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Relevant bibliographies by topics / Follore

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Journal articles

Academic literature on the topic 'Follore'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Follore"

1

Ross, Jan-Michael, and Dmitry Sharapov. "Follow the follower? Performance consequences of leader-follower imitation under uncertainty." Academy of Management Proceedings 2013, no. 1 (2013): 16790. http://dx.doi.org/10.5465/ambpp.2013.175.

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2

Prianti, Desi Dwi. "Making your follower follow with ‘hearts and minds’." IOSR Journal of Business and Management 1, no. 3 (2012): 30–36. http://dx.doi.org/10.9790/487x-0133036.

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3

Westergard, Bjorn. "Do Computers Follow Rules Once Followed by Workers?" IEEE Annals of the History of Computing 39, no. 4 (2017): 5–8. http://dx.doi.org/10.1353/ahc.2017.0036.

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4

Westergard, Bjorn. "Do Computers Follow Rules Once Followed by Workers?" IEEE Annals of the History of Computing 39, no. 4 (2017): 5–8. http://dx.doi.org/10.1109/mahc.2018.1221052.

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5

Nanda, Upali, Debajyoti Pati, Hessam Ghamari, and Robyn Bajema. "Lessons from neuroscience: form follows function, emotions follow form." Intelligent Buildings International 5, sup1 (2013): 61–78. http://dx.doi.org/10.1080/17508975.2013.807767.

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6

Bruns, Axel, Brenda Moon, Felix Münch, and Troy Sadkowsky. "The Australian Twittersphere in 2016: Mapping the Follower/Followee Network." Social Media + Society 3, no. 4 (2017): 205630511774816. http://dx.doi.org/10.1177/2056305117748162.

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Twitter is now a key platform for public communication between a diverse range of participants, but the overall shape of the communication network it provides remains largely unknown. This article provides a detailed overview of the network structure of the Australian Twittersphere and identifies the thematic drivers of the key clusters within the network. We identify some 3.72 million Australian Twitter accounts and map the follower/followee connections between the 255,000 most connected accounts; we utilize community detection algorithms to identify the major clusters within this network and examine their account populations to identify their constitutive themes; we examine account creation dates and reconstruct a timeline for the Twitter adoption process among different communities; and we examine lifetime and recent tweeting patterns to determine the historically and currently most active clusters in the network. In combination, this offers the first rigorous and comprehensive study of the network structure of an entire national Twittersphere.

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7

Zuman, Petr. "Some applications of polarography for investigation of equlibria in aqueous solutions of organic compounds." Collection of Czechoslovak Chemical Communications 74, no. 11-12 (2009): 1777–89. http://dx.doi.org/10.1135/cccc2009121.

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There are two possibilities how to follow equilibria of organic compounds established in aqueous solutions using polarography: for very fast reactions, information can be obtained from shifts of half-wave potentials. For slowly established equilibria, the changes in the limiting current are followed. In both cases variation of the half-wave potentials or limiting currents with concentration of a reactant, present in excess, is followed. The types of reactions, which had been followed in this way, are as follows: hydration–dehydration equilibria, additions of hydroxide ion to carbonyl and nitroso compounds, the role of slowly established acid–base equilibria involving C-acids; further also reactions involving the addition of ammonia, primary amines, hydroxylamine, and hydrazine to carbonyl compounds.

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8

Takano, Shingo, Hiroyoshi Akutsu, Masashi Mizumoto, Tetsuya Yamamoto, Koji Tsuboi, and Akira Matsumura. "Neuroendoscopy Followed by Radiotherapy in Cystic Craniopharyngiomas—a Long-Term Follow-Up." World Neurosurgery 84, no. 5 (2015): 1305–15. http://dx.doi.org/10.1016/j.wneu.2015.06.022.

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9

Dib, Brahim, Fahd Kalloubi, El Habib Nfaoui, and Abdelhak Boulaalam. "Incorporating LDA with LSTM for followee recommendation on Twitter network." International Journal of Web Information Systems 17, no. 3 (2021): 250–60. http://dx.doi.org/10.1108/ijwis-12-2020-0079.

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Purpose The purpose of this study is to facilitate the task of finding appropriate information to read about, and searching for people who are in the same field of interest. Knowing that more people keep up with new streaming information on Twitter micro-blogging service. With the immense number of micro-posts shared via the follower/followee network graph, Twitter users find themselves in front of millions of tweets, which makes the task crucial. Design/methodology/approach In this paper, a long short–term memory (LSTM) model that relies on the latent Dirichlet allocation (LDA) output vector for followee recommendation, the LDA model applied as a topic modeling strategy is proposed. Findings This study trains the model using a real-life data set extracted based on Twitter follower/followee architecture. It confirms the effectiveness and scalability of the proposed approach. The approach improves the state-of-the-art models average-LSTM and time-LSTM. Research limitations/implications This study improves mainly the existing followee recommendation systems. Because, unlike previous studies, it applied a non-hand-crafted method which is the LSTM neural network with LDA model for topics extraction. The main limitation of this study is the cold-start users cannot be treated, also some active fake accounts may not be detected. Practical implications The aim of this approach is to assist users seeking appropriate information to read about, by choosing appropriate profiles to follow. Social implications This approach consolidates the social relationship between users in a microblogging platform by suggesting like-minded people to each other. Thus, finding users with the same interests will be easy without spending a lot of time seeking relevant users. Originality/value Instead of classic recommendation models, the paper provides an efficient neural network searching method to make it easier to find appropriate users to follow. Therefore, affording an effective followee recommendation system.

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10

Abbas, Hind Fadhil. "The Phenomenon of Phonological Follow in Al-Amali Abi Ali Al-Qali’s Book (seq.356 Hijri): A Phonological Study." Journal of the College of Education for Women 32, no. 1 (2021): 26–35. http://dx.doi.org/10.36231/coedw.v32i1.1462.

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This research discusses the verbal follow phenomenon in Al-Amali Abi Al-Qali’s book (seq.356 Hijri). It aims to limit the examples of this phenomenon in the book, and examine it phonologically. Accordingly, the researcher adopted the analaytical descriptive approach, taking into account Al-Rawi’s letter when ordering the verbal follow-based examples, and the order they took in the book in question. The purposes behind this phonological study of verbal follow in Al-Amali’s book are to: reach the sounds which Arabs prefer in the process of following, confirm different beautiful and desirable senses, have easy and speedy pronunciation, maintain harmony between adjacent sounds, count the sounds that occur at the beginning of the follower- a disputable phonological issue between the follower and following- and spot the phonological change that occurs to the follower. Accordingly, a caution is needed to maintain harmony and homogeneity between two pronunciations to achieve the process of following. Or, the structure of the word follower is changed to match its peer followed word.The study has shown that Al-Qali was the eldest in dealing with the formal aspect of the phenomenon. He pointed to the idea of merging the last letter in the subordinate and the follower, and compared it with a stylistic, artistic, and acoustic characteristic, which is included in the innate rhetoric, i.e., assonance. By that, he has determined the most important formal acoustic features of the rhythmic complex as represented by the endings of the sequences, which have a musical rhythm.

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