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Dynamics of fashion: The case of given names  [PDF]
Damian H. Zanette
Physics , 2012,
Abstract: We analyze the social mechanisms that shape the popularity rise and fall of the names given to newborn babies. During the initial stage, popularity increases by imitation. As the people with the same name grow in number, however, its usage is inhibited and eventually decays. This process mirrors the dynamics of fashion fads. An activator-inhibitor dynamical model for the interplay of the population bearing a name and the expecting couples wishing to give it to their children provides a satisfactory explanation of historical data from the Canadian province of Quebec during the twentieth century.
Recommending Given Names  [PDF]
Folke Mitzlaff,Gerd Stumme
Computer Science , 2013,
Abstract: All over the world, future parents are facing the task of finding a suitable given name for their child. This choice is influenced by different factors, such as the social context, language, cultural background and especially personal taste. Although this task is omnipresent, little research has been conducted on the analysis and application of interrelations among given names from a data mining perspective. The present work tackles the problem of recommending given names, by firstly mining for inter-name relatedness in data from the Social Web. Based on these results, the name search engine "Nameling" was built, which attracted more than 35,000 users within less than six months, underpinning the relevance of the underlying recommendation task. The accruing usage data is then used for evaluating different state-of-the-art recommendation systems, as well our new NameRank algorithm which we adopted from our previous work on folksonomies and which yields the best results, considering the trade-off between prediction accuracy and runtime performance as well as its ability to generate personalized recommendations. We also show, how the gathered inter-name relationships can be used for meaningful result diversification of PageRank-based recommendation systems. As all of the considered usage data is made publicly available, the present work establishes baseline results, encouraging other researchers to implement advanced recommendation systems for given names.
Long-Term Trends in Given Name Frequencies in England and Wales  [PDF]
Douglas A. Galbi
Physics , 2005,
Abstract: The frequency distribution of personal given names offers important evidence about the information economy. This paper presents data on the popularity of the most frequent personal given names (first names) in England and Wales over the past millennium. The popularity of a name is its frequency relative to the total name instances sampled. The data show that the popularity distribution of names, like the popularity of other symbols and artifacts associated with the information economy, can be helpfully viewed as a power law. Moreover, the data on name popularity suggest that historically distinctive changes in the information economy occurred in conjunction with the Industrial Revolution.
Inferring cultural regions from correlation networks of given baby names  [PDF]
Mateusz Pomorski,Malgorzata J. Krawczyk,Krzysztof Kulakowski,Jaroslaw Kwapien,Marcel Ausloos
Computer Science , 2015, DOI: 10.1016/j.physa.2015.11.003
Abstract: We report investigations on the statistical characteristics of the baby names given between 1910 and 2010 in the United States of America. For each year, the 100 most frequent names in the USA are sorted out. For these names, the correlations between the names profiles are calculated for all pairs of states (minus Hawaii and Alaska). The correlations are used to form a weighted network which is found to vary mildly in time. In fact, the structure of communities in the network remains quite stable till about 1980. The goal is that the calculated structure approximately reproduces the usually accepted geopolitical regions: the North East, the South, and the "Midwest + West" as the third one. Furthermore, the dataset reveals that the name distribution satisfies the Zipf law, separately for each state and each year, i.e. the name frequency $f\propto r^{-\alpha}$, where r is the name rank. Between 1920 and 1980, the exponent alpha is the largest one for the set of states classified as 'the South', but the smallest one for the set of states classified as "Midwest + West". Our interpretation is that the pool of selected names was quite narrow in the Southern states. The data is compared with some related statistics of names in Belgium, a country also with different regions, but having quite a different scale than the USA. There, the Zipf exponent is low for young people and for the Brussels citizens.
Dr. Hasan Ali ?AH?N
Turkish Studies , 2008,
Abstract: It can be seen that, in the Old Assyrian society,like in all other societies, the customsand traditionsplayed an important role in giving name. Assyrians thatgiven teophore names, based on the God’s names, to thenewborned babies or sometimes they had given somechildren their ancestors names in accordanca with theirbeliefs. In addition that unlike girls, the boys had giventhe expressive and good names. In this study, I will try toevaluate Assyrians beliefs, traditions and values in theframework of the names given to their children.
Modeling Dynamics of Online Video Popularity  [PDF]
Jiqiang Wu,Yipeng Zhou,Dah Ming Chiu,Youwei Hua,Zirong Zhu
Computer Science , 2014,
Abstract: Large Internet video delivery systems serve millions of videos to tens of millions of users on daily basis, via Video-on-Demand and live streaming. Video popularity evolves over time. It represents the workload, as welll as business value, of the video to the overall system. The ability to predict video popularity is very helpful for improving service quality and operating efficiency. Previous studies adopted simple models for video popularity, or directly adopted patterns from measurement studies. In this paper, we develop a stochastic fluid model that tries to capture two hidden processes that give rise to different patterns of a given video's popularity evolution: the information spreading process, and the user reaction process. Specifically, these processes model how the video is recommended to the user, the videos inherent attractiveness, and users reaction rate, and yield specific popularity evolution patterns. We then validate our model by matching the predictions of the model with observed patterns from our collaborator, a large content provider in China. This model thus gives us the insight to explain the common and different video popularity evolution patterns and why.
A Measurement Study on Resource Popularity and Swarm Evolution of BitTorrent System  [PDF]
Majing Su, Hongli Zhang, Binxing Fang, Lin Ye
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.66032

Analyzing and modeling of the BitTorrent (BT) resource popularity and swarm evolution is important for better understanding current BT system and designing accurate BT simulators. Although lots of measurement studies on BT almost cover each important aspect, little work reflects the recent development of BT system. In this paper, we develop a hybrid measurement system incorporating both active and passive approaches. By exploiting DHT (Distribute Hash Table) and PEX (Peer Exchange) protocols, we collect more extensive information compared to prior measurement systems. Based on the measurement results, we study the resource popularity and swarm evolution with different population in minute/ hour/day scales, and discover that: 1) the resources in BT system appear obvious unbalanced distribution and hotspot phenomenon, in that 74.6% torrents have no more than 1000 peers; 2) The lifetime of torrents can be divided into a fast growing stage, a dramatically shrinking stage, a sustaining stage and a slowly fading out stage in terms of swarm population; 3) Users’ interest and diurnal periodicity are the main factors that influence the swarm evolution. The former dominates the first two stages, while the latter is decisive in the third stage. We raise an improved peer arrival rate model to describe the variation of the swarm population. Comparison results show that our model outperforms the state-of-the-art approach according to root mean square error and correlation coefficient.

Fashion vs. Function in Cultural Evolution: The Case of Dog Breed Popularity  [PDF]
Stefano Ghirlanda, Alberto Acerbi, Harold Herzog, James A. Serpell
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0074770
Abstract: We investigate the relationship between characteristics of dog breeds and their popularity between years 1926 and 2005. We consider breed health, longevity, and behavioral qualities such as aggressiveness, trainability, and fearfulness. We show that a breed's overall popularity, fluctuations in popularity, and rates of increase and decrease around popularity peaks show typically no correlation with these breed characteristics. One exception is the finding that more popular breeds tend to suffer from more inherited disorders. Our results support the hypothesis that dog breed popularity has been primarily determined by fashion rather than function.
Dr. Serkan ?EN
Turkish Studies , 2008,
Abstract: One of the factors which affects the place names inTurkish is the plant cover of the place that will be named.In this context, while the settlements were named fruitnames has used frequently. In my study, the usages of33 fruits that I could find were analyzed. The rate of theusage of fruit names while the place names were givenwas showed. The density of the fruits which were usedwas determined. The frequency of the usage of the fruitswhile giving the names of the settlement places in theprovinces was determined. After that the relationshipbetween climate, plant cover and the situation wasunderlined. During this process, tables and graphs wereconstituted by relying on the word statistics.
Co-evolution of Content Popularity and Delivery in Mobile P2P Networks  [PDF]
Srinivasan Venkatramanan,Anurag Kumar
Computer Science , 2011,
Abstract: Mobile P2P technology provides a scalable approach to content delivery to a large number of users on their mobile devices. In this work, we study the dissemination of a \emph{single} content (e.g., an item of news, a song or a video clip) among a population of mobile nodes. Each node in the population is either a \emph{destination} (interested in the content) or a potential \emph{relay} (not yet interested in the content). There is an interest evolution process by which nodes not yet interested in the content (i.e., relays) can become interested (i.e., become destinations) on learning about the popularity of the content (i.e., the number of already interested nodes). In our work, the interest in the content evolves under the \emph{linear threshold model}. The content is copied between nodes when they make random contact. For this we employ a controlled epidemic spread model. We model the joint evolution of the copying process and the interest evolution process, and derive the joint fluid limit ordinary differential equations. We then study the selection of the parameters under the content provider's control, for the optimization of various objective functions that aim at maximizing content popularity and efficient content delivery.
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