Cross-Network User Matching Based on Association Strength

2021 ◽  
pp. 927-936
Author(s):  
Qiuyan Jiang ◽  
Daofu Gong ◽  
Fenlin Liu
Keyword(s):  
2011 ◽  
Author(s):  
Jason Arndt ◽  
Andy Hyatt ◽  
Divya Dethier ◽  
Emily Whitaker ◽  
Nina Hommel ◽  
...  

2016 ◽  
Vol 58 (3) ◽  
pp. 421-450
Author(s):  
Kaleel Rahman ◽  
Charles S. Areni

Researchers suggest quantification of qualitative data as an innovative approach to knowledge creation. Brand associations, a form of qualitative data, are common in measuring customer-based brand equity. The branding literature suggests that not all brand associations are equal. The strength, uniqueness and valence of brand associations need to be considered when assessing brand associations (Keller 1993). Although Keller's work is cited by many, no study has devised a method to quantify and integrate these three dimensions into a single index. This study provides an approach to address all three dimensions simultaneously. The approach first determines uniqueness of brand associations by coding associations into several mutually exclusive meaning categories. Then the serial order of free-association elicitation is used to assess association strength. The serial order, combined with a measure of valence, creates a quantification of open-ended brand associations called a ‘weighted valence index’ (WVI). In conclusion, the paper discusses the reliability and validity of the proposed measure.


Author(s):  
Xiaopeng Zhang ◽  
Baoshan Zhao ◽  
Wenwen Li

Abstract This study examined n-gram use in oral production by Chinese college-level English as a foreign language (EFL) learners at four distinct proficiency levels. Thirty indices regarding range, frequency, and association strength of bi- and tri-grams obtained from retelling and monologic samples were analyzed. Results suggest that, i) the four proficiency levels differed in measures for frequency and association strength of bi- and tri-grams, ii) academic bi- and tri-gram proportions and association strength (captured by MI- and t-scores) were predictive of EFL speaking proficiency for both the retelling and monologic samples but the effects were small, and iii) EFL learners used more well-attested bi- and tri-grams in monologues than in retelling, demonstrating that higher rated samples tended to contain more strongly-associated bi- and tri-grams, a greater proportion of frequent attested academic tri-grams, and that EFL n-gram use was task-sensitive. These findings help enrich our understanding on EFL development of multi-word sequences and have potentially useful implications for EFL pedagogy.


2018 ◽  
Author(s):  
Maria Montefinese ◽  
Erin Michelle Buchanan ◽  
David Vinson

Models of semantic representation predict that automatic priming is determined by associative and co-occurrence relations (i.e., spreading activation accounts), or to similarity in words' semantic features (i.e., featural models). Although, these three factors are correlated in characterizing semantic representation, they seem to tap different aspects of meaning. We designed two lexical decision experiments to dissociate these three different types of meaning similarity. For unmasked primes, we observed priming only due to association strength and not the other two measures; and no evidence for differences in priming for concrete and abstract concepts. For masked primes there was no priming regardless of the semantic relation. These results challenge theoretical accounts of automatic priming. Rather, they are in line with the idea that priming may be due to participants’ controlled strategic processes. These results provide important insight about the nature of priming and how association strength, as determined from word-association norms, relates to the nature of semantic representation.


Behaviour ◽  
2017 ◽  
Vol 154 (5) ◽  
pp. 541-562 ◽  
Author(s):  
Rachel Y. Chock ◽  
Tina W. Wey ◽  
Luis A. Ebensperger ◽  
Loren D. Hayes

Recent research in behavioural ecology has revealed the structure of animal personality and connections to ecologically and evolutionarily important traits. Personality is hypothesized to influence social interactions through individual behavioural differences or personality-based dyadic interactions. We describe the structure of personality traits and ask if two traits, boldness and exploration, play a role in the strength or pattern of social associations in a wild population of degus, a rodent that often lives communally with unrelated conspecifics. Boldness was repeatable in both adults and juveniles, but exploration was only repeatable in adults. We found evidence for a behavioural syndrome between exploration and boldness in adult degus. We documented negative assortment by exploratory personality type; more exploratory animals shared burrows with less exploratory animals. However, tendency towards boldness and exploration were not predictive of association strength. Our results highlight a potential connection between personality and social structure in a communally nesting species.


Author(s):  
Yu-Ying Chuang ◽  
R. Harald Baayen

Naive discriminative learning (NDL) and linear discriminative learning (LDL) are simple computational algorithms for lexical learning and lexical processing. Both NDL and LDL assume that learning is discriminative, driven by prediction error, and that it is this error that calibrates the association strength between input and output representations. Both words’ forms and their meanings are represented by numeric vectors, and mappings between forms and meanings are set up. For comprehension, form vectors predict meaning vectors. For production, meaning vectors map onto form vectors. These mappings can be learned incrementally, approximating how children learn the words of their language. Alternatively, optimal mappings representing the end state of learning can be estimated. The NDL and LDL algorithms are incorporated in a computational theory of the mental lexicon, the ‘discriminative lexicon’. The model shows good performance both with respect to production and comprehension accuracy, and for predicting aspects of lexical processing, including morphological processing, across a wide range of experiments. Since, mathematically, NDL and LDL implement multivariate multiple regression, the ‘discriminative lexicon’ provides a cognitively motivated statistical modeling approach to lexical processing.


2021 ◽  
Author(s):  
◽  
TJ Boutorwick

<p>This thesis compares two approaches to extensive reading to determine the extent that they facilitate vocabulary development. The first approach is a traditional reading-only approach, and the second approach is a task-based approach which supplements reading with post-reading meaning-focused discussions. These two approaches are compared using a battery of tests, most notably a measure for productive knowledge of word associations.  For years, scholars have believed that word associations have potential to reveal important information about a person’s language proficiency. One reason word associations are intriguing is that a large amount of a person’s lexicon can be assessed (Meara, 2009). This is possible because a large amount of data from the learner can be gathered in a short period of time. Another intriguing aspect of word association data is that it is one aspect of vocabulary knowledge that is not based on correct performance. This raises the question of an appropriate means of assigning value to the associations, a question which still hinders research to this day. Recent research has made progress in this area with a multi-level taxonomy (i.e., Fitzpatrick, 2007), creating a picture of the types of associations which exist in a learner’s lexicon. However, this taxonomy does not address the strength of the association. Wilks and Meara (2007) have attempted to tackle association strength through the use of self-report measures, whereby a test-taker reports strength of association on a four-point scale from weak to strong. This has left them with "...problems which we have not yet solved, notably a tendency for some test takers to claim that most associations are strong, while others appear to be very reluctant to identify strong associations..." (Meara, 2009, p. 80). In other words, the question of how to appropriately determine association strength is still unanswered.  In the current study lexical development, in the form of word association knowledge, was measured using a multi-response word association test. Participants were assessed on their knowledge of 60 target words which occurred in five graded readers that they read over the course of the study. The learners first self-reported their knowledge of the 60 target words in terms of no knowledge, form knowledge, or meaning knowledge. The students provided up to five associations for each word that they reported at either the form or meaning levels. They did this once before reading the five graded readers, and again after finishing the graded readers.  The associations provided by the students were analyzed using Latent Semantic Analysis, a method for computing semantic similarity between words (Landauer & Dumais, 1997). The associations a learner provided for each target word were assigned a similarity value representing how similar they were to the target word to which they were provided. The hypothesis was that the students who engaged in the post-reading discussion activities would show greater increases in associational knowledge of the target words than those students who did not participate in the discussions.  The major finding from this thesis was that the students who struggled with a word during the post-reading discussion and were provided an opportunity to discuss the word with their group developed associational knowledge to a significantly greater degree than those students who did not encounter the words during the discussions. This emphasizes the facilitative role that meaning-focused output activities have on vocabulary development. In addition, the associational knowledge developed at the initial stages of word learning (i.e., from no knowledge to form knowledge), continued to develop from form knowledge of a word to meaning knowledge of the word, and was also developing even when words did not change in reported knowledge. This suggests a continual restructuring of the learners’ lexicon, exemplifying past research (e.g., Henriksen, 1999). Overall, the findings suggest that an extensive reading approach which includes opportunities for meaning-focused interaction has greater benefits for lexical development when compared to a traditional reading-only approach to extensive reading.</p>


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