Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
US2017195434A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017195434-A1 |
| Application number | US-201615080169-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 24, 2016 |
| Priority date | Dec 31, 2015 |
| Publication date | Jul 6, 2017 |
| Grant date | — |
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A computer receives, from over an electronic network, a plurality of communications associated with a primary individual. The computer determines, based on analysis of the plurality of communications, at least one location associated with the primary individual. Moreover, the computer identifies other individuals associated with the primary individual. The computer retrieves, from one or more databases, information relating to the other individuals.
Opening claim text (preview).
1 . A computer-implemented system for analyzing electronic communications, comprising: one or more computer-readable storage media that store instructions; and one or more processors configured to execute the instructions to: receive, from over an electronic network, a plurality of communications associated with a primary individual; determine, based on analysis of the plurality of communications, at least one location associated with the primary individual; identify other individuals associated with the primary individual, the other individuals associated with the primary individual being identified based on a number of mutual contacts between the primary individual and each of the other individuals exceeding a threshold value; rank the other individuals based on quantity and type of communications between each other individual and the primary individual to compute a rank score for each other individual, the rank score being computed by assigning a weighting factor to each communication based on a type of the communication and based on a type of relationship and number of mutual contacts between the primary individual and the other individual; retrieve, from one or more databases, information relating to the other individuals; and generate a graphical user interface (GUI), the GUI comprising a first panel for presenting the at least one location associated with the primary individual, a second panel for presenting the retrieved information related to the other individuals, and a third panel for presenting at least one communication from the plurality of communications, the other individuals being arranged, in the second panel of the GUI, according to the computed rank score, the GUI comprising a flagged filter and a geotag filter for filtering the at least one communication. 2 . The computer-implemented system of claim 1 , wherein the one or more processors are configured to execute the instructions to determine at least one location associated with the primary individual by analyzing an Internet protocol (IP) addressed associated with at least one of the received plurality of communications. 3 . The computer-implemented system of claim 1 , wherein the one or more processors are configured to execute the instructions to determine at least one location associated with the primary individual by identifying a location name in the content of at least one of the received plurality of communications. 4 . The computer-implemented system of claim 1 , wherein the one or more processors are configured to execute the instructions to determine at least one location associated with the primary individual by analyzing data associated with at least one of the identified other individuals. 5 . The computer-implemented system of claim 1 , wherein the one or more processors are configured to execute the instructions to determine at least one location associated with the primary individual by: analyzing timestamps associated with the received plurality of communications; identifying a time period of low activity based on the analysis of the timestamps; and determining a potential time zone of the primary individual based on the identified time period. 6 . The computer-implemented system of claim 1 , wherein the one or more processors are further configured to execute the instructions to identify at least two related accounts associated with the primary individual. 7 . The computer-implemented system of claim 6 , wherein the one or more processors are configured to execute the instructions to identify at least two related accounts associated with the primary individual by: analyzing communications associated with a plurality of user accounts for similarities; and designating at least two user accounts as related based on the similarities. 8 . The computer-implemented system of claim 1 , wherein the information relating to the other individuals comprises information relating to communications associated with the other individuals. 9 . The computer-implemented system of claim 1 , wherein the information relating to the other individuals comprises information relating to relationships of the other individuals. 10 . The computer-implemented system of claim 1 , wherein the one or more processors are further configured to assign a score to each of the plurality of communications associated with the primary individual. 11 . The computer-implemented system of claim 10 , wherein the one or more processors are further configured to: determine a composite score based on the scores assigned to the plurality of communications associated with the primary individual; and assign the composite score to the primary individual. 12 . The computer-implemented system of claim 11 , wherein the composite score is determined based on the scores assigned to the plurality of communications associated with the primary individual and a score associated with at least one of the identified other individuals. 13 . The computer-implemented system of claim 1 , wherein the one or more processors are further configured to generate a graphical user interface including panels for presenting the at least one determined location, information relating to the identified other individuals, and at least one of the received plurality of communications. 14 . The computer-implemented system of claim 13 , wherein the one or more processors are further configured to assign a score to each of the plurality of communications associated with the primary individual, wherein the at least one of the received plurality of communications presented in the graphical user interface is sorted by score. 15 . A computer-implemented method performed by one or more processors and comprising: receiving, from over an electronic network, a plurality of communications associated with a primary individual; determining, based on analysis of the plurality of communications, at least one location associated with the primary individual; identifying other individuals associated with the primary individual, the other individuals associated with the primary individual being identified based on a number of mutual contacts between the primary individual and each of the other individuals exceeding a threshold value; ranking the other individuals based on quantity and type of communications between each other individual and the primary individual to compute a rank score for each other individual, the rank score being computed by assigning a weighting factor to each communication based on a type of the communication and based on a type of relationship and number of mutual contacts between the primary individual and the other individual; retrieving, from one or more databases, information relating to the other individuals; and generating a graphical user interface (GUI), the GUI comprising a first panel for presenting the at least one location associated with the primary individual, a second panel for presenting the retrieved information related to the other individuals, and a third panel for presenting at least one communication from the plurality of communications, the other individuals being arranged, in the second panel of the GUI, according to the computed rank score, the GUI comprising a flagged filter and a geotag filter for filtering the at least one communication. 16 . The computer-implemented method of claim 15 , wherein determining at least one location associated with the primary individual comprises analyzing data associated with at least one of the identified other individuals. 17 . The computer-implemented method of claim 15 ,
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