based on Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) to address this problem domain. The improved CNN and LSTM architecture outperform the classification techniques that are common in this domain including classic CNN and classic LSTM in terms of classification performance, which is measured by recall, precision, f-measure, train loss, train accuracy, test loss, and test accuracy. In order to predict the occurrence probability of the DDoS events the next day, the negative and positive sentiments in social networking texts are used. To verify the efficacy of the proposed method experiments is conducted on Twitter data.

scholarly journals Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM

2021 ◽  
Author(s):  
Rhea Mahajan ◽  
Vibhakar Mansotra
Keyword(s):  
Neural Network ◽  
Social Behavior ◽  
Social Networking ◽  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
The Social ◽  
Median Error ◽  
Long Short Term Memory ◽  
The City

AbstractTwitter is one of the most popular micro-blogging and social networking platforms where users post their opinions, preferences, activities, thoughts, views, etc., in form of tweets within the limit of 280 characters. In order to study and analyse the social behavior and activities of a user across a region, it becomes necessary to identify the location of the tweet. This paper aims to predict geolocation of real-time tweets at the city level collected for a period of 30 days by using a combination of convolutional neural network and a bidirectional long short-term memory by extracting features within the tweets and features associated with the tweets. We have also compared our results with previous baseline models and the findings of our experiment show a significant improvement over baselines methods achieving an accuracy of 92.6 with a median error of 22.4 km at city level prediction.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

Ultrastructural Changes of Canine Kidneys During 24-Hour Perfusion on a LI-400 Preservation System

1971 ◽  
Vol 29 ◽  
pp. 316-317
Author(s):  
M. O. Magnusson ◽  
D. G. Osborne ◽  
T. Shimoji ◽  
W. S. Kiser ◽  
W. A. Hawk
Keyword(s):  
Electron Microscopy ◽  
Electrolyte Solution ◽  
Ultrastructural Changes ◽  
Midline Incision ◽  
Short Term ◽  
Pentobarbital Anesthesia ◽  
Pulsatile Perfusion

Short term experimental and clinical preservation of kidneys is presently best accomplished by hypothermic continuous pulsatile perfusion with cryoprecipitated and millipore filtered plasma. This study was undertaken to observe ultrastructural changes occurring during 24-hour preservation using the above mentioned method.A kidney was removed through a midline incision from healthy mongrel dogs under pentobarbital anesthesia. The kidneys were flushed immediately after removal with chilled electrolyte solution and placed on a LI-400 preservation system and perfused at 8-10°C. Serial kidney biopsies were obtained at 0-½-1-2-4-8-16 and 24 hours of preservation. All biopsies were prepared for electron microscopy. At the end of the preservation period the kidneys were autografted.

Polychlorinated biphenyl induced hepatocyte alterations

1987 ◽  
Vol 45 ◽  
pp. 716-717
Author(s):  
D.N. Collins ◽  
J.N. Turner ◽  
K.O. Brosch ◽  
R.F. Seegal
Keyword(s):  
Lipid Droplets ◽  
Wistar Rats ◽  
Homovanillic Acid ◽  
Polychlorinated Biphenyl ◽  
Corn Oil ◽  
Environmental Pollutants ◽  
Short Term ◽  
Pcb Congeners ◽  
Urinary Levels ◽  
The Brain

Polychlorinated biphenyls (PCBs) are a ubiquitous class of environmental pollutants with toxic and hepatocellular effects, including accumulation of fat, proliferated smooth endoplasmic recticulum (SER), and concentric membrane arrays (CMAs) (1-3). The CMAs appear to be a membrane storage and degeneration organelle composed of a large number of concentric membrane layers usually surrounding one or more lipid droplets often with internalized membrane fragments (3). The present study documents liver alteration after a short term single dose exposure to PCBs with high chlorine content, and correlates them with reported animal weights and central nervous system (CNS) measures. In the brain PCB congeners were concentrated in particular regions (4) while catecholamine concentrations were decreased (4-6). Urinary levels of homovanillic acid a dopamine metabolite were evaluated (7).Wistar rats were gavaged with corn oil (6 controls), or with a 1:1 mixture of Aroclor 1254 and 1260 in corn oil at 500 or 1000 mg total PCB/kg (6 at each level).

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