Abstract
This work concerns the scope of software engineering and data analysis using artificial intelligence methods. The aim of the work is to analyze (define and categorize) information that we can get for the help of the presented techniques and available technologies, including the development of their models of access to user data, as well as the methods of interpretation and use of the data obtained. The “smart” pro-applications offered by the application can be built based on the application and help to get the most out of the service, reaching a larger and larger group, which obviously creates new business opportunities.
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Notes
- 1.
Microblogging is a description of the phenomenon consisting in publishing very short statuses (usually up to 140 or 160 characters) concerning, among other things, what is being done or thinking, where restricting the length of an entry is enforced by a given platform, and other users subscribe to our statuses (micro-answers) by adding us to the “observed” list.
- 2.
“Scrobbling is a word invented by the creators of the Last.fm site (probably by Richard Jones, founder of Audioscrobbler), meaning creation “creating a history of what we are listening to” [15].
- 3.
It should be approached from a distance—pages on Facebook are created by users, they are not moderated, and in the category “book” equally will be the actual book, its author, or the page entitled “Ladies read.” Last.fm considerably cares more about the correctness and form of data in user statistics (Fig. 7 shows an example).
- 4.
For example, we will gain access to the status published by “protected” users with the user’s friends, which we authenticate.
- 5.
“There is a strong inverse correlation between the number of beneficiaries our app is applauding and the number of users who provide it […], therefore we recommend that our application only expects those rights that it absolutely needs” [14].
- 6.
The mentioned difference of attribute names shows that despite the efforts of Facebook API creators, the data format is not always completely consistent. This may give the parent some unexpected difficulties when implementing the application. During the implementation of the sample application it turned out; because if the date of birth in a fixed format according to the specification of the User object is in the birthday field, if we use the FQL data access method (p. 66), the field with the same name contains date in a somewhat arbitrary format (“depending on from the language setting”), and the field with the expected date is called: birthday date. For the better, the format is different from the previously specified and variable, because it is DD/MM/YYYY when the year of birth is known, when the user does not give, the date is presented in the MM/DD format.
- 7.
Query in FQL language.
- 8.
For scales different from 1, the Dijkstra algorithm or its modifications are used, whereas for equal to 1, the algorithm will become simply a wide-range algorithm, used in the case of no weighting.
- 9.
From the README.postrgraph file: PostgreSQL allows for 8-byte integers and 4-byte floats. Using those will cause “bad things to happen” (PostgreSQL allows 8-byte integers and 4-byte floating point numbers.) Using them will result in bad things happening.
- 10.
The maximum subset of vertices in which there is no edge between me and no two.
- 11.
A coherent sub-graph G is its coherent subgraph not contained in a larger subgraph of the graph G.
- 12.
Under the concept, the term is understood as a single word (e.g., a “chamber”) or a group of words whose meaning is different than individual words forming a group (e.g. “High House”) [40].
- 13.
Do not necessarily present side by side!
- 14.
There is some danger here: if the total penalty for removing the mark and adding a new one will be lower than the penalty for the replacement, it does not matter how much the value of the substitution cost will be determined—instead, separate operations will be calculated Eight and character insertion. It may be difficult to select weights to improve the results, because the distances obtained bed a are identical for insertion, removal and substitution costs equal to 1, 3, 4, respectively, which for 1, 3, 100.
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Poniszewska-Marańda, A., Pokorski, C., Karovič, V. (2020). Analyzing User Profiles with the Use of Social API. In: Kryvinska, N., Greguš, M. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-19069-9_4
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