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7 Websites And Games Like IMVU - Online Virtual Games

"Arnette" (2020-04-26)

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Note that m, c, and r are the keyword nodes in the KeyGraphs of achiever, socializer, and explorer, respectively, and henceforth these findings are used as visualization metrics. Another keyword is "proposed." Three roof terms are "consists," "two," and "techniques." These terms well represent the messages in the abstract. Figure 3 shows an example of KeyGraph when it is applied to the text data taken from the abstract of this paper, where common preprocessing for text data such as removing of conjunctions, determiners, and prepositions is performed. 1)Foundations: subgraphs of highly associated and frequent terms representing basic concepts in the data.(2)Roofs: terms highly associated with foundations.(3)Columns: associations between foundations and pkv roofs used for extracting keywords or main concepts in the data. Associations between terms are defined as the co-occurrence among them in same sentences, and keywords are the terms in either foundations or roofs that are connected to strong columns. Although it was the same story there was something different, and things were unable to click so beautifully or so effortlessly.

From this figure, it can be seen that there is one foundation consisting of four terms, that is, "KeyGraph," "action," "behaviors," and "players." The first three terms are also keywords. Reduce the size of by sampling down a group of repetitive and consecutive elements at each reconstructed row to one element. In our research, the th element in is the DTW distance between the reduced time-series matrices of action sequences of players and . Consider, for example, the set of symbols and two action sequences and . Consider, for example, the set of action symbols , and thus , where symbols A, B, and C are represented by column vectors , , and . For explanation, we use action sequence as an example, where and thus . In addition, we use the function cmdscale in the Statistical Toolbox of Matlab for performing CMDS and select only the first two dimensions of the constructed coordinates for plotting players.

Below, we first give an outline of the Haar wavelet transform and then describe the time-series reduction technique. The th Haar wavelet coefficient at resolution order , , is derived as where is the th average at order between two corresponding adjacent values in order . Reconstruct each row in with selected Haar wavelet coefficients as follows. All other unselected coefficients are then reset to zero. Three major components of KeyGraph are as follows. Under KeyGraph representation, solid lines and their touching black nodes depict foundations, dotted lines depict columns, red nodes depict roofs excluding those in the foundations, and double circles depict keywords. KeyGraph is a visualization tool for discovery of relations among text-based data. Figure 4 shows the resulting KeyGraphs for the three player types, where each KeyGraph was generated from the data sets of the corresponding player type. Figure 5 shows resulting time-series matrix in our example.

Now, we describe our procedure for reducing the length of the time-series matrix of an action sequence of interest. For achievers motivated by advancement, interactions with mission masters should be frequently seen in their action sequences, and thus all possible sets of frequent action symbols for them are c, m, m, n, m, r, c, m, n, c, m, r, m, n, r, and c, m, n, r. Let us consider a set of action symbols c, w, m, n, r, standing for chat, walk, interaction with a mission master, interaction with a nearby object (item, NPC, or monster), and interaction with a remote object, respectively. Let denote the set of action symbols of interest and its cardinality. Derive time-series matrix for action sequence of interest having length . The DTW distance between time-series matrices and , , having lengths and , is defined as follows:where and is the Euclidean distance between and . Here, we describe how action sequences are numerically coded into time-series matrices for computation of DTW distances.

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