Dynamics of thematic information flows

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📝 Abstract

The studies of the dynamics of topical dataflow of new information in the framework of a logistic model were suggested. The condition of topic balance, when the number of publications on all topics is proportional to the information space and time, was presented. General time dependence of the publication intensity in the Internet, devoted to particular topics, was observed; unlike an exponent model, it has a saturation area. Some limitations of a logistic model were identified opening the way for further research.

💡 Analysis

The studies of the dynamics of topical dataflow of new information in the framework of a logistic model were suggested. The condition of topic balance, when the number of publications on all topics is proportional to the information space and time, was presented. General time dependence of the publication intensity in the Internet, devoted to particular topics, was observed; unlike an exponent model, it has a saturation area. Some limitations of a logistic model were identified opening the way for further research.

📄 Content

Dynamics of thematic information flows

D.V. Lande, S.M. Braichevskii
Information center ElVisti, Kyiv, Ukraine

The studies of the dynamics of topical dataflow of new information in the framework of a logistic model were suggested. The condition of topic balance, when the number of publications on all topics is proportional to the information space and time, was presented. General time dependence of the publication intensity in the Internet, devoted to particular topics, was observed; unlike an exponent model, it has a saturation area. Some limitations of a logistic model were identified opening the way for further research.

Key words: information flows, Internet network, logistic model, topic balance

Topics

One of the main features of network information space is the availability of a dynamic segment [1], its content changing with time. Thereby, recently the concept of data flows has become relevant [2-4], they begin to play more and more important role in present-day information technologies. Therefore, to study the dynamics of data flows is definitely important and interesting, particularly because the issue has not been researched enough [5].
During recent decades certain achievements have been made in solving the problem of information obsolescence in the framework of model Barton-Kebler [6], which was developed because of the need to evaluate a real usage term of scientific works and also the approaches of Cole and other authors [7]. Later it turned out that the results achieved (as well as the approaches) could be useful in a wider context of the information technologies. However, the comprehension of the processes of the dynamics of data flows requires somewhat deeper analysis and more sophisticated technique.

Studying the dynamics of thematic data flows of new information in a framework of a logistic model is suggested in this work. Common time dependence of the publication intensity was received; it appeared to correspond to experimental data. Alongside with this, limitations of a logistic model have been identified which in turn opens the ways for further research.

Available models

As it is well known, a general structure of the Internet network consists of two main parts – static and dynamic.
The whole Internet space can be relatively divided into two constituents – stable and dynamic, they both have very different characteristics from the point of view of a required integration of data flows. In particular, even information obsolescence processes, loss of its actuality in Barton-Kebler model are described with the equation, which consists of two components: m(t) = 1 – ae-T – be-2T , where m (t) – share of useful information in a total dataflow through time, the first numerator corresponds to stable resources, the second one - dynamic-new. A stable constituent of the Internet contains “long-term” information, while a dynamic constituent has constantly updating resources. Some part of this constituent joins the stable one

2 in the course of time, while a greater part of it “disappears” from the Internet or enters the segment of “hidden” web-space, not accessible for users via known information-retrieval systems. A segment of new information is apparently more vividly dynamic. On the one hand, it has the highest level of updating; on the other hand, huge amount of data is generated and distributed there. In view of our needs, it is this segment which seems to be the best for the research. Generally speaking, information dynamics in the network is due to many factors, most of them cannot be analyzed. As a reasonable assumption, general character of time dependence of the number of thematic publications in the network is defined with very simple regularities, which allow developing mathematic models. In the works we are familiar with and which deal with the information obsolescence, Maltus model is used [8] (probably with some modifications similar to super-position of two curves with different parameters). The advantage of the model is that Maltus equation has an exact answer in the form of a very simple and convenient function – exponent; from the point of view of the result interpretation, it looks very disputable. The main problem is that exponent is a monotonous increasing function: it cannot describe the processes, which by nature must have local extremes.
There is no need to prove that news loses its actuality which results in the decrease of the publication number. To get more adequate dependence, we have to refer to more complicated models. A logistic model appears to be very promising; it was suggested by P. Ferhlust [9] to describe the dynamics of population and by R. Purl [10] – for biological communities; later it was successfully used in numerous researches. The advantage of the model, first of all, is the fact that it combines the simplicity of the task formulation with the possibility

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