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Top1. Introduction
Today enormous amount of communities are available on the social network that may include sports, education, music, terrorist etc. These communities have been generated based upon the common interest. Out of these existing communities, some are beneficial for mankind and some believe in the destruction of mankind. The users of the particular community share common interest and communicate with each other on the common topic. For instance: sports community discusses the events related to the sports using the keywords related to the sports theme. Hence, these keywords would become an essential parameter in identifying the domain or the community to which the user belongs. With the advancement in the technology, it would become easy for the people to be a part of social network through any digital media such as smart phone, laptop, tablets etc. Consequently, large number of users have been joining the social network that may result in the production of large number of new keywords on the social network. Since new keywords are appearing frequently, so it is essential to find the way to keep track on new words to keep the dictionary up-to date in order to get more accurate results.
In this paper, we are focusing on the radical groups as they are very harmful for the humanity of the whole world. Radical group means the group who wants to recognize enormous transformation to society according to their logics because they contemplate that the things are not favoring them. Being radical is not a bad thing if it is positive change, like the women’s liberation movement of the 1960’s and 1970’s but it sometimes be the incipient of behaviour that inclines towards extremism and terrorism. Today terrorism has reached to its ultimate degree of terror. It becomes threat for the mankind. The formation of the threat is not possible for the single man but is created through a community or group. They are taking the help of online communication media to spread the terror or to accomplish their transgressed ideas against the whole world. They form communities on social media and exchange detrimental information which needs to be stopped. The main noteworthy point is that they mostly communicate using some keywords which are new to the dictionary. Those keywords may either be a code word or normal word. The time span of these new keywords is very small as they are only interested in sending and receiving the important messages for small duration in order to hide their identity. Here, our main focus is the identification of those new words which occur for that short span and are detriment to the society. Also, the linkage of the new keywords with other community is also detected in order to find its impact.
Existing work only considered the existing lexicon to identify the category of message but there is no research that could focus on the classification of the messages with the aid of new keywords also. This paper will focus on the extraction of newly appeared keywords in messages and use those keywords for the classification of messages more accurately. Also, the communities for new keywords will be identified and overlap between those communities will also be analyzed. The concept of overlapped communities will give the idea regarding the type or existence of connections or linkage of the user with other communities.
The remaining paper is structured as under. Related work is given in Section 2 followed by the proposed method to solve the problem in section 3. Results are given in Section 4. In Section 5, discussion about the overlap community is given and finally, in section 6, conclusion and future course of work is given.